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1.  DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases 
Ligthart, Symen | Marzi, Carola | Aslibekyan, Stella | Mendelson, Michael M. | Conneely, Karen N. | Tanaka, Toshiko | Colicino, Elena | Waite, Lindsay L. | Joehanes, Roby | Guan, Weihua | Brody, Jennifer A. | Elks, Cathy | Marioni, Riccardo | Jhun, Min A. | Agha, Golareh | Bressler, Jan | Ward-Caviness, Cavin K. | Chen, Brian H. | Huan, Tianxiao | Bakulski, Kelly | Salfati, Elias L. | Fiorito, Giovanni | Wahl, Simone | Schramm, Katharina | Sha, Jin | Hernandez, Dena G. | Just, Allan C. | Smith, Jennifer A. | Sotoodehnia, Nona | Pilling, Luke C. | Pankow, James S. | Tsao, Phil S. | Liu, Chunyu | Zhao, Wei | Guarrera, Simonetta | Michopoulos, Vasiliki J. | Smith, Alicia K. | Peters, Marjolein J. | Melzer, David | Vokonas, Pantel | Fornage, Myriam | Prokisch, Holger | Bis, Joshua C. | Chu, Audrey Y. | Herder, Christian | Grallert, Harald | Yao, Chen | Shah, Sonia | McRae, Allan F. | Lin, Honghuang | Horvath, Steve | Fallin, Daniele | Hofman, Albert | Wareham, Nicholas J. | Wiggins, Kerri L. | Feinberg, Andrew P. | Starr, John M. | Visscher, Peter M. | Murabito, Joanne M. | Kardia, Sharon L. R. | Absher, Devin M. | Binder, Elisabeth B. | Singleton, Andrew B. | Bandinelli, Stefania | Peters, Annette | Waldenberger, Melanie | Matullo, Giuseppe | Schwartz, Joel D. | Demerath, Ellen W. | Uitterlinden, André G. | van Meurs, Joyce B. J. | Franco, Oscar H. | Chen, Yii-Der Ida | Levy, Daniel | Turner, Stephen T. | Deary, Ian J. | Ressler, Kerry J. | Dupuis, Josée | Ferrucci, Luigi | Ong, Ken K. | Assimes, Themistocles L. | Boerwinkle, Eric | Koenig, Wolfgang | Arnett, Donna K. | Baccarelli, Andrea A. | Benjamin, Emelia J. | Dehghan, Abbas
Genome Biology  2016;17:255.
Background
Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.
Results
We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10–7) in the discovery panel of European ancestry and replicated (P < 2.29 × 10–4) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10–5), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10–3), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10–5). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.
Conclusion
We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.
Electronic supplementary material
The online version of this article (doi:10.1186/s13059-016-1119-5) contains supplementary material, which is available to authorized users.
doi:10.1186/s13059-016-1119-5
PMCID: PMC5151130  PMID: 27955697
Inflammation; DNA methylation; Epigenome-wide association study; C-reactive protein; Body mass index; Diabetes; Coronary heart disease
2.  A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape 
Ried, Janina S. | Jeff M., Janina | Chu, Audrey Y. | Bragg-Gresham, Jennifer L. | van Dongen, Jenny | Huffman, Jennifer E. | Ahluwalia, Tarunveer S. | Cadby, Gemma | Eklund, Niina | Eriksson, Joel | Esko, Tõnu | Feitosa, Mary F. | Goel, Anuj | Gorski, Mathias | Hayward, Caroline | Heard-Costa, Nancy L. | Jackson, Anne U. | Jokinen, Eero | Kanoni, Stavroula | Kristiansson, Kati | Kutalik, Zoltán | Lahti, Jari | Luan, Jian'an | Mägi, Reedik | Mahajan, Anubha | Mangino, Massimo | Medina-Gomez, Carolina | Monda, Keri L. | Nolte, Ilja M. | Pérusse, Louis | Prokopenko, Inga | Qi, Lu | Rose, Lynda M. | Salvi, Erika | Smith, Megan T. | Snieder, Harold | Stančáková, Alena | Ju Sung, Yun | Tachmazidou, Ioanna | Teumer, Alexander | Thorleifsson, Gudmar | van der Harst, Pim | Walker, Ryan W. | Wang, Sophie R. | Wild, Sarah H. | Willems, Sara M. | Wong, Andrew | Zhang, Weihua | Albrecht, Eva | Couto Alves, Alexessander | Bakker, Stephan J. L. | Barlassina, Cristina | Bartz, Traci M. | Beilby, John | Bellis, Claire | Bergman, Richard N. | Bergmann, Sven | Blangero, John | Blüher, Matthias | Boerwinkle, Eric | Bonnycastle, Lori L. | Bornstein, Stefan R. | Bruinenberg, Marcel | Campbell, Harry | Chen, Yii-Der Ida | Chiang, Charleston W. K. | Chines, Peter S. | Collins, Francis S | Cucca, Fracensco | Cupples, L Adrienne | D'Avila, Francesca | de Geus, Eco J .C. | Dedoussis, George | Dimitriou, Maria | Döring, Angela | Eriksson, Johan G. | Farmaki, Aliki-Eleni | Farrall, Martin | Ferreira, Teresa | Fischer, Krista | Forouhi, Nita G. | Friedrich, Nele | Gjesing, Anette Prior | Glorioso, Nicola | Graff, Mariaelisa | Grallert, Harald | Grarup, Niels | Gräßler, Jürgen | Grewal, Jagvir | Hamsten, Anders | Harder, Marie Neergaard | Hartman, Catharina A. | Hassinen, Maija | Hastie, Nicholas | Hattersley, Andrew Tym | Havulinna, Aki S. | Heliövaara, Markku | Hillege, Hans | Hofman, Albert | Holmen, Oddgeir | Homuth, Georg | Hottenga, Jouke-Jan | Hui, Jennie | Husemoen, Lise Lotte | Hysi, Pirro G. | Isaacs, Aaron | Ittermann, Till | Jalilzadeh, Shapour | James, Alan L. | Jørgensen, Torben | Jousilahti, Pekka | Jula, Antti | Marie Justesen, Johanne | Justice, Anne E. | Kähönen, Mika | Karaleftheri, Maria | Tee Khaw, Kay | Keinanen-Kiukaanniemi, Sirkka M. | Kinnunen, Leena | Knekt, Paul B. | Koistinen, Heikki A. | Kolcic, Ivana | Kooner, Ishminder K. | Koskinen, Seppo | Kovacs, Peter | Kyriakou, Theodosios | Laitinen, Tomi | Langenberg, Claudia | Lewin, Alexandra M. | Lichtner, Peter | Lindgren, Cecilia M. | Lindström, Jaana | Linneberg, Allan | Lorbeer, Roberto | Lorentzon, Mattias | Luben, Robert | Lyssenko, Valeriya | Männistö, Satu | Manunta, Paolo | Leach, Irene Mateo | McArdle, Wendy L. | Mcknight, Barbara | Mohlke, Karen L. | Mihailov, Evelin | Milani, Lili | Mills, Rebecca | Montasser, May E. | Morris, Andrew P. | Müller, Gabriele | Musk, Arthur W. | Narisu, Narisu | Ong, Ken K. | Oostra, Ben A. | Osmond, Clive | Palotie, Aarno | Pankow, James S. | Paternoster, Lavinia | Penninx, Brenda W. | Pichler, Irene | Pilia, Maria G. | Polašek, Ozren | Pramstaller, Peter P. | Raitakari, Olli T | Rankinen, Tuomo | Rao, D. C. | Rayner, Nigel W. | Ribel-Madsen, Rasmus | Rice, Treva K. | Richards, Marcus | Ridker, Paul M. | Rivadeneira, Fernando | Ryan, Kathy A. | Sanna, Serena | Sarzynski, Mark A. | Scholtens, Salome | Scott, Robert A. | Sebert, Sylvain | Southam, Lorraine | Sparsø, Thomas Hempel | Steinthorsdottir, Valgerdur | Stirrups, Kathleen | Stolk, Ronald P. | Strauch, Konstantin | Stringham, Heather M. | Swertz, Morris A. | Swift, Amy J. | Tönjes, Anke | Tsafantakis, Emmanouil | van der Most, Peter J. | Van Vliet-Ostaptchouk, Jana V. | Vandenput, Liesbeth | Vartiainen, Erkki | Venturini, Cristina | Verweij, Niek | Viikari, Jorma S. | Vitart, Veronique | Vohl, Marie-Claude | Vonk, Judith M. | Waeber, Gérard | Widén, Elisabeth | Willemsen, Gonneke | Wilsgaard, Tom | Winkler, Thomas W. | Wright, Alan F. | Yerges-Armstrong, Laura M. | Hua Zhao, Jing | Carola Zillikens, M. | Boomsma, Dorret I. | Bouchard, Claude | Chambers, John C. | Chasman, Daniel I. | Cusi, Daniele | Gansevoort, Ron T. | Gieger, Christian | Hansen, Torben | Hicks, Andrew A. | Hu, Frank | Hveem, Kristian | Jarvelin, Marjo-Riitta | Kajantie, Eero | Kooner, Jaspal S. | Kuh, Diana | Kuusisto, Johanna | Laakso, Markku | Lakka, Timo A. | Lehtimäki, Terho | Metspalu, Andres | Njølstad, Inger | Ohlsson, Claes | Oldehinkel, Albertine J. | Palmer, Lyle J. | Pedersen, Oluf | Perola, Markus | Peters, Annette | Psaty, Bruce M. | Puolijoki, Hannu | Rauramaa, Rainer | Rudan, Igor | Salomaa, Veikko | Schwarz, Peter E. H. | Shudiner, Alan R. | Smit, Jan H. | Sørensen, Thorkild I. A. | Spector, Timothy D. | Stefansson, Kari | Stumvoll, Michael | Tremblay, Angelo | Tuomilehto, Jaakko | Uitterlinden, André G. | Uusitupa, Matti | Völker, Uwe | Vollenweider, Peter | Wareham, Nicholas J. | Watkins, Hugh | Wilson, James F. | Zeggini, Eleftheria | Abecasis, Goncalo R. | Boehnke, Michael | Borecki, Ingrid B. | Deloukas, Panos | van Duijn, Cornelia M. | Fox, Caroline | Groop, Leif C. | Heid, Iris M. | Hunter, David J. | Kaplan, Robert C. | McCarthy, Mark I. | North, Kari E. | O'Connell, Jeffrey R. | Schlessinger, David | Thorsteinsdottir, Unnur | Strachan, David P. | Frayling, Timothy | Hirschhorn, Joel N. | Müller-Nurasyid, Martina | Loos, Ruth J. F.
Nature Communications  2016;7:13357.
Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.
Past genome-wide associate studies have identified hundreds of genetic loci that influence body size and shape when examined one trait at a time. Here, Jeff and colleagues develop an aggregate score of various body traits, and use meta-analysis to find new loci linked to body shape.
doi:10.1038/ncomms13357
PMCID: PMC5114527  PMID: 27876822
3.  Epigenetic Signatures at AQP3 and SOCS3 Engage in Low-Grade Inflammation across Different Tissues 
PLoS ONE  2016;11(11):e0166015.
Background
Elevated levels of C-reactive protein (CRP, determined by a high-sensitivity assay) indicate low-grade inflammation which is implicated in many age-related disorders. Epigenetic studies on CRP might discover molecular mechanisms underlying CRP regulation. We aimed to identify DNA methylation sites related to CRP concentrations in cells and tissues regulating low-grade inflammation.
Results
Genome-wide DNA methylation was measured in peripheral blood in 1,741 participants of the KORA F4 study using Illumina HumanMethylation450 BeadChip arrays. Four CpG sites (located at BCL3, AQP3, SOCS3, and cg19821297 intergenic at chromosome 19p13.2, P ≤ 1.01E-07) were significantly hypomethylated at high CRP concentrations independent of various confounders including age, sex, BMI, smoking, and white blood cell composition. Findings were not sex-specific. CRP-related top genes were enriched in JAK/STAT pathways (Benjamini-Hochberg corrected P < 0.05). Results were followed-up in three studies using DNA from peripheral blood (EPICOR, n = 503) and adipose tissue (TwinsUK, n = 368) measured as described above and from liver tissue (LMU liver cohort, n = 286) measured by MALDI-TOF mass spectrometry using EpiTYPER. CpG sites at the AQP3 locus (significant p-values in peripheral blood = 1.72E-03 and liver tissue = 1.51E-03) and the SOCS3 locus (p-values in liver < 2.82E-05) were associated with CRP in the validation panels.
Conclusions
Epigenetic modifications seem to engage in low-grade inflammation, possibly via JAK/STAT mediated pathways. Results suggest a shared relevance across different tissues at the AQP3 locus and highlight a role of DNA methylation for CRP regulation at the SOCS3 locus.
doi:10.1371/journal.pone.0166015
PMCID: PMC5100881  PMID: 27824951
4.  Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D: a cross-sectional analysis in population-based data 
Background: Numerous observational studies have observed associations between vitamin D deficiency and cardiometabolic diseases, but these findings might be confounded by obesity. A characterization of the metabolic profile associated with serum 25-hydroxyvitamin D [25(OH)D] levels, in general and stratified by abdominal obesity, may help to untangle the relationship between vitamin D, obesity and cardiometabolic health.
Methods: Serum metabolomics measurements were obtained from a nuclear magnetic resonance spectroscopy (NMR)- and a mass spectrometry (MS)-based platform. The discovery was conducted in 1726 participants of the population-based KORA-F4 study, in which the associations of the concentrations of 415 metabolites with 25(OH)D levels were assessed in linear models. The results were replicated in 6759 participants (NMR) and 609 (MS) participants, respectively, of the population-based FINRISK 1997 study.
Results: Mean [standard deviation (SD)] 25(OH)D levels were 15.2 (7.5) ng/ml in KORA F4 and 13.8 (5.9) ng/ml in FINRISK 1997; 37 metabolites were associated with 25(OH)D in KORA F4 at P < 0.05/415. Of these, 30 associations were replicated in FINRISK 1997 at P < 0.05/37. Among these were constituents of (very) large very-low-density lipoprotein and small low-density lipoprotein subclasses and related measures like serum triglycerides as well as fatty acids and measures reflecting the degree of fatty acid saturation. The observed associations were independent of waist circumference and generally similar in abdominally obese and non-obese participants.
Conclusions: Independently of abdominal obesity, higher 25(OH)D levels were associated with a metabolite profile characterized by lower concentrations of atherogenic lipids and a higher degree of fatty acid polyunsaturation. These results indicate that the relationship between vitamin D deficiency and cardiometabolic diseases is unlikely to merely reflect obesity-related pathomechanisms.
doi:10.1093/ije/dyw222
PMCID: PMC5100623  PMID: 27605587
25(OH)D; vitamin D; metabolomics; obesity; molecular epidemiology
5.  DNA Methylation of Lipid-Related Genes Affects Blood Lipid Levels 
Background
Epigenetic mechanisms might be involved in the regulation of interindividual lipid level variability and thus may contribute to the cardiovascular risk profile. The aim of this study was to investigate the association between genome-wide DNA methylation and blood lipid levels high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and total cholesterol. Observed DNA methylation changes were also further analyzed to examine their relationship with previous hospitalized myocardial infarction.
Methods and Results
Genome-wide DNA methylation patterns were determined in whole blood samples of 1776 subjects of the Cooperative Health Research in the Region of Augsburg F4 cohort using the Infinium HumanMethylation450 BeadChip (Illumina). Ten novel lipid-related CpG sites annotated to various genes including ABCG1, MIR33B/SREBF1, and TNIP1 were identified. CpG cg06500161, located in ABCG1, was associated in opposite directions with both high-density lipoprotein cholesterol (β coefficient=−0.049; P=8.26E-17) and triglyceride levels (β=0.070; P=1.21E-27). Eight associations were confirmed by replication in the Cooperative Health Research in the Region of Augsburg F3 study (n=499) and in the Invecchiare in Chianti, Aging in the Chianti Area study (n=472). Associations between triglyceride levels and SREBF1 and ABCG1 were also found in adipose tissue of the Multiple Tissue Human Expression Resource cohort (n=634). Expression analysis revealed an association between ABCG1 methylation and lipid levels that might be partly mediated by ABCG1 expression. DNA methylation of ABCG1 might also play a role in previous hospitalized myocardial infarction (odds ratio, 1.15; 95% confidence interval=1.06–1.25).
Conclusions
Epigenetic modifications of the newly identified loci might regulate disturbed blood lipid levels and thus contribute to the development of complex lipid-related diseases.
doi:10.1161/CIRCGENETICS.114.000804
PMCID: PMC5012424  PMID: 25583993
ABCG1; DNA methylatio; epidemiology; gene expression; myocardial infarction
6.  Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function 
Pattaro, Cristian | Teumer, Alexander | Gorski, Mathias | Chu, Audrey Y. | Li, Man | Mijatovic, Vladan | Garnaas, Maija | Tin, Adrienne | Sorice, Rossella | Li, Yong | Taliun, Daniel | Olden, Matthias | Foster, Meredith | Yang, Qiong | Chen, Ming-Huei | Pers, Tune H. | Johnson, Andrew D. | Ko, Yi-An | Fuchsberger, Christian | Tayo, Bamidele | Nalls, Michael | Feitosa, Mary F. | Isaacs, Aaron | Dehghan, Abbas | d’Adamo, Pio | Adeyemo, Adebowale | Dieffenbach, Aida Karina | Zonderman, Alan B. | Nolte, Ilja M. | van der Most, Peter J. | Wright, Alan F. | Shuldiner, Alan R. | Morrison, Alanna C. | Hofman, Albert | Smith, Albert V. | Dreisbach, Albert W. | Franke, Andre | Uitterlinden, Andre G. | Metspalu, Andres | Tonjes, Anke | Lupo, Antonio | Robino, Antonietta | Johansson, Åsa | Demirkan, Ayse | Kollerits, Barbara | Freedman, Barry I. | Ponte, Belen | Oostra, Ben A. | Paulweber, Bernhard | Krämer, Bernhard K. | Mitchell, Braxton D. | Buckley, Brendan M. | Peralta, Carmen A. | Hayward, Caroline | Helmer, Catherine | Rotimi, Charles N. | Shaffer, Christian M. | Müller, Christian | Sala, Cinzia | van Duijn, Cornelia M. | Saint-Pierre, Aude | Ackermann, Daniel | Shriner, Daniel | Ruggiero, Daniela | Toniolo, Daniela | Lu, Yingchang | Cusi, Daniele | Czamara, Darina | Ellinghaus, David | Siscovick, David S. | Ruderfer, Douglas | Gieger, Christian | Grallert, Harald | Rochtchina, Elena | Atkinson, Elizabeth J. | Holliday, Elizabeth G. | Boerwinkle, Eric | Salvi, Erika | Bottinger, Erwin P. | Murgia, Federico | Rivadeneira, Fernando | Ernst, Florian | Kronenberg, Florian | Hu, Frank B. | Navis, Gerjan J. | Curhan, Gary C. | Ehret, George B. | Homuth, Georg | Coassin, Stefan | Thun, Gian-Andri | Pistis, Giorgio | Gambaro, Giovanni | Malerba, Giovanni | Montgomery, Grant W. | Eiriksdottir, Gudny | Jacobs, Gunnar | Li, Guo | Wichmann, H.-Erich | Campbell, Harry | Schmidt, Helena | Wallaschofski, Henri | Völzke, Henry | Brenner, Hermann | Kroemer, Heyo K. | Kramer, Holly | Lin, Honghuang | Leach, I. Mateo | Ford, Ian | Guessous, Idris | Rudan, Igor | Prokopenko, Inga | Borecki, Ingrid | Heid, Iris M. | Kolcic, Ivana | Persico, Ivana | Jukema, J. Wouter | Wilson, James F. | Felix, Janine F. | Divers, Jasmin | Lambert, Jean-Charles | Stafford, Jeanette M. | Gaspoz, Jean-Michel | Smith, Jennifer A. | Faul, Jessica D. | Wang, Jie Jin | Ding, Jingzhong | Hirschhorn, Joel N. | Attia, John | Whitfield, John B. | Chalmers, John | Viikari, Jorma | Coresh, Josef | Denny, Joshua C. | Karjalainen, Juha | Fernandes, Jyotika K. | Endlich, Karlhans | Butterbach, Katja | Keene, Keith L. | Lohman, Kurt | Portas, Laura | Launer, Lenore J. | Lyytikäinen, Leo-Pekka | Yengo, Loic | Franke, Lude | Ferrucci, Luigi | Rose, Lynda M. | Kedenko, Lyudmyla | Rao, Madhumathi | Struchalin, Maksim | Kleber, Marcus E. | Cavalieri, Margherita | Haun, Margot | Cornelis, Marilyn C. | Ciullo, Marina | Pirastu, Mario | de Andrade, Mariza | McEvoy, Mark A. | Woodward, Mark | Adam, Martin | Cocca, Massimiliano | Nauck, Matthias | Imboden, Medea | Waldenberger, Melanie | Pruijm, Menno | Metzger, Marie | Stumvoll, Michael | Evans, Michele K. | Sale, Michele M. | Kähönen, Mika | Boban, Mladen | Bochud, Murielle | Rheinberger, Myriam | Verweij, Niek | Bouatia-Naji, Nabila | Martin, Nicholas G. | Hastie, Nick | Probst-Hensch, Nicole | Soranzo, Nicole | Devuyst, Olivier | Raitakari, Olli | Gottesman, Omri | Franco, Oscar H | Polasek, Ozren | Gasparini, Paolo | Munroe, Patricia B. | Ridker, Paul M. | Mitchell, Paul | Muntner, Paul | Meisinger, Christa | Smit, Johannes H. | Kovacs, Peter | Wild, Philipp S. | Froguel, Philippe | Rettig, Rainer | Magi, Reedik | Biffar, Reiner | Schmidt, Reinhold | Middelberg, Rita PS | Carroll, Robert J. | Penninx, Brenda W. | Scott, Rodney J. | Katz, Ronit | Sedaghat, Sanaz | Wild, Sarah H. | Kardia, Sharon L.R. | Ulivi, Sheila | Hwang, Shih-Jen | Enroth, Stefan | Kloiber, Stefan | Trompet, Stella | Stengel, Benedicte | Hancock, Stephen J. | Turner, Stephen T. | Rosas, Sylvia E. | Stracke, Sylvia | Harris, Tamara B. | Zeller, Tanja | Zemunik, Tatijana | Lehtimäki, Terho | Illig, Thomas | Aspelund, Thor | Nikopensius, Tiit | Esko, Tonu | Tanaka, Toshiko | Gyllensten, Ulf | Völker, Uwe | Emilsson, Valur | Vitart, Veronique | Aalto, Ville | Gudnason, Vilmundur | Chouraki, Vincent | Chen, Wei-Min | Igl, Wilmar | März, Winfried | Koenig, Wolfgang | Lieb, Wolfgang | Loos, Ruth J. F. | Liu, Yongmei | Snieder, Harold | Pramstaller, Peter P. | Parsa, Afshin | O’Connell, Jeffrey R. | Susztak, Katalin | Hamet, Pavel | Tremblay, Johanne | de Boer, Ian H. | Böger, Carsten A. | Goessling, Wolfram | Chasman, Daniel I. | Köttgen, Anna | Kao, WH Linda | Fox, Caroline S.
Nature communications  2016;7:10023.
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, nineteen associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biologic pathways.
doi:10.1038/ncomms10023
PMCID: PMC4735748  PMID: 26831199
7.  Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study 
Winkler, Thomas W. | Justice, Anne E. | Graff, Mariaelisa | Barata, Llilda | Feitosa, Mary F. | Chu, Su | Czajkowski, Jacek | Esko, Tõnu | Fall, Tove | Kilpeläinen, Tuomas O. | Lu, Yingchang | Mägi, Reedik | Mihailov, Evelin | Pers, Tune H. | Rüeger, Sina | Teumer, Alexander | Ehret, Georg B. | Ferreira, Teresa | Heard-Costa, Nancy L. | Karjalainen, Juha | Lagou, Vasiliki | Mahajan, Anubha | Neinast, Michael D. | Prokopenko, Inga | Simino, Jeannette | Teslovich, Tanya M. | Jansen, Rick | Westra, Harm-Jan | White, Charles C. | Absher, Devin | Ahluwalia, Tarunveer S. | Ahmad, Shafqat | Albrecht, Eva | Alves, Alexessander Couto | Bragg-Gresham, Jennifer L. | de Craen, Anton J. M. | Bis, Joshua C. | Bonnefond, Amélie | Boucher, Gabrielle | Cadby, Gemma | Cheng, Yu-Ching | Chiang, Charleston W. K. | Delgado, Graciela | Demirkan, Ayse | Dueker, Nicole | Eklund, Niina | Eiriksdottir, Gudny | Eriksson, Joel | Feenstra, Bjarke | Fischer, Krista | Frau, Francesca | Galesloot, Tessel E. | Geller, Frank | Goel, Anuj | Gorski, Mathias | Grammer, Tanja B. | Gustafsson, Stefan | Haitjema, Saskia | Hottenga, Jouke-Jan | Huffman, Jennifer E. | Jackson, Anne U. | Jacobs, Kevin B. | Johansson, Åsa | Kaakinen, Marika | Kleber, Marcus E. | Lahti, Jari | Mateo Leach, Irene | Lehne, Benjamin | Liu, Youfang | Lo, Ken Sin | Lorentzon, Mattias | Luan, Jian'an | Madden, Pamela A. F. | Mangino, Massimo | McKnight, Barbara | Medina-Gomez, Carolina | Monda, Keri L. | Montasser, May E. | Müller, Gabriele | Müller-Nurasyid, Martina | Nolte, Ilja M. | Panoutsopoulou, Kalliope | Pascoe, Laura | Paternoster, Lavinia | Rayner, Nigel W. | Renström, Frida | Rizzi, Federica | Rose, Lynda M. | Ryan, Kathy A. | Salo, Perttu | Sanna, Serena | Scharnagl, Hubert | Shi, Jianxin | Smith, Albert Vernon | Southam, Lorraine | Stančáková, Alena | Steinthorsdottir, Valgerdur | Strawbridge, Rona J. | Sung, Yun Ju | Tachmazidou, Ioanna | Tanaka, Toshiko | Thorleifsson, Gudmar | Trompet, Stella | Pervjakova, Natalia | Tyrer, Jonathan P. | Vandenput, Liesbeth | van der Laan, Sander W | van der Velde, Nathalie | van Setten, Jessica | van Vliet-Ostaptchouk, Jana V. | Verweij, Niek | Vlachopoulou, Efthymia | Waite, Lindsay L. | Wang, Sophie R. | Wang, Zhaoming | Wild, Sarah H. | Willenborg, Christina | Wilson, James F. | Wong, Andrew | Yang, Jian | Yengo, Loïc | Yerges-Armstrong, Laura M. | Yu, Lei | Zhang, Weihua | Zhao, Jing Hua | Andersson, Ehm A. | Bakker, Stephan J. L. | Baldassarre, Damiano | Banasik, Karina | Barcella, Matteo | Barlassina, Cristina | Bellis, Claire | Benaglio, Paola | Blangero, John | Blüher, Matthias | Bonnet, Fabrice | Bonnycastle, Lori L. | Boyd, Heather A. | Bruinenberg, Marcel | Buchman, Aron S | Campbell, Harry | Chen, Yii-Der Ida | Chines, Peter S. | Claudi-Boehm, Simone | Cole, John | Collins, Francis S. | de Geus, Eco J. C. | de Groot, Lisette C. P. G. M. | Dimitriou, Maria | Duan, Jubao | Enroth, Stefan | Eury, Elodie | Farmaki, Aliki-Eleni | Forouhi, Nita G. | Friedrich, Nele | Gejman, Pablo V. | Gigante, Bruna | Glorioso, Nicola | Go, Alan S. | Gottesman, Omri | Gräßler, Jürgen | Grallert, Harald | Grarup, Niels | Gu, Yu-Mei | Broer, Linda | Ham, Annelies C. | Hansen, Torben | Harris, Tamara B. | Hartman, Catharina A. | Hassinen, Maija | Hastie, Nicholas | Hattersley, Andrew T. | Heath, Andrew C. | Henders, Anjali K. | Hernandez, Dena | Hillege, Hans | Holmen, Oddgeir | Hovingh, Kees G | Hui, Jennie | Husemoen, Lise L. | Hutri-Kähönen, Nina | Hysi, Pirro G. | Illig, Thomas | De Jager, Philip L. | Jalilzadeh, Shapour | Jørgensen, Torben | Jukema, J. Wouter | Juonala, Markus | Kanoni, Stavroula | Karaleftheri, Maria | Khaw, Kay Tee | Kinnunen, Leena | Kittner, Steven J. | Koenig, Wolfgang | Kolcic, Ivana | Kovacs, Peter | Krarup, Nikolaj T. | Kratzer, Wolfgang | Krüger, Janine | Kuh, Diana | Kumari, Meena | Kyriakou, Theodosios | Langenberg, Claudia | Lannfelt, Lars | Lanzani, Chiara | Lotay, Vaneet | Launer, Lenore J. | Leander, Karin | Lindström, Jaana | Linneberg, Allan | Liu, Yan-Ping | Lobbens, Stéphane | Luben, Robert | Lyssenko, Valeriya | Männistö, Satu | Magnusson, Patrik K. | McArdle, Wendy L. | Menni, Cristina | Merger, Sigrun | Milani, Lili | Montgomery, Grant W. | Morris, Andrew P. | Narisu, Narisu | Nelis, Mari | Ong, Ken K. | Palotie, Aarno | Pérusse, Louis | Pichler, Irene | Pilia, Maria G. | Pouta, Anneli | Rheinberger, Myriam | Ribel-Madsen, Rasmus | Richards, Marcus | Rice, Kenneth M. | Rice, Treva K. | Rivolta, Carlo | Salomaa, Veikko | Sanders, Alan R. | Sarzynski, Mark A. | Scholtens, Salome | Scott, Robert A. | Scott, William R. | Sebert, Sylvain | Sengupta, Sebanti | Sennblad, Bengt | Seufferlein, Thomas | Silveira, Angela | Slagboom, P. Eline | Smit, Jan H. | Sparsø, Thomas H. | Stirrups, Kathleen | Stolk, Ronald P. | Stringham, Heather M. | Swertz, Morris A | Swift, Amy J. | Syvänen, Ann-Christine | Tan, Sian-Tsung | Thorand, Barbara | Tönjes, Anke | Tremblay, Angelo | Tsafantakis, Emmanouil | van der Most, Peter J. | Völker, Uwe | Vohl, Marie-Claude | Vonk, Judith M. | Waldenberger, Melanie | Walker, Ryan W. | Wennauer, Roman | Widén, Elisabeth | Willemsen, Gonneke | Wilsgaard, Tom | Wright, Alan F. | Zillikens, M. Carola | van Dijk, Suzanne C. | van Schoor, Natasja M. | Asselbergs, Folkert W. | de Bakker, Paul I. W. | Beckmann, Jacques S. | Beilby, John | Bennett, David A. | Bergman, Richard N. | Bergmann, Sven | Böger, Carsten A. | Boehm, Bernhard O. | Boerwinkle, Eric | Boomsma, Dorret I. | Bornstein, Stefan R. | Bottinger, Erwin P. | Bouchard, Claude | Chambers, John C. | Chanock, Stephen J. | Chasman, Daniel I. | Cucca, Francesco | Cusi, Daniele | Dedoussis, George | Erdmann, Jeanette | Eriksson, Johan G. | Evans, Denis A. | de Faire, Ulf | Farrall, Martin | Ferrucci, Luigi | Ford, Ian | Franke, Lude | Franks, Paul W. | Froguel, Philippe | Gansevoort, Ron T. | Gieger, Christian | Grönberg, Henrik | Gudnason, Vilmundur | Gyllensten, Ulf | Hall, Per | Hamsten, Anders | van der Harst, Pim | Hayward, Caroline | Heliövaara, Markku | Hengstenberg, Christian | Hicks, Andrew A | Hingorani, Aroon | Hofman, Albert | Hu, Frank | Huikuri, Heikki V. | Hveem, Kristian | James, Alan L. | Jordan, Joanne M. | Jula, Antti | Kähönen, Mika | Kajantie, Eero | Kathiresan, Sekar | Kiemeney, Lambertus A. L. M. | Kivimaki, Mika | Knekt, Paul B. | Koistinen, Heikki A. | Kooner, Jaspal S. | Koskinen, Seppo | Kuusisto, Johanna | Maerz, Winfried | Martin, Nicholas G | Laakso, Markku | Lakka, Timo A. | Lehtimäki, Terho | Lettre, Guillaume | Levinson, Douglas F. | Lind, Lars | Lokki, Marja-Liisa | Mäntyselkä, Pekka | Melbye, Mads | Metspalu, Andres | Mitchell, Braxton D. | Moll, Frans L. | Murray, Jeffrey C. | Musk, Arthur W. | Nieminen, Markku S. | Njølstad, Inger | Ohlsson, Claes | Oldehinkel, Albertine J. | Oostra, Ben A. | Palmer, Lyle J | Pankow, James S. | Pasterkamp, Gerard | Pedersen, Nancy L. | Pedersen, Oluf | Penninx, Brenda W. | Perola, Markus | Peters, Annette | Polašek, Ozren | Pramstaller, Peter P. | Psaty, Bruce M. | Qi, Lu | Quertermous, Thomas | Raitakari, Olli T. | Rankinen, Tuomo | Rauramaa, Rainer | Ridker, Paul M. | Rioux, John D. | Rivadeneira, Fernando | Rotter, Jerome I. | Rudan, Igor | den Ruijter, Hester M. | Saltevo, Juha | Sattar, Naveed | Schunkert, Heribert | Schwarz, Peter E. H. | Shuldiner, Alan R. | Sinisalo, Juha | Snieder, Harold | Sørensen, Thorkild I. A. | Spector, Tim D. | Staessen, Jan A. | Stefania, Bandinelli | Thorsteinsdottir, Unnur | Stumvoll, Michael | Tardif, Jean-Claude | Tremoli, Elena | Tuomilehto, Jaakko | Uitterlinden, André G. | Uusitupa, Matti | Verbeek, André L. M. | Vermeulen, Sita H. | Viikari, Jorma S. | Vitart, Veronique | Völzke, Henry | Vollenweider, Peter | Waeber, Gérard | Walker, Mark | Wallaschofski, Henri | Wareham, Nicholas J. | Watkins, Hugh | Zeggini, Eleftheria | Chakravarti, Aravinda | Clegg, Deborah J. | Cupples, L. Adrienne | Gordon-Larsen, Penny | Jaquish, Cashell E. | Rao, D. C. | Abecasis, Goncalo R. | Assimes, Themistocles L. | Barroso, Inês | Berndt, Sonja I. | Boehnke, Michael | Deloukas, Panos | Fox, Caroline S. | Groop, Leif C. | Hunter, David J. | Ingelsson, Erik | Kaplan, Robert C. | McCarthy, Mark I. | Mohlke, Karen L. | O'Connell, Jeffrey R. | Schlessinger, David | Strachan, David P. | Stefansson, Kari | van Duijn, Cornelia M. | Hirschhorn, Joel N. | Lindgren, Cecilia M. | Heid, Iris M. | North, Kari E. | Borecki, Ingrid B. | Kutalik, Zoltán | Loos, Ruth J. F.
PLoS Genetics  2016;12(6):e1006166.
doi:10.1371/journal.pgen.1006166
PMCID: PMC4927064  PMID: 27355579
8.  Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women 
PLoS ONE  2016;11(6):e0157733.
Objective
Our study aims to identify metabolic markers associated with either a gain in abdominal (measured by waist circumference) or peripheral (measured by hip circumference) body fat mass.
Methods
Data of 4 126 weight-gaining adults (18–75 years) from three population-based, prospective German cohort studies (EPIC, KORA, DEGS) were analysed regarding a waist-gaining (WG) or hip-gaining phenotype (HG). The phenotypes were obtained by calculating the differences of annual changes in waist minus hip circumference. The difference was displayed for all cohorts. The highest 10% of this difference were defined as WG whereas the lowest 10% were defined as HG. A total of 121 concordant metabolite measurements were conducted using Biocrates AbsoluteIDQ® kits in EPIC and KORA. Sex-specific associations with metabolite concentration as independent and phenotype as the dependent variable adjusted for confounders were calculated. The Benjamini-Hochberg method was used to correct for multiple testing.
Results
Across studies both sexes gained on average more waist than hip circumference. We could identify 12 metabolites as being associated with the WG (n = 8) or HG (n = 4) in men, but none were significant after correction for multiple testing; 45 metabolites were associated with the WG (n = 41) or HG (n = 4) in women. For WG, n = 21 metabolites remained significant after correction for multiple testing. Respective odds ratios (OR) ranged from 0.66 to 0.73 for tryptophan, the diacyl-phosphatidylcholines (PC) C32:3, C36:0, C38:0, C38:1, C42:2, C42:5, the acyl-alkyl-PCs C32:2, C34:0, C36:0, C36:1, C36:2, C38:0, C38:2, C40:1, C40:2, C40:5, C40:6, 42:2, C42:3 and lyso-PC C17:0.
Conclusion
Both weight-gaining men and women showed a clear tendency to gain more abdominal than peripheral fat. Gain of abdominal fat seems to be related to an initial metabolic state reflected by low concentrations of specific metabolites, at least in women. Thus, higher levels of specific PCs may play a protective role in gaining waist circumference.
doi:10.1371/journal.pone.0157733
PMCID: PMC4920591  PMID: 27322650
9.  Genetic fine-mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci 
Gaulton, Kyle J | Ferreira, Teresa | Lee, Yeji | Raimondo, Anne | Mägi, Reedik | Reschen, Michael E | Mahajan, Anubha | Locke, Adam | Rayner, N William | Robertson, Neil | Scott, Robert A | Prokopenko, Inga | Scott, Laura J | Green, Todd | Sparso, Thomas | Thuillier, Dorothee | Yengo, Loic | Grallert, Harald | Wahl, Simone | Frånberg, Mattias | Strawbridge, Rona J | Kestler, Hans | Chheda, Himanshu | Eisele, Lewin | Gustafsson, Stefan | Steinthorsdottir, Valgerdur | Thorleifsson, Gudmar | Qi, Lu | Karssen, Lennart C | van Leeuwen, Elisabeth M | Willems, Sara M | Li, Man | Chen, Han | Fuchsberger, Christian | Kwan, Phoenix | Ma, Clement | Linderman, Michael | Lu, Yingchang | Thomsen, Soren K | Rundle, Jana K | Beer, Nicola L | van de Bunt, Martijn | Chalisey, Anil | Kang, Hyun Min | Voight, Benjamin F | Abecasis, Goncalo R | Almgren, Peter | Baldassarre, Damiano | Balkau, Beverley | Benediktsson, Rafn | Blüher, Matthias | Boeing, Heiner | Bonnycastle, Lori L | Borringer, Erwin P | Burtt, Noël P | Carey, Jason | Charpentier, Guillaume | Chines, Peter S | Cornelis, Marilyn C | Couper, David J | Crenshaw, Andrew T | van Dam, Rob M | Doney, Alex SF | Dorkhan, Mozhgan | Edkins, Sarah | Eriksson, Johan G | Esko, Tonu | Eury, Elodie | Fadista, João | Flannick, Jason | Fontanillas, Pierre | Fox, Caroline | Franks, Paul W | Gertow, Karl | Gieger, Christian | Gigante, Bruna | Gottesman, Omri | Grant, George B | Grarup, Niels | Groves, Christopher J | Hassinen, Maija | Have, Christian T | Herder, Christian | Holmen, Oddgeir L | Hreidarsson, Astradur B | Humphries, Steve E | Hunter, David J | Jackson, Anne U | Jonsson, Anna | Jørgensen, Marit E | Jørgensen, Torben | Kao, Wen-Hong L | Kerrison, Nicola D | Kinnunen, Leena | Klopp, Norman | Kong, Augustine | Kovacs, Peter | Kraft, Peter | Kravic, Jasmina | Langford, Cordelia | Leander, Karin | Liang, Liming | Lichtner, Peter | Lindgren, Cecilia M | Lindholm, Eero | Linneberg, Allan | Liu, Ching-Ti | Lobbens, Stéphane | Luan, Jian’an | Lyssenko, Valeriya | Mӓnnistö, Satu | McLeod, Olga | Meyer, Julia | Mihailov, Evelin | Mirza, Ghazala | Mühleisen, Thomas W | Müller-Nurasyid, Martina | Navarro, Carmen | Nöthen, Markus M | Oskolkov, Nikolay N | Owen, Katharine R | Palli, Domenico | Pechlivanis, Sonali | Peltonen, Leena | Perry, John RB | Platou, Carl GP | Roden, Michael | Ruderfer, Douglas | Rybin, Denis | van der Schouw, Yvonne T | Sennblad, Bengt | Sigurđsson, Gunnar | Stančáková, Alena | Steinbach, Gerald | Storm, Petter | Strauch, Konstantin | Stringham, Heather M | Sun, Qi | Thorand, Barbara | Tikkanen, Emmi | Tonjes, Anke | Trakalo, Joseph | Tremoli, Elena | Tuomi, Tiinamaija | Wennauer, Roman | Wiltshire, Steven | Wood, Andrew R | Zeggini, Eleftheria | Dunham, Ian | Birney, Ewan | Pasquali, Lorenzo | Ferrer, Jorge | Loos, Ruth JF | Dupuis, Josée | Florez, Jose C | Boerwinkle, Eric | Pankow, James S | van Duijn, Cornelia | Sijbrands, Eric | Meigs, James B | Hu, Frank B | Thorsteinsdottir, Unnur | Stefansson, Kari | Lakka, Timo A | Rauramaa, Rainer | Stumvoll, Michael | Pedersen, Nancy L | Lind, Lars | Keinanen-Kiukaanniemi, Sirkka M | Korpi-Hyövӓlti, Eeva | Saaristo, Timo E | Saltevo, Juha | Kuusisto, Johanna | Laakso, Markku | Metspalu, Andres | Erbel, Raimund | Jöckel, Karl-Heinz | Moebus, Susanne | Ripatti, Samuli | Salomaa, Veikko | Ingelsson, Erik | Boehm, Bernhard O | Bergman, Richard N | Collins, Francis S | Mohlke, Karen L | Koistinen, Heikki | Tuomilehto, Jaakko | Hveem, Kristian | Njølstad, Inger | Deloukas, Panagiotis | Donnelly, Peter J | Frayling, Timothy M | Hattersley, Andrew T | de Faire, Ulf | Hamsten, Anders | Illig, Thomas | Peters, Annette | Cauchi, Stephane | Sladek, Rob | Froguel, Philippe | Hansen, Torben | Pedersen, Oluf | Morris, Andrew D | Palmer, Collin NA | Kathiresan, Sekar | Melander, Olle | Nilsson, Peter M | Groop, Leif C | Barroso, Inês | Langenberg, Claudia | Wareham, Nicholas J | O’Callaghan, Christopher A | Gloyn, Anna L | Altshuler, David | Boehnke, Michael | Teslovich, Tanya M | McCarthy, Mark I | Morris, Andrew P
Nature genetics  2015;47(12):1415-1425.
We performed fine-mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in/near KCNQ1. “Credible sets” of variants most likely to drive each distinct signal mapped predominantly to non-coding sequence, implying that T2D association is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine-mapping implicated rs10830963 as driving T2D association. We confirmed that this T2D-risk allele increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D-risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
doi:10.1038/ng.3437
PMCID: PMC4666734  PMID: 26551672
10.  Genetic fine-mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci 
Gaulton, Kyle J | Ferreira, Teresa | Lee, Yeji | Raimondo, Anne | Mägi, Reedik | Reschen, Michael E | Mahajan, Anubha | Locke, Adam | Rayner, N William | Robertson, Neil | Scott, Robert A | Prokopenko, Inga | Scott, Laura J | Green, Todd | Sparso, Thomas | Thuillier, Dorothee | Yengo, Loic | Grallert, Harald | Wahl, Simone | Frånberg, Mattias | Strawbridge, Rona J | Kestler, Hans | Chheda, Himanshu | Eisele, Lewin | Gustafsson, Stefan | Steinthorsdottir, Valgerdur | Thorleifsson, Gudmar | Qi, Lu | Karssen, Lennart C | van Leeuwen, Elisabeth M | Willems, Sara M | Li, Man | Chen, Han | Fuchsberger, Christian | Kwan, Phoenix | Ma, Clement | Linderman, Michael | Lu, Yingchang | Thomsen, Soren K | Rundle, Jana K | Beer, Nicola L | van de Bunt, Martijn | Chalisey, Anil | Kang, Hyun Min | Voight, Benjamin F | Abecasis, Goncalo R | Almgren, Peter | Baldassarre, Damiano | Balkau, Beverley | Benediktsson, Rafn | Blüher, Matthias | Boeing, Heiner | Bonnycastle, Lori L | Borringer, Erwin P | Burtt, Noël P | Carey, Jason | Charpentier, Guillaume | Chines, Peter S | Cornelis, Marilyn C | Couper, David J | Crenshaw, Andrew T | van Dam, Rob M | Doney, Alex SF | Dorkhan, Mozhgan | Edkins, Sarah | Eriksson, Johan G | Esko, Tonu | Eury, Elodie | Fadista, João | Flannick, Jason | Fontanillas, Pierre | Fox, Caroline | Franks, Paul W | Gertow, Karl | Gieger, Christian | Gigante, Bruna | Gottesman, Omri | Grant, George B | Grarup, Niels | Groves, Christopher J | Hassinen, Maija | Have, Christian T | Herder, Christian | Holmen, Oddgeir L | Hreidarsson, Astradur B | Humphries, Steve E | Hunter, David J | Jackson, Anne U | Jonsson, Anna | Jørgensen, Marit E | Jørgensen, Torben | Kao, Wen-Hong L | Kerrison, Nicola D | Kinnunen, Leena | Klopp, Norman | Kong, Augustine | Kovacs, Peter | Kraft, Peter | Kravic, Jasmina | Langford, Cordelia | Leander, Karin | Liang, Liming | Lichtner, Peter | Lindgren, Cecilia M | Lindholm, Eero | Linneberg, Allan | Liu, Ching-Ti | Lobbens, Stéphane | Luan, Jian’an | Lyssenko, Valeriya | Männistö, Satu | McLeod, Olga | Meyer, Julia | Mihailov, Evelin | Mirza, Ghazala | Mühleisen, Thomas W | Müller-Nurasyid, Martina | Navarro, Carmen | Nöthen, Markus M | Oskolkov, Nikolay N | Owen, Katharine R | Palli, Domenico | Pechlivanis, Sonali | Peltonen, Leena | Perry, John RB | Platou, Carl GP | Roden, Michael | Ruderfer, Douglas | Rybin, Denis | van der Schouw, Yvonne T | Sennblad, Bengt | Sigurðsson, Gunnar | Stančáková, Alena | Steinbach, Gerald | Storm, Petter | Strauch, Konstantin | Stringham, Heather M | Sun, Qi | Thorand, Barbara | Tikkanen, Emmi | Tonjes, Anke | Trakalo, Joseph | Tremoli, Elena | Tuomi, Tiinamaija | Wennauer, Roman | Wiltshire, Steven | Wood, Andrew R | Zeggini, Eleftheria | Dunham, Ian | Birney, Ewan | Pasquali, Lorenzo | Ferrer, Jorge | Loos, Ruth JF | Dupuis, Josée | Florez, Jose C | Boerwinkle, Eric | Pankow, James S | van Duijn, Cornelia | Sijbrands, Eric | Meigs, James B | Hu, Frank B | Thorsteinsdottir, Unnur | Stefansson, Kari | Lakka, Timo A | Rauramaa, Rainer | Stumvoll, Michael | Pedersen, Nancy L | Lind, Lars | Keinanen-Kiukaanniemi, Sirkka M | Korpi-Hyövälti, Eeva | Saaristo, Timo E | Saltevo, Juha | Kuusisto, Johanna | Laakso, Markku | Metspalu, Andres | Erbel, Raimund | Jöckel, Karl-Heinz | Moebus, Susanne | Ripatti, Samuli | Salomaa, Veikko | Ingelsson, Erik | Boehm, Bernhard O | Bergman, Richard N | Collins, Francis S | Mohlke, Karen L | Koistinen, Heikki | Tuomilehto, Jaakko | Hveem, Kristian | Njølstad, Inger | Deloukas, Panagiotis | Donnelly, Peter J | Frayling, Timothy M | Hattersley, Andrew T | de Faire, Ulf | Hamsten, Anders | Illig, Thomas | Peters, Annette | Cauchi, Stephane | Sladek, Rob | Froguel, Philippe | Hansen, Torben | Pedersen, Oluf | Morris, Andrew D | Palmer, Collin NA | Kathiresan, Sekar | Melander, Olle | Nilsson, Peter M | Groop, Leif C | Barroso, Inês | Langenberg, Claudia | Wareham, Nicholas J | O’Callaghan, Christopher A | Gloyn, Anna L | Altshuler, David | Boehnke, Michael | Teslovich, Tanya M | McCarthy, Mark I | Morris, Andrew P
Nature genetics  2015;47(12):1415-1425.
We performed fine-mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in/near KCNQ1. “Credible sets” of variants most likely to drive each distinct signal mapped predominantly to non-coding sequence, implying that T2D association is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine-mapping implicated rs10830963 as driving T2D association. We confirmed that this T2D-risk allele increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D-risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease.
doi:10.1038/ng.3437
PMCID: PMC4666734  PMID: 26551672
11.  Modulation of insulin degrading enzyme activity and liver cell proliferation 
Cell Cycle  2015;14(14):2293-2300.
Diabetes mellitus type 2 (T2DM), insulin therapy, and hyperinsulinemia are independent risk factors of liver cancer. Recently, the use of a novel inhibitor of insulin degrading enzyme (IDE) was proposed as a new therapeutic strategy in T2DM. However, IDE inhibition might stimulate liver cell proliferation via increased intracellular insulin concentration. The aim of this study was to characterize effects of inhibition of IDE activity in HepG2 hepatoma cells and to analyze liver specific expression of IDE in subjects with T2DM. HepG2 cells were treated with 10 nM insulin for 24 h with or without inhibition of IDE activity using IDE RNAi, and cell transcriptome and proliferation rate were analyzed. Human liver samples (n = 22) were used for the gene expression profiling by microarrays. In HepG2 cells, IDE knockdown changed expression of genes involved in cell cycle and apoptosis pathways. Proliferation rate was lower in IDE knockdown cells than in controls. Microarray analysis revealed the decrease of hepatic IDE expression in subjects with T2DM accompanied by the downregulation of the p53-dependent genes FAS and CCNG2, but not by the upregulation of proliferation markers MKI67, MCM2 and PCNA. Similar results were found in the liver microarray dataset from GEO Profiles database. In conclusion, IDE expression is decreased in liver of subjects with T2DM which is accompanied by the dysregulation of p53 pathway. Prolonged use of IDE inhibitors for T2DM treatment should be carefully tested in animal studies regarding its potential effect on hepatic tumorigenesis.
doi:10.1080/15384101.2015.1046647
PMCID: PMC4613656  PMID: 25945652
hepatocellular carcinoma; insulin-degrading enzyme; non-alcoholic fatty liver disease; proliferation; type 2 diabetes mellitus
12.  Age- and Sex-Specific Causal Effects of Adiposity on Cardiovascular Risk Factors 
Fall, Tove | Hägg, Sara | Ploner, Alexander | Mägi, Reedik | Fischer, Krista | Draisma, Harmen H.M. | Sarin, Antti-Pekka | Benyamin, Beben | Ladenvall, Claes | Åkerlund, Mikael | Kals, Mart | Esko, Tõnu | Nelson, Christopher P. | Kaakinen, Marika | Huikari, Ville | Mangino, Massimo | Meirhaeghe, Aline | Kristiansson, Kati | Nuotio, Marja-Liisa | Kobl, Michael | Grallert, Harald | Dehghan, Abbas | Kuningas, Maris | de Vries, Paul S. | de Bruijn, Renée F.A.G. | Willems, Sara M. | Heikkilä, Kauko | Silventoinen, Karri | Pietiläinen, Kirsi H. | Legry, Vanessa | Giedraitis, Vilmantas | Goumidi, Louisa | Syvänen, Ann-Christine | Strauch, Konstantin | Koenig, Wolfgang | Lichtner, Peter | Herder, Christian | Palotie, Aarno | Menni, Cristina | Uitterlinden, André G. | Kuulasmaa, Kari | Havulinna, Aki S. | Moreno, Luis A. | Gonzalez-Gross, Marcela | Evans, Alun | Tregouet, David-Alexandre | Yarnell, John W.G. | Virtamo, Jarmo | Ferrières, Jean | Veronesi, Giovanni | Perola, Markus | Arveiler, Dominique | Brambilla, Paolo | Lind, Lars | Kaprio, Jaakko | Hofman, Albert | Stricker, Bruno H. | van Duijn, Cornelia M. | Ikram, M. Arfan | Franco, Oscar H. | Cottel, Dominique | Dallongeville, Jean | Hall, Alistair S. | Jula, Antti | Tobin, Martin D. | Penninx, Brenda W. | Peters, Annette | Gieger, Christian | Samani, Nilesh J. | Montgomery, Grant W. | Whitfield, John B. | Martin, Nicholas G. | Groop, Leif | Spector, Tim D. | Magnusson, Patrik K. | Amouyel, Philippe | Boomsma, Dorret I. | Nilsson, Peter M. | Järvelin, Marjo-Riitta | Lyssenko, Valeriya | Metspalu, Andres | Strachan, David P. | Salomaa, Veikko | Ripatti, Samuli | Pedersen, Nancy L. | Prokopenko, Inga | McCarthy, Mark I. | Ingelsson, Erik
Diabetes  2015;64(5):1841-1852.
Observational studies have reported different effects of adiposity on cardiovascular risk factors across age and sex. Since cardiovascular risk factors are enriched in obese individuals, it has not been easy to dissect the effects of adiposity from those of other risk factors. We used a Mendelian randomization approach, applying a set of 32 genetic markers to estimate the causal effect of adiposity on blood pressure, glycemic indices, circulating lipid levels, and markers of inflammation and liver disease in up to 67,553 individuals. All analyses were stratified by age (cutoff 55 years of age) and sex. The genetic score was associated with BMI in both nonstratified analysis (P = 2.8 × 10−107) and stratified analyses (all P < 3.3 × 10−30). We found evidence of a causal effect of adiposity on blood pressure, fasting levels of insulin, C-reactive protein, interleukin-6, HDL cholesterol, and triglycerides in a nonstratified analysis and in the <55-year stratum. Further, we found evidence of a smaller causal effect on total cholesterol (P for difference = 0.015) in the ≥55-year stratum than in the <55-year stratum, a finding that could be explained by biology, survival bias, or differential medication. In conclusion, this study extends previous knowledge of the effects of adiposity by providing sex- and age-specific causal estimates on cardiovascular risk factors.
doi:10.2337/db14-0988
PMCID: PMC4407863  PMID: 25712996
13.  Effects of Genetic Loci Associated with Central Obesity on Adipocyte Lipolysis 
PLoS ONE  2016;11(4):e0153990.
Objectives
Numerous genetic loci have been associated with measures of central fat accumulation, such as waist-to-hip ratio adjusted for body mass index (WHRadjBMI). However the mechanisms by which genetic variations influence obesity remain largely elusive. Lipolysis is a key process for regulation of lipid storage in adipocytes, thus is implicated in obesity and its metabolic complications. Here, genetic variants at 36 WHRadjBMI-associated loci were examined for their influence on abdominal subcutaneous adipocyte lipolysis.
Subjects and Methods
Fasting subcutaneous adipose tissue biopsies were collected from 789 volunteers (587 women and 202 men, body mass index (BMI) range 17.7–62.3 kg/m2). We quantified subcutaneous adipocyte lipolysis, both spontaneous and stimulated by the catecholamine isoprenaline or a cyclic AMP analogue. DNA was extracted from peripheral blood mononuclear cells and genotyping of SNPs associated with WHRadjBMI conducted. The effects on adipocyte lipolysis measures were assessed for SNPs individually and combined in a SNP score.
Results
The WHRadjBMI-associated loci CMIP, PLXND1, VEGFA and ZNRF3-KREMEN1 demonstrated nominal associations with spontaneous and/or stimulated lipolysis. Candidate genes in these loci have been reported to influence NFκB-signaling, fat cell size and Wnt signalling, all of which may influence lipolysis.
Significance
This report provides evidence for specific WHRadjBMI-associated loci as candidates to modulate adipocyte lipolysis. Additionally, our data suggests that genetically increased central fat accumulation is unlikely to be a major cause of altered lipolysis in abdominal adipocytes.
doi:10.1371/journal.pone.0153990
PMCID: PMC4841524  PMID: 27104953
14.  Association between DNA Methylation in Whole Blood and Measures of Glucose Metabolism: KORA F4 Study 
PLoS ONE  2016;11(3):e0152314.
Epigenetic regulation has been postulated to affect glucose metabolism, insulin sensitivity and the risk of type 2 diabetes. Therefore, we performed an epigenome-wide association study for measures of glucose metabolism in whole blood samples of the population-based Cooperative Health Research in the Region of Augsburg F4 study using the Illumina HumanMethylation 450 BeadChip. We identified a total of 31 CpG sites where methylation level was associated with measures of glucose metabolism after adjustment for age, sex, smoking, and estimated white blood cell proportions and correction for multiple testing using the Benjamini-Hochberg (B-H) method (four for fasting glucose, seven for fasting insulin, 25 for homeostasis model assessment-insulin resistance [HOMA-IR]; B-H-adjusted p-values between 9.2x10-5 and 0.047). In addition, DNA methylation at cg06500161 (annotated to ABCG1) was associated with all the aforementioned phenotypes and 2-hour glucose (B-H-adjusted p-values between 9.2x10-5 and 3.0x10-3). Methylation status of additional three CpG sites showed an association with fasting insulin only after additional adjustment for body mass index (BMI) (B-H-adjusted p-values = 0.047). Overall, effect strengths were reduced by around 30% after additional adjustment for BMI, suggesting that this variable has an influence on the investigated phenotypes. Furthermore, we found significant associations between methylation status of 21 of the aforementioned CpG sites and 2-hour insulin in a subset of samples with seven significant associations persisting after additional adjustment for BMI. In a subset of 533 participants, methylation of the CpG site cg06500161 (ABCG1) was inversely associated with ABCG1 gene expression (B-H-adjusted p-value = 1.5x10-9). Additionally, we observed an enrichment of the top 1,000 CpG sites for diabetes-related canonical pathways using Ingenuity Pathway Analysis. In conclusion, our study indicates that DNA methylation and diabetes-related traits are associated and that these associations are partially BMI-dependent. Furthermore, the interaction of ABCG1 with glucose metabolism is modulated by epigenetic processes.
doi:10.1371/journal.pone.0152314
PMCID: PMC4809492  PMID: 27019061
15.  An omics investigation into chronic widespread musculoskeletal pain reveals epiandrosterone sulfate as a potential biomarker 
Pain  2015;156(10):1845-1851.
An “omics” investigation of chronic widespread pain in 2 population samples reveals a genetic variant in CYP3A5 as underlying steroid hormone abnormalities seen in CWP.
Abstract
Chronic widespread musculoskeletal pain (CWP) is common, having a population prevalence of 10%. This study aimed to define the biological basis of the CWP/body mass association by using a systems biology approach. Adult female twins (n = 2444) from the TwinsUK registry who had extensive clinical, anthropometric, and “omic” data were included. Nontargeted metabolomics screening including 324 metabolites was carried out for CWP and body composition using dual-energy X-ray absorptiometry. The biological basis of these associations was explored through a genome-wide association study and replicated in an independent population sample (Cooperative Health Research in the Region of Augsburg [KORA] study, n = 2483). A causal role for the genetic variants identified was sought in CWP using a Mendelian randomisation study design. Fat mass/height2 was the body composition variable most strongly associated with CWP (TwinsUK: P = 2.4 × 10−15 and KORA: P = 1.59 × 10−10). Of 324 metabolites examined, epiandrosterone sulfate (EAS) was highly associated with both CWP (P = 1.05 × 10−09 in TwinsUK and P = 3.70 × 10−06 in KORA) and fat mass/height2. Genome-wide association study of EAS identified imputed single nucleotide polymorphism rs1581492 at 7q22.1 to be strikingly associated with EAS levels (P ≤ 2.49 × 10−78), and this result was replicated in KORA (P = 2.12 × 10−9). Mendelian randomization by rs1581492 genotype showed that EAS is unlikely to be causally related to CWP. Using an agnostic omics approach to focus on the association of CWP with body mass index, we have confirmed a steroid hormone association and identified a genetic variant upstream of the CYP genes, which likely controls this response. This study suggests that steroid hormone abnormalities result from pain rather than causing it, and EAS may provide a biomarker that identifies subgroups at risk of CWP.
doi:10.1097/j.pain.0000000000000200
PMCID: PMC4770329  PMID: 25915148
Chronic pain; Gene; Metabolome; Biomarker; Genome-wide association
16.  The impact of low-frequency and rare variants on lipid levels 
Surakka, Ida | Horikoshi, Momoko | Mägi, Reedik | Sarin, Antti-Pekka | Mahajan, Anubha | Lagou, Vasiliki | Marullo, Letizia | Ferreira, Teresa | Miraglio, Benjamin | Timonen, Sanna | Kettunen, Johannes | Pirinen, Matti | Karjalainen, Juha | Thorleifsson, Gudmar | Hägg, Sara | Hottenga, Jouke-Jan | Isaacs, Aaron | Ladenvall, Claes | Beekman, Marian | Esko, Tõnu | Ried, Janina S | Nelson, Christopher P | Willenborg, Christina | Gustafsson, Stefan | Westra, Harm-Jan | Blades, Matthew | de Craen, Anton JM | de Geus, Eco J | Deelen, Joris | Grallert, Harald | Hamsten, Anders | Havulinna, Aki S. | Hengstenberg, Christian | Houwing-Duistermaat, Jeanine J | Hyppönen, Elina | Karssen, Lennart C | Lehtimäki, Terho | Lyssenko, Valeriya | Magnusson, Patrik KE | Mihailov, Evelin | Müller-Nurasyid, Martina | Mpindi, John-Patrick | Pedersen, Nancy L | Penninx, Brenda WJH | Perola, Markus | Pers, Tune H | Peters, Annette | Rung, Johan | Smit, Johannes H | Steinthorsdottir, Valgerdur | Tobin, Martin D | Tsernikova, Natalia | van Leeuwen, Elisabeth M | Viikari, Jorma S | Willems, Sara M | Willemsen, Gonneke | Schunkert, Heribert | Erdmann, Jeanette | Samani, Nilesh J | Kaprio, Jaakko | Lind, Lars | Gieger, Christian | Metspalu, Andres | Slagboom, P Eline | Groop, Leif | van Duijn, Cornelia M | Eriksson, Johan G | Jula, Antti | Salomaa, Veikko | Boomsma, Dorret I | Power, Christine | Raitakari, Olli T | Ingelsson, Erik | Järvelin, Marjo-Riitta | Stefansson, Kari | Franke, Lude | Ikonen, Elina | Kallioniemi, Olli | Pietiäinen, Vilja | Lindgren, Cecilia M | Thorsteinsdottir, Unnur | Palotie, Aarno | McCarthy, Mark I | Morris, Andrew P | Prokopenko, Inga | Ripatti, Samuli
Nature genetics  2015;47(6):589-597.
Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes imputation in 62,166 samples, we identify association to lipids in 93 loci including 79 previously identified loci with new lead-SNPs, 10 new loci, 15 loci with a low-frequency and 10 loci with missense lead-SNPs, and, 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC, and APOE), or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2), explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for LDL-C and TC. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to re-sequencing.
doi:10.1038/ng.3300
PMCID: PMC4757735  PMID: 25961943
17.  Analysis of Genes Involved in Body Weight Regulation by Targeted Re-Sequencing 
PLoS ONE  2016;11(2):e0147904.
Introduction
Genes involved in body weight regulation that were previously investigated in genome-wide association studies (GWAS) and in animal models were target-enriched followed by massive parallel next generation sequencing.
Methods
We enriched and re-sequenced continuous genomic regions comprising FTO, MC4R, TMEM18, SDCCAG8, TKNS, MSRA and TBC1D1 in a screening sample of 196 extremely obese children and adolescents with age and sex specific body mass index (BMI) ≥ 99th percentile and 176 lean adults (BMI ≤ 15th percentile). 22 variants were confirmed by Sanger sequencing. Genotyping was performed in up to 705 independent obesity trios (extremely obese child and both parents), 243 extremely obese cases and 261 lean adults.
Results and Conclusion
We detected 20 different non-synonymous variants, one frame shift and one nonsense mutation in the 7 continuous genomic regions in study groups of different weight extremes. For SNP Arg695Cys (rs58983546) in TBC1D1 we detected nominal association with obesity (pTDT = 0.03 in 705 trios). Eleven of the variants were rare, thus were only detected heterozygously in up to ten individual(s) of the complete screening sample of 372 individuals. Two of them (in FTO and MSRA) were found in lean individuals, nine in extremely obese. In silico analyses of the 11 variants did not reveal functional implications for the mutations. Concordant with our hypothesis we detected a rare variant that potentially leads to loss of FTO function in a lean individual. For TBC1D1, in contrary to our hypothesis, the loss of function variant (Arg443Stop) was found in an obese individual. Functional in vitro studies are warranted.
doi:10.1371/journal.pone.0147904
PMCID: PMC4734691  PMID: 26828654
18.  Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels 
Kilpeläinen, Tuomas O. | Carli, Jayne F. Martin | Skowronski, Alicja A. | Sun, Qi | Kriebel, Jennifer | Feitosa, Mary F | Hedman, Åsa K. | Drong, Alexander W. | Hayes, James E. | Zhao, Jinghua | Pers, Tune H. | Schick, Ursula | Grarup, Niels | Kutalik, Zoltán | Trompet, Stella | Mangino, Massimo | Kristiansson, Kati | Beekman, Marian | Lyytikäinen, Leo-Pekka | Eriksson, Joel | Henneman, Peter | Lahti, Jari | Tanaka, Toshiko | Luan, Jian'an | Greco M, Fabiola Del | Pasko, Dorota | Renström, Frida | Willems, Sara M. | Mahajan, Anubha | Rose, Lynda M. | Guo, Xiuqing | Liu, Yongmei | Kleber, Marcus E. | Pérusse, Louis | Gaunt, Tom | Ahluwalia, Tarunveer S. | Ju Sung, Yun | Ramos, Yolande F. | Amin, Najaf | Amuzu, Antoinette | Barroso, Inês | Bellis, Claire | Blangero, John | Buckley, Brendan M. | Böhringer, Stefan | I Chen, Yii-Der | de Craen, Anton J. N. | Crosslin, David R. | Dale, Caroline E. | Dastani, Zari | Day, Felix R. | Deelen, Joris | Delgado, Graciela E. | Demirkan, Ayse | Finucane, Francis M. | Ford, Ian | Garcia, Melissa E. | Gieger, Christian | Gustafsson, Stefan | Hallmans, Göran | Hankinson, Susan E. | Havulinna, Aki S | Herder, Christian | Hernandez, Dena | Hicks, Andrew A. | Hunter, David J. | Illig, Thomas | Ingelsson, Erik | Ioan-Facsinay, Andreea | Jansson, John-Olov | Jenny, Nancy S. | Jørgensen, Marit E. | Jørgensen, Torben | Karlsson, Magnus | Koenig, Wolfgang | Kraft, Peter | Kwekkeboom, Joanneke | Laatikainen, Tiina | Ladwig, Karl-Heinz | LeDuc, Charles A. | Lowe, Gordon | Lu, Yingchang | Marques-Vidal, Pedro | Meisinger, Christa | Menni, Cristina | Morris, Andrew P. | Myers, Richard H. | Männistö, Satu | Nalls, Mike A. | Paternoster, Lavinia | Peters, Annette | Pradhan, Aruna D. | Rankinen, Tuomo | Rasmussen-Torvik, Laura J. | Rathmann, Wolfgang | Rice, Treva K. | Brent Richards, J | Ridker, Paul M. | Sattar, Naveed | Savage, David B. | Söderberg, Stefan | Timpson, Nicholas J. | Vandenput, Liesbeth | van Heemst, Diana | Uh, Hae-Won | Vohl, Marie-Claude | Walker, Mark | Wichmann, Heinz-Erich | Widén, Elisabeth | Wood, Andrew R. | Yao, Jie | Zeller, Tanja | Zhang, Yiying | Meulenbelt, Ingrid | Kloppenburg, Margreet | Astrup, Arne | Sørensen, Thorkild I. A. | Sarzynski, Mark A. | Rao, D. C. | Jousilahti, Pekka | Vartiainen, Erkki | Hofman, Albert | Rivadeneira, Fernando | Uitterlinden, André G. | Kajantie, Eero | Osmond, Clive | Palotie, Aarno | Eriksson, Johan G. | Heliövaara, Markku | Knekt, Paul B. | Koskinen, Seppo | Jula, Antti | Perola, Markus | Huupponen, Risto K. | Viikari, Jorma S. | Kähönen, Mika | Lehtimäki, Terho | Raitakari, Olli T. | Mellström, Dan | Lorentzon, Mattias | Casas, Juan P. | Bandinelli, Stefanie | März, Winfried | Isaacs, Aaron | van Dijk, Ko W. | van Duijn, Cornelia M. | Harris, Tamara B. | Bouchard, Claude | Allison, Matthew A. | Chasman, Daniel I. | Ohlsson, Claes | Lind, Lars | Scott, Robert A. | Langenberg, Claudia | Wareham, Nicholas J. | Ferrucci, Luigi | Frayling, Timothy M. | Pramstaller, Peter P. | Borecki, Ingrid B. | Waterworth, Dawn M. | Bergmann, Sven | Waeber, Gérard | Vollenweider, Peter | Vestergaard, Henrik | Hansen, Torben | Pedersen, Oluf | Hu, Frank B. | Eline Slagboom, P | Grallert, Harald | Spector, Tim D. | Jukema, J.W. | Klein, Robert J. | Schadt, Erik E | Franks, Paul W. | Lindgren, Cecilia M. | Leibel, Rudolph L. | Loos, Ruth J. F.
Nature Communications  2016;7:10494.
Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P<10−6 in 19,979 additional individuals. We identify five loci robustly associated (P<5 × 10−8) with leptin levels in/near LEP, SLC32A1, GCKR, CCNL1 and FTO. Although the association of the FTO obesity locus with leptin levels is abolished by adjustment for BMI, associations of the four other loci are independent of adiposity. The GCKR locus was found associated with multiple metabolic traits in previous GWAS and the CCNL1 locus with birth weight. Knockdown experiments in mouse adipose tissue explants show convincing evidence for adipogenin, a regulator of adipocyte differentiation, as the novel causal gene in the SLC32A1 locus influencing leptin levels. Our findings provide novel insights into the regulation of leptin production by adipose tissue and open new avenues for examining the influence of variation in leptin levels on adiposity and metabolic health.
This meta-analysis of genome-wide association studies identifies four genetic loci associated with circulating leptin levels independent of adiposity. Examination in mouse adipose tissue explants provides functional support for the leptin-associated loci.
doi:10.1038/ncomms10494
PMCID: PMC4740377  PMID: 26833098
19.  New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk 
Lu, Yingchang | Day, Felix R. | Gustafsson, Stefan | Buchkovich, Martin L. | Na, Jianbo | Bataille, Veronique | Cousminer, Diana L. | Dastani, Zari | Drong, Alexander W. | Esko, Tõnu | Evans, David M. | Falchi, Mario | Feitosa, Mary F. | Ferreira, Teresa | Hedman, Åsa K. | Haring, Robin | Hysi, Pirro G. | Iles, Mark M. | Justice, Anne E. | Kanoni, Stavroula | Lagou, Vasiliki | Li, Rui | Li, Xin | Locke, Adam | Lu, Chen | Mägi, Reedik | Perry, John R. B. | Pers, Tune H. | Qi, Qibin | Sanna, Marianna | Schmidt, Ellen M. | Scott, William R. | Shungin, Dmitry | Teumer, Alexander | Vinkhuyzen, Anna A. E. | Walker, Ryan W. | Westra, Harm-Jan | Zhang, Mingfeng | Zhang, Weihua | Zhao, Jing Hua | Zhu, Zhihong | Afzal, Uzma | Ahluwalia, Tarunveer Singh | Bakker, Stephan J. L. | Bellis, Claire | Bonnefond, Amélie | Borodulin, Katja | Buchman, Aron S. | Cederholm, Tommy | Choh, Audrey C. | Choi, Hyung Jin | Curran, Joanne E. | de Groot, Lisette C. P. G. M. | De Jager, Philip L. | Dhonukshe-Rutten, Rosalie A. M. | Enneman, Anke W. | Eury, Elodie | Evans, Daniel S. | Forsen, Tom | Friedrich, Nele | Fumeron, Frédéric | Garcia, Melissa E. | Gärtner, Simone | Han, Bok-Ghee | Havulinna, Aki S. | Hayward, Caroline | Hernandez, Dena | Hillege, Hans | Ittermann, Till | Kent, Jack W. | Kolcic, Ivana | Laatikainen, Tiina | Lahti, Jari | Leach, Irene Mateo | Lee, Christine G. | Lee, Jong-Young | Liu, Tian | Liu, Youfang | Lobbens, Stéphane | Loh, Marie | Lyytikäinen, Leo-Pekka | Medina-Gomez, Carolina | Michaëlsson, Karl | Nalls, Mike A. | Nielson, Carrie M. | Oozageer, Laticia | Pascoe, Laura | Paternoster, Lavinia | Polašek, Ozren | Ripatti, Samuli | Sarzynski, Mark A. | Shin, Chan Soo | Narančić, Nina Smolej | Spira, Dominik | Srikanth, Priya | Steinhagen-Thiessen, Elisabeth | Sung, Yun Ju | Swart, Karin M. A. | Taittonen, Leena | Tanaka, Toshiko | Tikkanen, Emmi | van der Velde, Nathalie | van Schoor, Natasja M. | Verweij, Niek | Wright, Alan F. | Yu, Lei | Zmuda, Joseph M. | Eklund, Niina | Forrester, Terrence | Grarup, Niels | Jackson, Anne U. | Kristiansson, Kati | Kuulasmaa, Teemu | Kuusisto, Johanna | Lichtner, Peter | Luan, Jian'an | Mahajan, Anubha | Männistö, Satu | Palmer, Cameron D. | Ried, Janina S. | Scott, Robert A. | Stancáková, Alena | Wagner, Peter J. | Demirkan, Ayse | Döring, Angela | Gudnason, Vilmundur | Kiel, Douglas P. | Kühnel, Brigitte | Mangino, Massimo | Mcknight, Barbara | Menni, Cristina | O'Connell, Jeffrey R. | Oostra, Ben A. | Shuldiner, Alan R. | Song, Kijoung | Vandenput, Liesbeth | van Duijn, Cornelia M. | Vollenweider, Peter | White, Charles C. | Boehnke, Michael | Boettcher, Yvonne | Cooper, Richard S. | Forouhi, Nita G. | Gieger, Christian | Grallert, Harald | Hingorani, Aroon | Jørgensen, Torben | Jousilahti, Pekka | Kivimaki, Mika | Kumari, Meena | Laakso, Markku | Langenberg, Claudia | Linneberg, Allan | Luke, Amy | Mckenzie, Colin A. | Palotie, Aarno | Pedersen, Oluf | Peters, Annette | Strauch, Konstantin | Tayo, Bamidele O. | Wareham, Nicholas J. | Bennett, David A. | Bertram, Lars | Blangero, John | Blüher, Matthias | Bouchard, Claude | Campbell, Harry | Cho, Nam H. | Cummings, Steven R. | Czerwinski, Stefan A. | Demuth, Ilja | Eckardt, Rahel | Eriksson, Johan G. | Ferrucci, Luigi | Franco, Oscar H. | Froguel, Philippe | Gansevoort, Ron T. | Hansen, Torben | Harris, Tamara B. | Hastie, Nicholas | Heliövaara, Markku | Hofman, Albert | Jordan, Joanne M. | Jula, Antti | Kähönen, Mika | Kajantie, Eero | Knekt, Paul B. | Koskinen, Seppo | Kovacs, Peter | Lehtimäki, Terho | Lind, Lars | Liu, Yongmei | Orwoll, Eric S. | Osmond, Clive | Perola, Markus | Pérusse, Louis | Raitakari, Olli T. | Rankinen, Tuomo | Rao, D. C. | Rice, Treva K. | Rivadeneira, Fernando | Rudan, Igor | Salomaa, Veikko | Sørensen, Thorkild I. A. | Stumvoll, Michael | Tönjes, Anke | Towne, Bradford | Tranah, Gregory J. | Tremblay, Angelo | Uitterlinden, André G. | van der Harst, Pim | Vartiainen, Erkki | Viikari, Jorma S. | Vitart, Veronique | Vohl, Marie-Claude | Völzke, Henry | Walker, Mark | Wallaschofski, Henri | Wild, Sarah | Wilson, James F. | Yengo, Loïc | Bishop, D. Timothy | Borecki, Ingrid B. | Chambers, John C. | Cupples, L. Adrienne | Dehghan, Abbas | Deloukas, Panos | Fatemifar, Ghazaleh | Fox, Caroline | Furey, Terrence S. | Franke, Lude | Han, Jiali | Hunter, David J. | Karjalainen, Juha | Karpe, Fredrik | Kaplan, Robert C. | Kooner, Jaspal S. | McCarthy, Mark I. | Murabito, Joanne M. | Morris, Andrew P. | Bishop, Julia A. N. | North, Kari E. | Ohlsson, Claes | Ong, Ken K. | Prokopenko, Inga | Richards, J. Brent | Schadt, Eric E. | Spector, Tim D. | Widén, Elisabeth | Willer, Cristen J. | Yang, Jian | Ingelsson, Erik | Mohlke, Karen L. | Hirschhorn, Joel N. | Pospisilik, John Andrew | Zillikens, M. Carola | Lindgren, Cecilia | Kilpeläinen, Tuomas Oskari | Loos, Ruth J. F.
Nature Communications  2016;7:10495.
To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P<5 × 10−8), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk.
A genome-wide association meta-analysis study here shows novel genetic loci to be associated to body fat percentage, and describes cross-phenotype association that further demonstrate a close relationship between adiposity and cardiovascular disease risk.
doi:10.1038/ncomms10495
PMCID: PMC4740398  PMID: 26833246
20.  Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study 
Summary
Background
Indian Asians, who make up a quarter of the world’s population, are at high risk of developing type 2 diabetes. We investigated whether DNA methylation is associated with future type 2 diabetes incidence in Indian Asians and whether differences in methylation patterns between Indian Asians and Europeans are associated with, and could be used to predict, differences in the magnitude of risk of developing type 2 diabetes.
Methods
We did a nested case-control study of DNA methylation in Indian Asians and Europeans with incident type 2 diabetes who were identified from the 8-year follow-up of 25 372 participants in the London Life Sciences Prospective Population (LOLIPOP) study. Patients were recruited between May 1, 2002, and Sept 12, 2008. We did epigenome-wide association analysis using samples from Indian Asians with incident type 2 diabetes and age-matched and sex-matched Indian Asian controls, followed by replication testing of top-ranking signals in Europeans. For both discovery and replication, DNA methylation was measured in the baseline blood sample, which was collected before the onset of type 2 diabetes. Epigenome-wide significance was set at p<1 × 10−7. We compared methylation levels between Indian Asian and European controls without type 2 diabetes at baseline to estimate the potential contribution of DNA methylation to increased risk of future type 2 diabetes incidence among Indian Asians.
Findings
1608 (11·9%) of 13 535 Indian Asians and 306 (4·3%) of 7066 Europeans developed type 2 diabetes over a mean of 8·5 years (SD 1·8) of follow-up. The age-adjusted and sex-adjusted incidence of type 2 diabetes was 3·1 times (95% CI 2·8–3·6; p<0·0001) higher among Indian Asians than among Europeans, and remained 2·5 times (2·1–2·9; p<0·0001) higher after adjustment for adiposity, physical activity, family history of type 2 diabetes, and baseline glycaemic measures. The mean absolute difference in methylation level between type 2 diabetes cases and controls ranged from 0·5% (SD 0·1) to 1·1% (0·2). Methylation markers at five loci were associated with future type 2 diabetes incidence; the relative risk per 1% increase in methylation was 1·09 (95% CI 1·07–1·11; p=1·3 × 10−17) for ABCG1, 0·94 (0·92–0·95; p=4·2 × 10−11) for PHOSPHO1, 0·94 (0·92–0·96; p=1·4 × 10−9) for SOCS3, 1·07 (1·04–1·09; p=2·1 × 10−10) for SREBF1, and 0·92 (0·90–0·94; p=1·2 × 10−17) for TXNIP. A methylation score combining results for the five loci was associated with future type 2 diabetes incidence (relative risk quartile 4 vs quartile 1 3·51, 95% CI 2·79–4·42; p=1·3 × 10−26), and was independent of established risk factors. Methylation score was higher among Indian Asians than Europeans (p=1 × 10−34).
Interpretation
DNA methylation might provide new insights into the pathways underlying type 2 diabetes and offer new opportunities for risk stratification and prevention of type 2 diabetes among Indian Asians.
Funding
The European Union, the UK National Institute for Health Research, the Wellcome Trust, the UK Medical Research Council, Action on Hearing Loss, the UK Biotechnology and Biological Sciences Research Council, the Oak Foundation, the Economic and Social Research Council, Helmholtz Zentrum Munchen, the German Research Center for Environmental Health, the German Federal Ministry of Education and Research, the German Center for Diabetes Research, the Munich Center for Health Sciences, the Ministry of Science and Research of the State of North Rhine-Westphalia, and the German Federal Ministry of Health.
doi:10.1016/S2213-8587(15)00127-8
PMCID: PMC4724884  PMID: 26095709
21.  Association of common variants identified by recent genome-wide association studies with obesity in Chinese children: a case-control study 
BMC Medical Genetics  2016;17:7.
Background
Large-scale genome-wide association studies have identified multiple genetic variants that are associated with elevated body mass index (BMI) or the risk of obesity in Caucasian or Asian populations. We examined whether these variants are individually associated with obesity in Chinese children, and also assessed their cumulative effects and predictive value for obesity risk in Chinese children.
Methods
We genotyped 40 single nucleotide polymorphisms (SNPs) and conducted association analyses for 32/40 SNPs with an estimated minor allele frequency >1 % in 2 030 unrelated Chinese children, including 607 normal-weight, 718 overweight, and 705 obese individuals from two cross-sectional study groups. Logistic regression and linear regression under the additive model were used to examine associations, and the area under the receiver operating characteristic curve (AUCROC) was reported as prediction summary.
Results
We identified obesity association for 6 SNPs near SEC16B, RBJ, CDKAL1, TFAP2B, MAP2K5 and FTO (odds ratios (ORs) ranged from 1.19 to 1.41, nominal two-sided P-values < 0.05). Association (Bonferroni corrected) of rs543874 near SEC16B and rs2241423 near MAP2K5 had presumably stronger effects on obesity in Chinese children than in Caucasian populations. Their risk alleles were also associated with BMI standard deviation score (BMI-SDS) variability. We demonstrated the cumulative effects of the 32 SNPs on obesity risk (per risk allele: OR = 1.06, 95 % CI: 1.03-1.11, P = 4.84 × 10-4) and BMI-SDS (β = 0.04, 95 % CI: 0.02-0.06, P = 3.69 × 10-7). The difference in AUCROC for a model with covariates (age, age square, sex and study group) and the model including covariates and all 32 SNPs was 2.8 % (P = 0.0002).
Conclusion
While six SNPs were individually associated with obesity in Chinese children, the 32 common variants identified by recent GWA studies had cumulative effects and resulted in a limited increase in the AUCROC predictive value for childhood obesity.
Electronic supplementary material
The online version of this article (doi:10.1186/s12881-016-0268-4) contains supplementary material, which is available to authorized users.
doi:10.1186/s12881-016-0268-4
PMCID: PMC4724138  PMID: 26800887
Obesity; BMI; Gene; Variant; Children
22.  Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function 
Pattaro, Cristian | Teumer, Alexander | Gorski, Mathias | Chu, Audrey Y. | Li, Man | Mijatovic, Vladan | Garnaas, Maija | Tin, Adrienne | Sorice, Rossella | Li, Yong | Taliun, Daniel | Olden, Matthias | Foster, Meredith | Yang, Qiong | Chen, Ming-Huei | Pers, Tune H. | Johnson, Andrew D. | Ko, Yi-An | Fuchsberger, Christian | Tayo, Bamidele | Nalls, Michael | Feitosa, Mary F. | Isaacs, Aaron | Dehghan, Abbas | d'Adamo, Pio | Adeyemo, Adebowale | Dieffenbach, Aida Karina | Zonderman, Alan B. | Nolte, Ilja M. | van der Most, Peter J. | Wright, Alan F. | Shuldiner, Alan R. | Morrison, Alanna C. | Hofman, Albert | Smith, Albert V. | Dreisbach, Albert W. | Franke, Andre | Uitterlinden, Andre G. | Metspalu, Andres | Tonjes, Anke | Lupo, Antonio | Robino, Antonietta | Johansson, Åsa | Demirkan, Ayse | Kollerits, Barbara | Freedman, Barry I. | Ponte, Belen | Oostra, Ben A. | Paulweber, Bernhard | Krämer, Bernhard K. | Mitchell, Braxton D. | Buckley, Brendan M. | Peralta, Carmen A. | Hayward, Caroline | Helmer, Catherine | Rotimi, Charles N. | Shaffer, Christian M. | Müller, Christian | Sala, Cinzia | van Duijn, Cornelia M. | Saint-Pierre, Aude | Ackermann, Daniel | Shriner, Daniel | Ruggiero, Daniela | Toniolo, Daniela | Lu, Yingchang | Cusi, Daniele | Czamara, Darina | Ellinghaus, David | Siscovick, David S. | Ruderfer, Douglas | Gieger, Christian | Grallert, Harald | Rochtchina, Elena | Atkinson, Elizabeth J. | Holliday, Elizabeth G. | Boerwinkle, Eric | Salvi, Erika | Bottinger, Erwin P. | Murgia, Federico | Rivadeneira, Fernando | Ernst, Florian | Kronenberg, Florian | Hu, Frank B. | Navis, Gerjan J. | Curhan, Gary C. | Ehret, George B. | Homuth, Georg | Coassin, Stefan | Thun, Gian-Andri | Pistis, Giorgio | Gambaro, Giovanni | Malerba, Giovanni | Montgomery, Grant W. | Eiriksdottir, Gudny | Jacobs, Gunnar | Li, Guo | Wichmann, H-Erich | Campbell, Harry | Schmidt, Helena | Wallaschofski, Henri | Völzke, Henry | Brenner, Hermann | Kroemer, Heyo K. | Kramer, Holly | Lin, Honghuang | Leach, I. Mateo | Ford, Ian | Guessous, Idris | Rudan, Igor | Prokopenko, Inga | Borecki, Ingrid | Heid, Iris M. | Kolcic, Ivana | Persico, Ivana | Jukema, J. Wouter | Wilson, James F. | Felix, Janine F. | Divers, Jasmin | Lambert, Jean-Charles | Stafford, Jeanette M. | Gaspoz, Jean-Michel | Smith, Jennifer A. | Faul, Jessica D. | Wang, Jie Jin | Ding, Jingzhong | Hirschhorn, Joel N. | Attia, John | Whitfield, John B. | Chalmers, John | Viikari, Jorma | Coresh, Josef | Denny, Joshua C. | Karjalainen, Juha | Fernandes, Jyotika K. | Endlich, Karlhans | Butterbach, Katja | Keene, Keith L. | Lohman, Kurt | Portas, Laura | Launer, Lenore J. | Lyytikäinen, Leo-Pekka | Yengo, Loic | Franke, Lude | Ferrucci, Luigi | Rose, Lynda M. | Kedenko, Lyudmyla | Rao, Madhumathi | Struchalin, Maksim | Kleber, Marcus E. | Cavalieri, Margherita | Haun, Margot | Cornelis, Marilyn C. | Ciullo, Marina | Pirastu, Mario | de Andrade, Mariza | McEvoy, Mark A. | Woodward, Mark | Adam, Martin | Cocca, Massimiliano | Nauck, Matthias | Imboden, Medea | Waldenberger, Melanie | Pruijm, Menno | Metzger, Marie | Stumvoll, Michael | Evans, Michele K. | Sale, Michele M. | Kähönen, Mika | Boban, Mladen | Bochud, Murielle | Rheinberger, Myriam | Verweij, Niek | Bouatia-Naji, Nabila | Martin, Nicholas G. | Hastie, Nick | Probst-Hensch, Nicole | Soranzo, Nicole | Devuyst, Olivier | Raitakari, Olli | Gottesman, Omri | Franco, Oscar H. | Polasek, Ozren | Gasparini, Paolo | Munroe, Patricia B. | Ridker, Paul M. | Mitchell, Paul | Muntner, Paul | Meisinger, Christa | Smit, Johannes H. | Kovacs, Peter | Wild, Philipp S. | Froguel, Philippe | Rettig, Rainer | Mägi, Reedik | Biffar, Reiner | Schmidt, Reinhold | Middelberg, Rita P. S. | Carroll, Robert J. | Penninx, Brenda W. | Scott, Rodney J. | Katz, Ronit | Sedaghat, Sanaz | Wild, Sarah H. | Kardia, Sharon L. R. | Ulivi, Sheila | Hwang, Shih-Jen | Enroth, Stefan | Kloiber, Stefan | Trompet, Stella | Stengel, Benedicte | Hancock, Stephen J. | Turner, Stephen T. | Rosas, Sylvia E. | Stracke, Sylvia | Harris, Tamara B. | Zeller, Tanja | Zemunik, Tatijana | Lehtimäki, Terho | Illig, Thomas | Aspelund, Thor | Nikopensius, Tiit | Esko, Tonu | Tanaka, Toshiko | Gyllensten, Ulf | Völker, Uwe | Emilsson, Valur | Vitart, Veronique | Aalto, Ville | Gudnason, Vilmundur | Chouraki, Vincent | Chen, Wei-Min | Igl, Wilmar | März, Winfried | Koenig, Wolfgang | Lieb, Wolfgang | Loos, Ruth J. F. | Liu, Yongmei | Snieder, Harold | Pramstaller, Peter P. | Parsa, Afshin | O'Connell, Jeffrey R. | Susztak, Katalin | Hamet, Pavel | Tremblay, Johanne | de Boer, Ian H. | Böger, Carsten A. | Goessling, Wolfram | Chasman, Daniel I. | Köttgen, Anna | Kao, W. H. Linda | Fox, Caroline S.
Nature Communications  2016;7:10023.
Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.
doi:10.1038/ncomms10023
PMCID: PMC4735748  PMID: 26831199
23.  Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation 
Artigas, María Soler | Wain, Louise V. | Miller, Suzanne | Kheirallah, Abdul Kader | Huffman, Jennifer E. | Ntalla, Ioanna | Shrine, Nick | Obeidat, Ma'en | Trochet, Holly | McArdle, Wendy L. | Alves, Alexessander Couto | Hui, Jennie | Zhao, Jing Hua | Joshi, Peter K. | Teumer, Alexander | Albrecht, Eva | Imboden, Medea | Rawal, Rajesh | Lopez, Lorna M. | Marten, Jonathan | Enroth, Stefan | Surakka, Ida | Polasek, Ozren | Lyytikäinen, Leo-Pekka | Granell, Raquel | Hysi, Pirro G. | Flexeder, Claudia | Mahajan, Anubha | Beilby, John | Bossé, Yohan | Brandsma, Corry-Anke | Campbell, Harry | Gieger, Christian | Gläser, Sven | González, Juan R. | Grallert, Harald | Hammond, Chris J. | Harris, Sarah E. | Hartikainen, Anna-Liisa | Heliövaara, Markku | Henderson, John | Hocking, Lynne | Horikoshi, Momoko | Hutri-Kähönen, Nina | Ingelsson, Erik | Johansson, Åsa | Kemp, John P. | Kolcic, Ivana | Kumar, Ashish | Lind, Lars | Melén, Erik | Musk, Arthur W. | Navarro, Pau | Nickle, David C. | Padmanabhan, Sandosh | Raitakari, Olli T. | Ried, Janina S. | Ripatti, Samuli | Schulz, Holger | Scott, Robert A. | Sin, Don D. | Starr, John M. | Viñuela, Ana | Völzke, Henry | Wild, Sarah H. | Wright, Alan F. | Zemunik, Tatijana | Jarvis, Deborah L. | Spector, Tim D. | Evans, David M. | Lehtimäki, Terho | Vitart, Veronique | Kähönen, Mika | Gyllensten, Ulf | Rudan, Igor | Deary, Ian J. | Karrasch, Stefan | Probst-Hensch, Nicole M. | Heinrich, Joachim | Stubbe, Beate | Wilson, James F. | Wareham, Nicholas J. | James, Alan L. | Morris, Andrew P. | Jarvelin, Marjo-Riitta | Hayward, Caroline | Sayers, Ian | Strachan, David P. | Hall, Ian P. | Tobin, Martin D.
Nature Communications  2015;6:8658.
Lung function measures are used in the diagnosis of chronic obstructive pulmonary disease. In 38,199 European ancestry individuals, we studied genome-wide association of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC with 1000 Genomes Project (phase 1)-imputed genotypes and followed up top associations in 54,550 Europeans. We identify 14 novel loci (P<5 × 10−8) in or near ENSA, RNU5F-1, KCNS3, AK097794, ASTN2, LHX3, CCDC91, TBX3, TRIP11, RIN3, TEKT5, LTBP4, MN1 and AP1S2, and two novel signals at known loci NPNT and GPR126, providing a basis for new understanding of the genetic determinants of these traits and pulmonary diseases in which they are altered.
Genetic and environmental factors impact on lung function, important in the diagnosis of pulmonary diseases. Here the authors use imputation of genotypes to the 1000 Genomes Project reference panel to identify novel, low frequency variants associated with lung function.
doi:10.1038/ncomms9658
PMCID: PMC4686825  PMID: 26635082
24.  Genetic Determinants of Circulating Interleukin-1 Receptor Antagonist Levels and Their Association With Glycemic Traits 
Diabetes  2014;63(12):4343-4359.
The proinflammatory cytokine interleukin (IL)-1β is implicated in the development of insulin resistance and β-cell dysfunction, whereas higher circulating levels of IL-1 receptor antagonist (IL-1RA), an endogenous inhibitor of IL-1β, has been suggested to improve glycemia and β-cell function in patients with type 2 diabetes. To elucidate the protective role of IL-1RA, this study aimed to identify genetic determinants of circulating IL-1RA concentration and to investigate their associations with immunological and metabolic variables related to cardiometabolic risk. In the analysis of seven discovery and four replication cohort studies, two single nucleotide polymorphisms (SNPs) were independently associated with circulating IL-1RA concentration (rs4251961 at the IL1RN locus [n = 13,955, P = 2.76 × 10−21] and rs6759676, closest gene locus IL1F10 [n = 13,994, P = 1.73 × 10−17]). The proportion of the variance in IL-1RA explained by both SNPs combined was 2.0%. IL-1RA–raising alleles of both SNPs were associated with lower circulating C-reactive protein concentration. The IL-1RA–raising allele of rs6759676 was also associated with lower fasting insulin levels and lower HOMA insulin resistance. In conclusion, we show that circulating IL-1RA levels are predicted by two independent SNPs at the IL1RN and IL1F10 loci and that genetically raised IL-1RA may be protective against the development of insulin resistance.
doi:10.2337/db14-0731
PMCID: PMC4237993  PMID: 24969107
25.  Genome-wide association study of kidney function decline in individuals of European descent 
Gorski, Mathias | Tin, Adrienne | Garnaas, Maija | McMahon, Gearoid M. | Chu, Audrey Y. | Tayo, Bamidele O. | Pattaro, Cristian | Teumer, Alexander | Chasman, Daniel I. | Chalmers, John | Hamet, Pavel | Tremblay, Johanne | Woodward, Marc | Aspelund, Thor | Eiriksdottir, Gudny | Gudnason, Vilmundur | Harris, Tammara B. | Launer, Lenore J. | Smith, Albert V. | Mitchell, Braxton D. | O'Connell, Jeffrey R. | Shuldiner, Alan R. | Coresh, Josef | Li, Man | Freudenberger, Paul | Hofer, Edith | Schmidt, Helena | Schmidt, Reinhold | Holliday, Elizabeth G. | Mitchell, Paul | Wang, Jie Jin | de Boer, Ian H. | Li, Guo | Siscovick, David S. | Kutalik, Zoltan | Corre, Tanguy | Vollenweider, Peter | Waeber, Gérard | Gupta, Jayanta | Kanetsky, Peter A. | Hwang, Shih-Jen | Olden, Matthias | Yang, Qiong | de Andrade, Mariza | Atkinson, Elizabeth J. | Kardia, Sharon L.R. | Turner, Stephen T. | Stafford, Jeanette M. | Ding, Jingzhong | Liu, Yongmei | Barlassina, Cristina | Cusi, Daniele | Salvi, Erika | Staessen, Jan A | Ridker, Paul M | Grallert, Harald | Meisinger, Christa | Müller-Nurasyid, Martina | Krämer, Bernhard K. | Kramer, Holly | Rosas, Sylvia E. | Nolte, Ilja M. | Penninx, Brenda W. | Snieder, Harold | Del Greco, Fabiola | Franke, Andre | Nöthlings, Ute | Lieb, Wolfgang | Bakker, Stephan J.L. | Gansevoort, Ron T. | van der Harst, Pim | Dehghan, Abbas | Franco, Oscar H. | Hofman, Albert | Rivadeneira, Fernando | Sedaghat, Sanaz | Uitterlinden, André G. | Coassin, Stefan | Haun, Margot | Kollerits, Barbara | Kronenberg, Florian | Paulweber, Bernhard | Aumann, Nicole | Endlich, Karlhans | Pietzner, Mike | Völker, Uwe | Rettig, Rainer | Chouraki, Vincent | Helmer, Catherine | Lambert, Jean-Charles | Metzger, Marie | Stengel, Benedicte | Lehtimäki, Terho | Lyytikäinen, Leo-Pekka | Raitakari, Olli | Johnson, Andrew | Parsa, Afshin | Bochud, Murielle | Heid, Iris M. | Goessling, Wolfram | Köttgen, Anna | Kao, H. Linda | Fox, Caroline S. | Böger, Carsten A.
Kidney international  2014;87(5):1017-1029.
Genome wide association studies (GWAS) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, SNPs at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1 and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFRdecline of 3ml/min/1.73m2 or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11 and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 hours after gentamicin treatment compared to controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.
doi:10.1038/ki.2014.361
PMCID: PMC4425568  PMID: 25493955
chronic kidney disease; kidney development

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