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author:("kohnen, Mika")
1.  Integrative pathway genomics of lung function and airflow obstruction 
Human Molecular Genetics  2015;24(23):6836-6848.
Chronic respiratory disorders are important contributors to the global burden of disease. Genome-wide association studies (GWASs) of lung function measures have identified several trait-associated loci, but explain only a modest portion of the phenotypic variability. We postulated that integrating pathway-based methods with GWASs of pulmonary function and airflow obstruction would identify a broader repertoire of genes and processes influencing these traits. We performed two independent GWASs of lung function and applied gene set enrichment analysis to one of the studies and validated the results using the second GWAS. We identified 131 significantly enriched gene sets associated with lung function and clustered them into larger biological modules involved in diverse processes including development, immunity, cell signaling, proliferation and arachidonic acid. We found that enrichment of gene sets was not driven by GWAS-significant variants or loci, but instead by those with less stringent association P-values. Next, we applied pathway enrichment analysis to a meta-analyzed GWAS of airflow obstruction. We identified several biologic modules that functionally overlapped with those associated with pulmonary function. However, differences were also noted, including enrichment of extracellular matrix (ECM) processes specifically in the airflow obstruction study. Network analysis of the ECM module implicated a candidate gene, matrix metalloproteinase 10 (MMP10), as a putative disease target. We used a knockout mouse model to functionally validate MMP10's role in influencing lung's susceptibility to cigarette smoke-induced emphysema. By integrating pathway analysis with population-based genomics, we unraveled biologic processes underlying pulmonary function traits and identified a candidate gene for obstructive lung disease.
doi:10.1093/hmg/ddv378
PMCID: PMC4643644  PMID: 26395457
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.  Genome-wide association study identifies 74 loci associated with educational attainment 
Okbay, Aysu | Beauchamp, Jonathan P. | Fontana, Mark A. | Lee, James J. | Pers, Tune H. | Rietveld, Cornelius A. | Turley, Patrick | Chen, Guo-Bo | Emilsson, Valur | Meddens, S. Fleur W. | Oskarsson, Sven | Pickrell, Joseph K. | Thom, Kevin | Timshel, Pascal | de Vlaming, Ronald | Abdellaoui, Abdel | Ahluwalia, Tarunveer S. | Bacelis, Jonas | Baumbach, Clemens | Bjornsdottir, Gyda | Brandsma, Johannes H. | Concas, Maria Pina | Derringer, Jaime | Furlotte, Nicholas A. | Galesloot, Tessel E. | Girotto, Giorgia | Gupta, Richa | Hall, Leanne M. | Harris, Sarah E. | Hofer, Edith | Horikoshi, Momoko | Huffman, Jennifer E. | Kaasik, Kadri | Kalafati, Ioanna P. | Karlsson, Robert | Kong, Augustine | Lahti, Jari | van der Lee, Sven J. | de Leeuw, Christiaan | Lind, Penelope A. | Lindgren, Karl-Oskar | Liu, Tian | Mangino, Massimo | Marten, Jonathan | Mihailov, Evelin | Miller, Michael B. | van der Most, Peter J. | Oldmeadow, Christopher | Payton, Antony | Pervjakova, Natalia | Peyrot, Wouter J. | Qian, Yong | Raitakari, Olli | Rueedi, Rico | Salvi, Erika | Schmidt, Börge | Schraut, Katharina E. | Shi, Jianxin | Smith, Albert V. | Poot, Raymond A. | Pourcain, Beate | Teumer, Alexander | Thorleifsson, Gudmar | Verweij, Niek | Vuckovic, Dragana | Wellmann, Juergen | Westra, Harm-Jan | Yang, Jingyun | Zhao, Wei | Zhu, Zhihong | Alizadeh, Behrooz Z. | Amin, Najaf | Bakshi, Andrew | Baumeister, Sebastian E. | Biino, Ginevra | Bønnelykke, Klaus | Boyle, Patricia A. | Campbell, Harry | Cappuccio, Francesco P. | Davies, Gail | De Neve, Jan-Emmanuel | Deloukas, Panos | Demuth, Ilja | Ding, Jun | Eibich, Peter | Eisele, Lewin | Eklund, Niina | Evans68, David M. | Faul, Jessica D. | Feitosa, Mary F. | Forstner, Andreas J. | Gandin, Ilaria | Gunnarsson, Bjarni | Halldórsson, Bjarni V. | Harris, Tamara B. | Heath, Andrew C. | Hocking, Lynne J. | Holliday, Elizabeth G. | Homuth, Georg | Horan, Michael A. | Hottenga, Jouke-Jan | de Jager, Philip L. | Joshi, Peter K. | Jugessur, Astanand | Kaakinen, Marika A. | Kähönen, Mika | Kanoni, Stavroula | Keltigangas-Järvinen, Liisa | Kiemeney, Lambertus A.L.M. | Kolcic, Ivana | Koskinen, Seppo | Kraja, Aldi T. | Kroh, Martin | Kutalik, Zoltan | Latvala, Antti | Launer, Lenore J. | Lebreton, Maël P. | Levinson, Douglas F. | Lichtenstein, Paul | Lichtner, Peter | Liewald, David C.M. | Loukola, Anu | Madden, Pamela A. | Mägi, Reedik | Mäki-Opas, Tomi | Marioni, Riccardo E. | Marques-Vidal, Pedro | Meddens, Gerardus A. | McMahon, George | Meisinger, Christa | Meitinger, Thomas | Milaneschi, Yusplitri | Milani, Lili | Montgomery, Grant W. | Myhre, Ronny | Nelson, Christopher P. | Nyholt, Dale R. | Ollier, William E.R. | Palotie, Aarno | Paternoster, Lavinia | Pedersen, Nancy L. | Petrovic, Katja E. | Porteous, David J. | Räikkönen, Katri | Ring, Susan M. | Robino, Antonietta | Rostapshova, Olga | Rudan, Igor | Rustichini, Aldo | Salomaa, Veikko | Sanders, Alan R. | Sarin, Antti-Pekka | Schmidt, Helena | Scott, Rodney J. | Smith, Blair H. | Smith, Jennifer A. | Staessen, Jan A. | Steinhagen-Thiessen, Elisabeth | Strauch, Konstantin | Terracciano, Antonio | Tobin, Martin D. | Ulivi, Sheila | Vaccargiu, Simona | Quaye, Lydia | van Rooij, Frank J.A. | Venturini, Cristina | Vinkhuyzen, Anna A.E. | Völker, Uwe | Völzke, Henry | Vonk, Judith M. | Vozzi, Diego | Waage, Johannes | Ware, Erin B. | Willemsen, Gonneke | Attia, John R. | Bennett, David A. | Berger, Klaus | Bertram, Lars | Bisgaard, Hans | Boomsma, Dorret I. | Borecki, Ingrid B. | Bultmann, Ute | Chabris, Christopher F. | Cucca, Francesco | Cusi, Daniele | Deary, Ian J. | Dedoussis, George V. | van Duijn, Cornelia M. | Eriksson, Johan G. | Franke, Barbara | Franke, Lude | Gasparini, Paolo | Gejman, Pablo V. | Gieger, Christian | Grabe, Hans-Jörgen | Gratten, Jacob | Groenen, Patrick J.F. | Gudnason, Vilmundur | van der Harst, Pim | Hayward, Caroline | Hinds, David A. | Hoffmann, Wolfgang | Hyppönen, Elina | Iacono, William G. | Jacobsson, Bo | Järvelin, Marjo-Riitta | Jöckel, Karl-Heinz | Kaprio, Jaakko | Kardia, Sharon L.R. | Lehtimäki, Terho | Lehrer, Steven F. | Magnusson, Patrik K.E. | Martin, Nicholas G. | McGue, Matt | Metspalu, Andres | Pendleton, Neil | Penninx, Brenda W.J.H. | Perola, Markus | Pirastu, Nicola | Pirastu, Mario | Polasek, Ozren | Posthuma, Danielle | Power, Christine | Province, Michael A. | Samani, Nilesh J. | Schlessinger, David | Schmidt, Reinhold | Sørensen, Thorkild I.A. | Spector, Tim D. | Stefansson, Kari | Thorsteinsdottir, Unnur | Thurik, A. Roy | Timpson, Nicholas J. | Tiemeier, Henning | Tung, Joyce Y. | Uitterlinden, André G. | Vitart, Veronique | Vollenweider, Peter | Weir, David R. | Wilson, James F. | Wright, Alan F. | Conley, Dalton C. | Krueger, Robert F. | Smith, George Davey | Hofman, Albert | Laibson, David I. | Medland, Sarah E. | Meyer, Michelle N. | Yang, Jian | Johannesson, Magnus | Visscher, Peter M. | Esko, Tõnu | Koellinger, Philipp D. | Cesarini, David | Benjamin, Daniel J.
Nature  2016;533(7604):539-542.
Summary
Educational attainment (EA) is strongly influenced by social and other environmental factors, but genetic factors are also estimated to account for at least 20% of the variation across individuals1. We report the results of a genome-wide association study (GWAS) for EA that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication in an independent sample of 111,349 individuals from the UK Biobank. We now identify 74 genome-wide significant loci associated with number of years of schooling completed. Single-nucleotide polymorphisms (SNPs) associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioral phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because EA is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric disease.
doi:10.1038/nature17671
PMCID: PMC4883595  PMID: 27225129
4.  Metabolic signatures of birthweight in 18 288 adolescents and adults 
Background: Lower birthweight is associated with increased susceptibility to cardiometabolic diseases in adulthood, but the underlying molecular pathways are incompletely understood. We examined associations of birthweight with a comprehensive metabolic profile measured in adolescents and adults.
Methods: High-throughput nuclear magnetic resonance metabolomics and biochemical assays were used to quantify 87 circulating metabolic measures in seven cohorts from Finland and the UK, comprising altogether 18 288 individuals (mean age 26 years, range 15–75). Metabolic associations with birthweight were assessed by linear regression models adjusted for sex, gestational age and age at blood sampling. The metabolic associations with birthweight were compared with the corresponding associations with adult body mass index (BMI).
Results: Lower birthweight adjusted for gestational age was adversely associated with cardiometabolic biomarkers, including lipoprotein subclasses, fatty acids, amino acids and markers of inflammation and impaired liver function (P < 0.0015 for 46 measures). Associations were consistent across cohorts with different ages at metabolic profiling, but the magnitudes were weak. The pattern of metabolic deviations associated with lower birthweight resembled the metabolic signature of higher adult BMI (R2 = 0.77) assessed at the same time as the metabolic profiling. The resemblance indicated that 1 kg lower birthweight is associated with similar metabolic aberrations as caused by 0.92 units higher BMI in adulthood.
Conclusions: Lower birthweight adjusted for gestational age is associated with adverse biomarker aberrations across multiple metabolic pathways. Coherent metabolic signatures between lower birthweight and higher adult adiposity suggest that shared molecular pathways may potentially underpin the metabolic deviations. However, the magnitudes of metabolic associations with birthweight are modest in comparison to the effects of adiposity, implying that birthweight is only a weak indicator of the metabolic risk profile in adulthood.
doi:10.1093/ije/dyw255
PMCID: PMC5100627  PMID: 27892411
Fetal programming; metabolic signatures; metabolomics; adiposity; fatty acids; amino acids
5.  Genome-Wide Meta-Analysis of Sciatica in Finnish Population 
PLoS ONE  2016;11(10):e0163877.
Sciatica or the sciatic syndrome is a common and often disabling low back disorder in the working-age population. It has a relatively high heritability but poorly understood molecular mechanisms. The Finnish population is a genetic isolate where small founder population and bottleneck events have led to enrichment of certain rare and low frequency variants. We performed here the first genome-wide association (GWAS) and meta-analysis of sciatica. The meta-analysis was conducted across two GWAS covering 291 Finnish sciatica cases and 3671 controls genotyped and imputed at 7.7 million autosomal variants. The most promising loci (p<1x10-6) were replicated in 776 Finnish sciatica patients and 18,489 controls. We identified five intragenic variants, with relatively low frequencies, at two novel loci associated with sciatica at genome-wide significance. These included chr9:14344410:I (rs71321981) at 9p22.3 (NFIB gene; p = 1.30x10-8, MAF = 0.08) and four variants at 15q21.2: rs145901849, rs80035109, rs190200374 and rs117458827 (MYO5A; p = 1.34x10-8, MAF = 0.06; p = 2.32x10-8, MAF = 0.07; p = 3.85x10-8, MAF = 0.06; p = 4.78x10-8, MAF = 0.07, respectively). The most significant association in the meta-analysis, a single base insertion rs71321981 within the regulatory region of the transcription factor NFIB, replicated in an independent Finnish population sample (p = 0.04). Despite identifying 15q21.2 as a promising locus, we were not able to replicate it. It was differentiated; the lead variants within 15q21.2 were more frequent in Finland (6–7%) than in other European populations (1–2%). Imputation accuracies of the three significantly associated variants (chr9:14344410:I, rs190200374, and rs80035109) were validated by genotyping. In summary, our results suggest a novel locus, 9p22.3 (NFIB), which may be involved in susceptibility to sciatica. In addition, another locus, 15q21.2, emerged as a promising one, but failed to replicate.
doi:10.1371/journal.pone.0163877
PMCID: PMC5072673  PMID: 27764105
6.  No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis 
Loley, Christina | Alver, Maris | Assimes, Themistocles L. | Bjonnes, Andrew | Goel, Anuj | Gustafsson, Stefan | Hernesniemi, Jussi | Hopewell, Jemma C. | Kanoni, Stavroula | Kleber, Marcus E. | Lau, King Wai | Lu, Yingchang | Lyytikäinen, Leo-Pekka | Nelson, Christopher P. | Nikpay, Majid | Qu, Liming | Salfati, Elias | Scholz, Markus | Tukiainen, Taru | Willenborg, Christina | Won, Hong-Hee | Zeng, Lingyao | Zhang, Weihua | Anand, Sonia S. | Beutner, Frank | Bottinger, Erwin P. | Clarke, Robert | Dedoussis, George | Do, Ron | Esko, Tõnu | Eskola, Markku | Farrall, Martin | Gauguier, Dominique | Giedraitis, Vilmantas | Granger, Christopher B. | Hall, Alistair S. | Hamsten, Anders | Hazen, Stanley L. | Huang, Jie | Kähönen, Mika | Kyriakou, Theodosios | Laaksonen, Reijo | Lind, Lars | Lindgren, Cecilia | Magnusson, Patrik K. E. | Marouli, Eirini | Mihailov, Evelin | Morris, Andrew P. | Nikus, Kjell | Pedersen, Nancy | Rallidis, Loukianos | Salomaa, Veikko | Shah, Svati H. | Stewart, Alexandre F. R. | Thompson, John R. | Zalloua, Pierre A. | Chambers, John C. | Collins, Rory | Ingelsson, Erik | Iribarren, Carlos | Karhunen, Pekka J. | Kooner, Jaspal S. | Lehtimäki, Terho | Loos, Ruth J. F. | März, Winfried | McPherson, Ruth | Metspalu, Andres | Reilly, Muredach P. | Ripatti, Samuli | Sanghera, Dharambir K. | Thiery, Joachim | Watkins, Hugh | Deloukas, Panos | Kathiresan, Sekar | Samani, Nilesh J. | Schunkert, Heribert | Erdmann, Jeanette | König, Inke R.
Scientific Reports  2016;6:35278.
In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.
doi:10.1038/srep35278
PMCID: PMC5059659  PMID: 27731410
7.  Molecular mechanisms underlying variations in lung function: a systems genetics analysis 
The Lancet. Respiratory medicine  2015;3(10):782-795.
Summary
Background
Lung function measures reflect the physiological state of the lung, and are essential to the diagnosis of chronic obstructive pulmonary disease (COPD). The SpiroMeta-CHARGE consortium undertook the largest genome-wide association study (GWAS) so far (n=48 201) for forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FEV1/FVC) in the general population. The lung expression quantitative trait loci (eQTLs) study mapped the genetic architecture of gene expression in lung tissue from 1111 individuals. We used a systems genetics approach to identify single nucleotide polymorphisms (SNPs) associated with lung function that act as eQTLs and change the level of expression of their target genes in lung tissue; termed eSNPs.
Methods
The SpiroMeta-CHARGE GWAS results were integrated with lung eQTLs to map eSNPs and the genes and pathways underlying the associations in lung tissue. For comparison, a similar analysis was done in peripheral blood. The lung mRNA expression levels of the eSNP-regulated genes were tested for associations with lung function measures in 727 individuals. Additional analyses identified the pleiotropic effects of eSNPs from the published GWAS catalogue, and mapped enrichment in regulatory regions from the ENCODE project. Finally, the Connectivity Map database was used to identify potential therapeutics in silico that could reverse the COPD lung tissue gene signature.
Findings
SNPs associated with lung function measures were more likely to be eQTLs and vice versa. The integration mapped the specific genes underlying the GWAS signals in lung tissue. The eSNP-regulated genes were enriched for developmental and inflammatory pathways; by comparison, SNPs associated with lung function that were eQTLs in blood, but not in lung, were only involved in inflammatory pathways. Lung function eSNPs were enriched for regulatory elements and were over-represented among genes showing differential expression during fetal lung development. An mRNA gene expression signature for COPD was identified in lung tissue and compared with the Connectivity Map. This in-silico drug repurposing approach suggested several compounds that reverse the COPD gene expression signature, including a nicotine receptor antagonist. These findings represent novel therapeutic pathways for COPD.
Interpretation
The system genetics approach identified lung tissue genes driving the variation in lung function and susceptibility to COPD. The identification of these genes and the pathways in which they are enriched is essential to understand the pathophysiology of airway obstruction and to identify novel therapeutic targets and biomarkers for COPD, including drugs that reverse the COPD gene signature in silico.
Funding
The research reported in this article was not specifically funded by any agency. See Acknowledgments for a full list of funders of the lung eQTL study and the Spiro-Meta CHARGE GWAS.
doi:10.1016/S2213-2600(15)00380-X
PMCID: PMC5021067  PMID: 26404118
8.  Effects of hormonal contraception on systemic metabolism: cross-sectional and longitudinal evidence 
Background: Hormonal contraception is commonly used worldwide, but its systemic effects across lipoprotein subclasses, fatty acids, circulating metabolites and cytokines remain poorly understood.
Methods: A comprehensive molecular profile (75 metabolic measures and 37 cytokines) was measured for up to 5841 women (age range 24–49 years) from three population-based cohorts. Women using combined oral contraceptive pills (COCPs) or progestin-only contraceptives (POCs) were compared with those who did not use hormonal contraception. Metabolomics profiles were reassessed for 869 women after 6 years to uncover the metabolic effects of starting, stopping and persistently using hormonal contraception.
Results: The comprehensive molecular profiling allowed multiple new findings on the metabolic associations with the use of COCPs. They were positively associated with lipoprotein subclasses, including all high-density lipoprotein (HDL) subclasses. The associations with fatty acids and amino acids were strong and variable in direction. COCP use was negatively associated with albumin and positively associated with creatinine and inflammatory markers, including glycoprotein acetyls and several growth factors and interleukins. Our findings also confirmed previous results e.g. for increased circulating triglycerides and HDL cholesterol. Starting COCPs caused similar metabolic changes to those observed cross-sectionally: the changes were maintained in consistent users and normalized in those who stopped using. In contrast, POCs were only weakly associated with metabolic and inflammatory markers. Results were consistent across all cohorts and for different COCP preparations and different types of POC delivery.
Conclusions: Use of COCPs causes widespread metabolic and inflammatory effects. However, persistent use does not appear to accumulate the effects over time and the metabolic perturbations are reversed upon discontinuation. POCs have little effect on systemic metabolism and inflammation.
doi:10.1093/ije/dyw147
PMCID: PMC5100613  PMID: 27538888
hormonal contraception; combined oral contraceptive pills; progestin-only contraceptives; metabolomics; cytokines; inflammation; amino acids; fatty acids; lipoproteins; hormones; risk factors
9.  Metabolic profiling of alcohol consumption in 9778 young adults 
Background: High alcohol consumption is a major cause of morbidity, yet alcohol is associated with both favourable and adverse effects on cardiometabolic risk markers. We aimed to characterize the associations of usual alcohol consumption with a comprehensive systemic metabolite profile in young adults.
Methods: Cross-sectional associations of alcohol intake with 86 metabolic measures were assessed for 9778 individuals from three population-based cohorts from Finland (age 24–45 years, 52% women). Metabolic changes associated with change in alcohol intake during 6-year follow-up were further examined for 1466 individuals. Alcohol intake was assessed by questionnaires. Circulating lipids, fatty acids and metabolites were quantified by high-throughput nuclear magnetic resonance metabolomics and biochemical assays.
Results: Increased alcohol intake was associated with cardiometabolic risk markers across multiple metabolic pathways, including higher lipid concentrations in HDL subclasses and smaller LDL particle size, increased proportions of monounsaturated fatty acids and decreased proportion of omega-6 fatty acids, lower concentrations of glutamine and citrate (P < 0.001 for 56 metabolic measures). Many metabolic biomarkers displayed U-shaped associations with alcohol consumption. Results were coherent for men and women, consistent across the three cohorts and similar if adjusting for body mass index, smoking and physical activity. The metabolic changes accompanying change in alcohol intake during follow-up resembled the cross-sectional association pattern (R2 = 0.83, slope = 0.72 ± 0.04).
Conclusions: Alcohol consumption is associated with a complex metabolic signature, including aberrations in multiple biomarkers for elevated cardiometabolic risk. The metabolic signature tracks with long-term changes in alcohol consumption. These results elucidate the double-edged effects of alcohol on cardiovascular risk.
doi:10.1093/ije/dyw175
PMCID: PMC5100616  PMID: 27494945
Alcohol; risk factors; metabolomics; fatty acids; metabolic profiling
10.  Childhood Psychosocial Cumulative Risks and Carotid Intima-Media Thickness in Adulthood: The Cardiovascular Risk in Young Finns Study 
Psychosomatic medicine  2016;78(2):171-181.
Objective
Adverse experiences in childhood may influence cardiovascular risk in adulthood. We examined the prospective associations between types of psychosocial adversity as well as having multiple adversities (e.g., cumulative risk) with carotid intima-media thickness (IMT) and its progression among young adults. Higher cumulative risk score in childhood was expected to be associated with higher IMT and its progression.
Methods
Participants were 2265 men and women (age range: 24-39 years in 2001) from the on-going Cardiovascular Risk in Young Finns study whose carotid IMT were measured in 2001 and 2007. A cumulative psychosocial risk score, assessed at the study baseline in 1980, was derived from four separate aspects of the childhood environment that may impose risk (childhood stressful life-events, parental health behavior family, socioeconomic status, and childhood emotional environment).
Results
The cumulative risk score was associated with higher IMT in 2007 (b=.004; se=.001; p<.001) and increased IMT progression from 2001 to 2007 (b=.003; se=.001; p=.001). The associations were robust to adjustment for conventional cardiovascular risk factors in childhood and adulthood, including adulthood health behavior, adulthood socioeconomic status and depressive symptoms. Among the individual childhood psychosocial risk categories, having more stressful life-events was associated with higher IMT in 2001 (b=.007; se=.003; p=.016) and poorer parental health behavior predicted higher IMT in 2007 (b=.004; se=.002; p=.031) after adjustment for age, sex and childhood cardiovascular risk factors.
Conclusions
Early life psychosocial environment influences cardiovascular risk later in life and considering cumulative childhood risk factors may be more informative than individual factors in predicting progression of preclinical atherosclerosis in adulthood.
doi:10.1097/PSY.0000000000000246
PMCID: PMC4739501  PMID: 26809108
cardiovascular diseases; cumulative risk score; psychosocial
11.  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
12.  Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels 
van Leeuwen, Elisabeth M | Sabo, Aniko | Bis, Joshua C | Huffman, Jennifer E | Manichaikul, Ani | Smith, Albert V | Feitosa, Mary F | Demissie, Serkalem | Joshi, Peter K | Duan, Qing | Marten, Jonathan | van Klinken, Jan B | Surakka, Ida | Nolte, Ilja M | Zhang, Weihua | Mbarek, Hamdi | Li-Gao, Ruifang | Trompet, Stella | Verweij, Niek | Evangelou, Evangelos | Lyytikäinen, Leo-Pekka | Tayo, Bamidele O | Deelen, Joris | van der Most, Peter J | van der Laan, Sander W | Arking, Dan E | Morrison, Alanna | Dehghan, Abbas | Franco, Oscar H | Hofman, Albert | Rivadeneira, Fernando | Sijbrands, Eric J | Uitterlinden, Andre G | Mychaleckyj, Josyf C | Campbell, Archie | Hocking, Lynne J | Padmanabhan, Sandosh | Brody, Jennifer A | Rice, Kenneth M | White, Charles C | Harris, Tamara | Isaacs, Aaron | Campbell, Harry | Lange, Leslie A | Rudan, Igor | Kolcic, Ivana | Navarro, Pau | Zemunik, Tatijana | Salomaa, Veikko | Kooner, Angad S | Kooner, Jaspal S | Lehne, Benjamin | Scott, William R | Tan, Sian-Tsung | de Geus, Eco J | Milaneschi, Yuri | Penninx, Brenda W J H | Willemsen, Gonneke | de Mutsert, Renée | Ford, Ian | Gansevoort, Ron T | Segura-Lepe, Marcelo P | Raitakari, Olli T | Viikari, Jorma S | Nikus, Kjell | Forrester, Terrence | McKenzie, Colin A | de Craen, Anton J M | de Ruijter, Hester M | Pasterkamp, Gerard | Snieder, Harold | Oldehinkel, Albertine J | Slagboom, P Eline | Cooper, Richard S | Kähönen, Mika | Lehtimäki, Terho | Elliott, Paul | van der Harst, Pim | Jukema, J Wouter | Mook-Kanamori, Dennis O | Boomsma, Dorret I | Chambers, John C | Swertz, Morris | Ripatti, Samuli | Willems van Dijk, Ko | Vitart, Veronique | Polasek, Ozren | Hayward, Caroline | Wilson, James G | Wilson, James F | Gudnason, Vilmundur | Rich, Stephen S | Psaty, Bruce M | Borecki, Ingrid B | Boerwinkle, Eric | Rotter, Jerome I | Cupples, L Adrienne | van Duijn, Cornelia M
Journal of Medical Genetics  2016;53(7):441-449.
Background
So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.
Methods
We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage.
Results
Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.
Conclusions
This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.
doi:10.1136/jmedgenet-2015-103439
PMCID: PMC4941146  PMID: 27036123
Complex traits; Epidemiology; Genetics; Genome-wide; circulating lipid levels
13.  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
14.  Central wave reflection is associated with peripheral arterial resistance in addition to arterial stiffness in subjects without antihypertensive medication 
Background
Augmentation index, a marker of central wave reflection, is influenced by age, sex, height, blood pressure, heart rate, and arterial stiffness. However, the detailed haemodynamic determinants of augmentation index, and their relations, remain uncertain. We examined the association of augmentation index with vascular resistance and other haemodynamic and non-haemodynamic factors.
Methods
Background information, laboratory values, and haemodynamics of 488 subjects (239 men, 249 women) without antihypertensive medication were obtained. Indices of central wave reflection, systemic vascular resistance, cardiac function, and pulse wave velocity were measured using continuous radial pulse wave analysis and whole-body impedance cardiography.
Results
In a regression model including only haemodynamic variables, augmentation index in males and female subjects, respectively, was associated with systemic vascular resistance (β = 0.425, β = 0.336), pulse wave velocity (β = 0.409, β = 0.400) (P < 0.001 for all), stroke volume (β = 0.256, β = 0.278) (P = 0.001 for both) and heart rate (β = −0.150, β = −0.156) (P = 0.049 and P = 0.036). When age, height, weight, smoking habits, and laboratory values were included in the regression model, the most significant explanatory variables for augmentation index in males and females, respectively, were age (β = 0.577, β = 0.557) and systemic vascular resistance (β = 0.437, β = 0.295) (P < 0.001 for all). In the final regression model, pulse wave velocity was not a significant explanatory variable for augmentation index, probably due to the high correlation of this variable with age (Spearman’s correlation ≥0.617).
Conclusion
Augmentation index is strongly associated with systemic vascular resistance in addition to arterial stiffness.
Trial registration
ClinicalTrials.gov, NCT01742702.
Electronic supplementary material
The online version of this article (doi:10.1186/s12872-016-0303-6) contains supplementary material, which is available to authorized users.
doi:10.1186/s12872-016-0303-6
PMCID: PMC4897906  PMID: 27266507
Augmentation index; Arterial stiffness; Central wave reflection; Systemic vascular resistance
15.  Increased Cardiac Workload in the Upright Posture in Men: Noninvasive Hemodynamics in Men Versus Women 
Background
Men and women differ in the risk of cardiovascular disease, but the underlying mechanisms are not completely understood. We examined possible sex‐related differences in supine and upright cardiovascular regulation.
Methods and Results
Hemodynamics were recorded from 167 men and 167 women of matching age (≈45 years) and body mass index (≈26.5) during passive head‐up tilt. None had diabetes mellitus or cardiovascular disease other than hypertension or used antihypertensive medication. Whole‐body impedance cardiography, tonometric radial blood pressure, and heart rate variability were analyzed. Results were adjusted for height, smoking, alcohol intake, mean arterial pressure, plasma lipids, and glucose. Supine hemodynamic differences were minor: Men had lower heart rate (−4%) and higher stroke index (+7.5%) than women (P<0.05 for both). Upright systemic vascular resistance was lower (−10%), but stroke index (+15%), cardiac index (+16%), and left cardiac work were clearly higher (+20%) in men than in women (P<0.001 for all). Corresponding results were observed in a subgroup of men and postmenopausal women (n=76, aged >55 years). Heart rate variability analyses showed higher low:high frequency ratios in supine (P<0.001) and upright (P=0.003) positions in men.
Conclusions
The foremost difference in cardiovascular regulation between sexes was higher upright hemodynamic workload for the heart in men, a finding not explained by known cardiovascular risk factors or hormonal differences before menopause. Heart rate variability analyses indicated higher sympathovagal balance in men regardless of body position. The deviations in upright hemodynamics could play a role in the differences in cardiovascular risk between men and women.
Clinical Trial Registration
URL: http://www.clinicaltrials.gov. Unique identifier: NCT01742702.
doi:10.1161/JAHA.115.002883
PMCID: PMC4937251  PMID: 27329447
cardiac output; hemodynamics; sex‐specific; Hemodynamics; Clinical Studies; Autonomic Nervous System
16.  The type of the functional cardiovascular response to upright posture is associated with arterial stiffness: a cross-sectional study in 470 volunteers 
Background
In a cross-sectional study we examined whether the haemodynamic response to upright posture could be divided into different functional phenotypes, and whether the observed phenotypes were associated with known determinants of cardiovascular risk.
Methods
Volunteers (n = 470) without medication with cardiovascular effects were examined using radial pulse wave analysis, whole-body impedance cardiography, and heart rate variability analysis. Based on the passive head-up tilt induced changes in systemic vascular resistance and cardiac output, the principal determinants of blood pressure, a cluster analysis was performed.
Results
The haemodynamic response could be clustered into 3 categories: upright increase in vascular resistance and decrease in cardiac output were greatest in the first (+45 % and -27 %, respectively), smallest in the second (+2 % and -2 %, respectively), and intermediate (+22 % and -13 %, respectively) in the third group. These groups were named as ‘constrictor’ (n = 109), ‘sustainer’ (n = 222), and ‘intermediate’ (n = 139) phenotypes, respectively. The sustainers were characterized by male predominance, higher body mass index, blood pressure, and also by higher pulse wave velocity, an index of large arterial stiffness, than the other groups (p < 0.01 for all). Heart rate variability analysis showed higher supine and upright low frequency/high frequency (LF/HF) ratio in the sustainers than constrictors, indicating increased sympathovagal balance. Upright LF/HF ratio was also higher in the sustainer than intermediate group. In multivariate analysis, independent explanatory factors for higher pulse wave velocity were the sustainer (p < 0.022) and intermediate phenotypes (p < 0.046), age (p < 0.001), body mass index (p < 0.001), and hypertension (p < 0.001).
Conclusions
The response to upright posture could be clustered to 3 functional phenotypes. The sustainer phenotype, with smallest upright decrease in cardiac output and highest sympathovagal balance, was independently associated with increased large arterial stiffness. These results indicate an association of the functional haemodynamic phenotype with an acknowledged marker of cardiovascular risk.
Trial registration
ClinicalTrials.gov NCT01742702
Electronic supplementary material
The online version of this article (doi:10.1186/s12872-016-0281-8) contains supplementary material, which is available to authorized users.
doi:10.1186/s12872-016-0281-8
PMCID: PMC4877753  PMID: 27216309
Arterial stiffness; Cardiac output; Heart rate; Head-up tilt; Systemic vascular resistance
17.  Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption 
Cornelis, Marilyn C | Byrne, Enda M | Esko, Tõnu | Nalls, Michael A | Ganna, Andrea | Paynter, Nina | Monda, Keri L | Amin, Najaf | Fischer, Krista | Renstrom, Frida | Ngwa, Julius S | Huikari, Ville | Cavadino, Alana | Nolte, Ilja M | Teumer, Alexander | Yu, Kai | Marques-Vidal, Pedro | Rawal, Rajesh | Manichaikul, Ani | Wojczynski, Mary K | Vink, Jacqueline M | Zhao, Jing Hua | Burlutsky, George | Lahti, Jari | Mikkilä, Vera | Lemaitre, Rozenn N | Eriksson, Joel | Musani, Solomon K | Tanaka, Toshiko | Geller, Frank | Luan, Jian’an | Hui, Jennie | Mägi, Reedik | Dimitriou, Maria | Garcia, Melissa E | Ho, Weang-Kee | Wright, Margaret J | Rose, Lynda M | Magnusson, Patrik KE | Pedersen, Nancy L | Couper, David | Oostra, Ben A | Hofman, Albert | Ikram, Mohammad Arfan | Tiemeier, Henning W | Uitterlinden, Andre G | van Rooij, Frank JA | Barroso, Inês | Johansson, Ingegerd | Xue, Luting | Kaakinen, Marika | Milani, Lili | Power, Chris | Snieder, Harold | Stolk, Ronald P | Baumeister, Sebastian E | Biffar, Reiner | Gu, Fangyi | Bastardot, François | Kutalik, Zoltán | Jacobs, David R | Forouhi, Nita G | Mihailov, Evelin | Lind, Lars | Lindgren, Cecilia | Michaëlsson, Karl | Morris, Andrew | Jensen, Majken | Khaw, Kay-Tee | Luben, Robert N | Wang, Jie Jin | Männistö, Satu | Perälä, Mia-Maria | Kähönen, Mika | Lehtimäki, Terho | Viikari, Jorma | Mozaffarian, Dariush | Mukamal, Kenneth | Psaty, Bruce M | Döring, Angela | Heath, Andrew C | Montgomery, Grant W | Dahmen, Norbert | Carithers, Teresa | Tucker, Katherine L | Ferrucci, Luigi | Boyd, Heather A | Melbye, Mads | Treur, Jorien L | Mellström, Dan | Hottenga, Jouke Jan | Prokopenko, Inga | Tönjes, Anke | Deloukas, Panos | Kanoni, Stavroula | Lorentzon, Mattias | Houston, Denise K | Liu, Yongmei | Danesh, John | Rasheed, Asif | Mason, Marc A | Zonderman, Alan B | Franke, Lude | Kristal, Bruce S | Karjalainen, Juha | Reed, Danielle R | Westra, Harm-Jan | Evans, Michele K | Saleheen, Danish | Harris, Tamara B | Dedoussis, George | Curhan, Gary | Stumvoll, Michael | Beilby, John | Pasquale, Louis R | Feenstra, Bjarke | Bandinelli, Stefania | Ordovas, Jose M | Chan, Andrew T | Peters, Ulrike | Ohlsson, Claes | Gieger, Christian | Martin, Nicholas G | Waldenberger, Melanie | Siscovick, David S | Raitakari, Olli | Eriksson, Johan G | Mitchell, Paul | Hunter, David J | Kraft, Peter | Rimm, Eric B | Boomsma, Dorret I | Borecki, Ingrid B | Loos, Ruth JF | Wareham, Nicholas J | Vollenweider, Peter | Caporaso, Neil | Grabe, Hans Jörgen | Neuhouser, Marian L | Wolffenbuttel, Bruce HR | Hu, Frank B | Hyppönen, Elina | Järvelin, Marjo-Riitta | Cupples, L Adrienne | Franks, Paul W | Ridker, Paul M | van Duijn, Cornelia M | Heiss, Gerardo | Metspalu, Andres | North, Kari E | Ingelsson, Erik | Nettleton, Jennifer A | van Dam, Rob M | Chasman, Daniel I
Molecular psychiatry  2014;20(5):647-656.
doi:10.1038/mp.2014.107
PMCID: PMC4388784  PMID: 25288136
18.  Prolonged sleep restriction induces changes in pathways involved in cholesterol metabolism and inflammatory responses 
Scientific Reports  2016;6:24828.
Sleep loss and insufficient sleep are risk factors for cardiometabolic diseases, but data on how insufficient sleep contributes to these diseases are scarce. These questions were addressed using two approaches: an experimental, partial sleep restriction study (14 cases and 7 control subjects) with objective verification of sleep amount, and two independent epidemiological cohorts (altogether 2739 individuals) with questions of sleep insufficiency. In both approaches, blood transcriptome and serum metabolome were analysed. Sleep loss decreased the expression of genes encoding cholesterol transporters and increased expression in pathways involved in inflammatory responses in both paradigms. Metabolomic analyses revealed lower circulating large HDL in the population cohorts among subjects reporting insufficient sleep, while circulating LDL decreased in the experimental sleep restriction study. These findings suggest that prolonged sleep deprivation modifies inflammatory and cholesterol pathways at the level of gene expression and serum lipoproteins, inducing changes toward potentially higher risk for cardiometabolic diseases.
doi:10.1038/srep24828
PMCID: PMC4840329  PMID: 27102866
19.  Novel Loci Associated with Usual Sleep Duration: The CHARGE Consortium Genome-Wide Association Study 
Gottlieb, Daniel J. | Hek, Karin | Chen, Ting-hsu | Watson, Nathaniel F. | Eiriksdottir, Gudny | Byrne, Enda M. | Cornelis, Marilyn | Warby, Simon C. | Bandinelli, Stefania | Cherkas, Lynn | Evans, Daniel S. | Grabe, Hans J. | Lahti, Jari | Li, Man | Lehtimäki, Terho | Lumley, Thomas | Marciante, Kristin D. | Pérusse, Louis | Psaty, Bruce M. | Robbins, John | Tranah, Gregory J. | Vink, Jacqueline M. | Wilk, Jemma B. | Stafford, Jeanette M. | Bellis, Claire | Biffar, Reiner | Bouchard, Claude | Cade, Brian | Curhan, Gary C. | Eriksson, Johan G. | Ewert, Ralf | Ferrucci, Luigi | Fülöp, Tibor | Gehrman, Philip R. | Goodloe, Robert | Harris, Tamara B. | Heath, Andrew C. | Hernandez, Dena | Hofman, Albert | Hottenga, Jouke-Jan | Hunter, David J. | Jensen, Majken K. | Johnson, Andrew D. | Kähönen, Mika | Kao, Linda | Kraft, Peter | Larkin, Emma K. | Lauderdale, Diane S. | Luik, Annemarie I. | Medici, Marco | Montgomery, Grant W. | Palotie, Aarno | Patel, Sanjay R. | Pistis, Giorgio | Porcu, Eleonora | Quaye, Lydia | Raitakari, Olli | Redline, Susan | Rimm, Eric B. | Rotter, Jerome I. | Smith, Albert V. | Spector, Tim D. | Teumer, Alexander | Uitterlinden, André G. | Vohl, Marie-Claude | Widen, Elisabeth | Willemsen, Gonneke | Young, Terry | Zhang, Xiaoling | Liu, Yongmei | Blangero, John | Boomsma, Dorret I. | Gudnason, Vilmundur | Hu, Frank | Mangino, Massimo | Martin, Nicholas G. | O’Connor, George T. | Stone, Katie L. | Tanaka, Toshiko | Viikari, Jorma | Gharib, Sina A. | Punjabi, Naresh M. | Räikkönen, Katri | Völzke, Henry | Mignot, Emmanuel | Tiemeier, Henning
Molecular psychiatry  2014;20(10):1232-1239.
Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study of usual sleep duration was conducted using 18 population-based cohorts totaling 47,180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35–80 kb upstream from the thyroid-specific transcription factor PAX8 (lowest p=1.1 ×10−9). This finding was replicated in an African-American sample of 4771 individuals (lowest p=9.3 × 10−4). The strongest combined association was at rs1823125 (p=1.5 × 10−10, minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 minutes longer per night. The alleles associated with longer sleep duration were associated in previous genome-wide association studies with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.
doi:10.1038/mp.2014.133
PMCID: PMC4430294  PMID: 25469926
Sleep; Genome-wide association study
20.  Novel Loci Associated with Usual Sleep Duration: The CHARGE Consortium Genome-Wide Association Study 
Gottlieb, Daniel J. | Hek, Karin | Chen, Ting-hsu | Watson, Nathaniel F. | Eiriksdottir, Gudny | Byrne, Enda M. | Cornelis, Marilyn | Warby, Simon C. | Bandinelli, Stefania | Cherkas, Lynn | Evans, Daniel S. | Grabe, Hans J. | Lahti, Jari | Li, Man | Lehtimäki, Terho | Lumley, Thomas | Marciante, Kristin D. | Pérusse, Louis | Psaty, Bruce M. | Robbins, John | Tranah, Gregory J. | Vink, Jacqueline M. | Wilk, Jemma B. | Stafford, Jeanette M. | Bellis, Claire | Biffar, Reiner | Bouchard, Claude | Cade, Brian | Curhan, Gary C. | Eriksson, Johan G. | Ewert, Ralf | Ferrucci, Luigi | Fülöp, Tibor | Gehrman, Philip R. | Goodloe, Robert | Harris, Tamara B. | Heath, Andrew C. | Hernandez, Dena | Hofman, Albert | Hottenga, Jouke-Jan | Hunter, David J. | Jensen, Majken K. | Johnson, Andrew D. | Kähönen, Mika | Kao, Linda | Kraft, Peter | Larkin, Emma K. | Lauderdale, Diane S. | Luik, Annemarie I. | Medici, Marco | Montgomery, Grant W. | Palotie, Aarno | Patel, Sanjay R. | Pistis, Giorgio | Porcu, Eleonora | Quaye, Lydia | Raitakari, Olli | Redline, Susan | Rimm, Eric B. | Rotter, Jerome I. | Smith, Albert V. | Spector, Tim D. | Teumer, Alexander | Uitterlinden, André G. | Vohl, Marie-Claude | Widen, Elisabeth | Willemsen, Gonneke | Young, Terry | Zhang, Xiaoling | Liu, Yongmei | Blangero, John | Boomsma, Dorret I. | Gudnason, Vilmundur | Hu, Frank | Mangino, Massimo | Martin, Nicholas G. | O’Connor, George T. | Stone, Katie L. | Tanaka, Toshiko | Viikari, Jorma | Gharib, Sina A. | Punjabi, Naresh M. | Räikkönen, Katri | Völzke, Henry | Mignot, Emmanuel | Tiemeier, Henning
Molecular psychiatry  2014;20(10):1232-1239.
Usual sleep duration is a heritable trait correlated with psychiatric morbidity, cardiometabolic disease and mortality, although little is known about the genetic variants influencing this trait. A genome-wide association study of usual sleep duration was conducted using 18 population-based cohorts totaling 47,180 individuals of European ancestry. Genome-wide significant association was identified at two loci. The strongest is located on chromosome 2, in an intergenic region 35-80 kb upstream from the thyroid-specific transcription factor PAX8 (lowest p=1.1 × 10−9). This finding was replicated in an African-American sample of 4771 individuals (lowest p=9.3 × 10−4). The strongest combined association was at rs1823125 (p=1.5 × 10−10, minor allele frequency 0.26 in the discovery sample, 0.12 in the replication sample), with each copy of the minor allele associated with a sleep duration 3.1 minutes longer per night. The alleles associated with longer sleep duration were associated in previous genome-wide association studies with a more favorable metabolic profile and a lower risk of attention deficit hyperactivity disorder. Understanding the mechanisms underlying these associations may help elucidate biological mechanisms influencing sleep duration and its association with psychiatric, metabolic and cardiovascular disease.
doi:10.1038/mp.2014.133
PMCID: PMC4430294  PMID: 25469926
Sleep; Genome-wide association study
21.  Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error 
Fan, Qiao | Verhoeven, Virginie J. M. | Wojciechowski, Robert | Barathi, Veluchamy A. | Hysi, Pirro G. | Guggenheim, Jeremy A. | Höhn, René | Vitart, Veronique | Khawaja, Anthony P. | Yamashiro, Kenji | Hosseini, S Mohsen | Lehtimäki, Terho | Lu, Yi | Haller, Toomas | Xie, Jing | Delcourt, Cécile | Pirastu, Mario | Wedenoja, Juho | Gharahkhani, Puya | Venturini, Cristina | Miyake, Masahiro | Hewitt, Alex W. | Guo, Xiaobo | Mazur, Johanna | Huffman, Jenifer E. | Williams, Katie M. | Polasek, Ozren | Campbell, Harry | Rudan, Igor | Vatavuk, Zoran | Wilson, James F. | Joshi, Peter K. | McMahon, George | St Pourcain, Beate | Evans, David M. | Simpson, Claire L. | Schwantes-An, Tae-Hwi | Igo, Robert P. | Mirshahi, Alireza | Cougnard-Gregoire, Audrey | Bellenguez, Céline | Blettner, Maria | Raitakari, Olli | Kähönen, Mika | Seppala, Ilkka | Zeller, Tanja | Meitinger, Thomas | Ried, Janina S. | Gieger, Christian | Portas, Laura | van Leeuwen, Elisabeth M. | Amin, Najaf | Uitterlinden, André G. | Rivadeneira, Fernando | Hofman, Albert | Vingerling, Johannes R. | Wang, Ya Xing | Wang, Xu | Tai-Hui Boh, Eileen | Ikram, M. Kamran | Sabanayagam, Charumathi | Gupta, Preeti | Tan, Vincent | Zhou, Lei | Ho, Candice E. H. | Lim, Wan'e | Beuerman, Roger W. | Siantar, Rosalynn | Tai, E-Shyong | Vithana, Eranga | Mihailov, Evelin | Khor, Chiea-Chuen | Hayward, Caroline | Luben, Robert N. | Foster, Paul J. | Klein, Barbara E. K. | Klein, Ronald | Wong, Hoi-Suen | Mitchell, Paul | Metspalu, Andres | Aung, Tin | Young, Terri L. | He, Mingguang | Pärssinen, Olavi | van Duijn, Cornelia M. | Jin Wang, Jie | Williams, Cathy | Jonas, Jost B. | Teo, Yik-Ying | Mackey, David A. | Oexle, Konrad | Yoshimura, Nagahisa | Paterson, Andrew D. | Pfeiffer, Norbert | Wong, Tien-Yin | Baird, Paul N. | Stambolian, Dwight | Wilson, Joan E. Bailey | Cheng, Ching-Yu | Hammond, Christopher J. | Klaver, Caroline C. W. | Saw, Seang-Mei | Rahi, Jugnoo S. | Korobelnik, Jean-François | Kemp, John P. | Timpson, Nicholas J. | Smith, George Davey | Craig, Jamie E. | Burdon, Kathryn P. | Fogarty, Rhys D. | Iyengar, Sudha K. | Chew, Emily | Janmahasatian, Sarayut | Martin, Nicholas G. | MacGregor, Stuart | Xu, Liang | Schache, Maria | Nangia, Vinay | Panda-Jonas, Songhomitra | Wright, Alan F. | Fondran, Jeremy R. | Lass, Jonathan H. | Feng, Sheng | Zhao, Jing Hua | Khaw, Kay-Tee | Wareham, Nick J. | Rantanen, Taina | Kaprio, Jaakko | Pang, Chi Pui | Chen, Li Jia | Tam, Pancy O. | Jhanji, Vishal | Young, Alvin L. | Döring, Angela | Raffel, Leslie J. | Cotch, Mary-Frances | Li, Xiaohui | Yip, Shea Ping | Yap, Maurice K.H. | Biino, Ginevra | Vaccargiu, Simona | Fossarello, Maurizio | Fleck, Brian | Yazar, Seyhan | Tideman, Jan Willem L. | Tedja, Milly | Deangelis, Margaret M. | Morrison, Margaux | Farrer, Lindsay | Zhou, Xiangtian | Chen, Wei | Mizuki, Nobuhisa | Meguro, Akira | Mäkelä, Kari Matti
Nature Communications  2016;7:11008.
Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10−5), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.
This report by the Consortium for Refractive Error and Myopia uses gene-environment-wide interaction study (GEWIS) to identify genetic loci that affect environmental influence in myopia development, and identifies ethnic specific genetic loci that attribute to eye refractive errors.
doi:10.1038/ncomms11008
PMCID: PMC4820539  PMID: 27020472
22.  Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA 
Nature Communications  2016;7:11122.
Genome-wide association studies have identified numerous loci linked with complex diseases, for which the molecular mechanisms remain largely unclear. Comprehensive molecular profiling of circulating metabolites captures highly heritable traits, which can help to uncover metabolic pathophysiology underlying established disease variants. We conduct an extended genome-wide association study of genetic influences on 123 circulating metabolic traits quantified by nuclear magnetic resonance metabolomics from up to 24,925 individuals and identify eight novel loci for amino acids, pyruvate and fatty acids. The LPA locus link with cardiovascular risk exemplifies how detailed metabolic profiling may inform underlying aetiology via extensive associations with very-low-density lipoprotein and triglyceride metabolism. Genetic fine mapping and Mendelian randomization uncover wide-spread causal effects of lipoprotein(a) on overall lipoprotein metabolism and we assess potential pleiotropic consequences of genetically elevated lipoprotein(a) on diverse morbidities via electronic health-care records. Our findings strengthen the argument for safe LPA-targeted intervention to reduce cardiovascular risk.
Circulating metabolites reflect human health and disease. Here, Kettunen et al. perform a genome-wide association study on 123 circulating metabolic traits and identify novel genetic loci influencing systemic metabolism. They also link new molecular pathways with a known cardiovascular risk factor Lp(a).
doi:10.1038/ncomms11122
PMCID: PMC4814583  PMID: 27005778
23.  Associations of functional alanine-glyoxylate aminotransferase 2 gene variants with atrial fibrillation and ischemic stroke 
Scientific Reports  2016;6:23207.
Asymmetric and symmetric dimethylarginines (ADMA and SDMA) impair nitric oxide bioavailability and have been implicated in the pathogenesis of atrial fibrillation (AF). Alanine–glyoxylate aminotransferase 2 (AGXT2) is the only enzyme capable of metabolizing both of the dimethylarginines. We hypothesized that two functional AGXT2 missense variants (rs37369, V140I; rs16899974, V498L) are associated with AF and its cardioembolic complications. Association analyses were conducted using 1,834 individulas with AF and 7,159 unaffected individuals from two coronary angiography cohorts and a cohort comprising patients undergoing clinical exercise testing. In coronary angiography patients without structural heart disease, the minor A allele of rs16899974 was associated with any AF (OR = 2.07, 95% CI 1.59-2.68), and with paroxysmal AF (OR = 1.98, 95% CI 1.44–2.74) and chronic AF (OR = 2.03, 95% CI 1.35–3.06) separately. We could not replicate the association with AF in the other two cohorts. However, the A allele of rs16899974 was nominally associated with ischemic stroke risk in the meta-analysis of WTCCC2 ischemic stroke cohorts (3,548 cases, 5,972 controls) and with earlier onset of first-ever ischemic stroke (360 cases) in the cohort of clinical exercise test patients. In conclusion, AGXT2 variations may be involved in the pathogenesis of AF and its age-related thromboembolic complications.
doi:10.1038/srep23207
PMCID: PMC4794714  PMID: 26984639
24.  Metabolomic Profiling of Statin Use and Genetic Inhibition of HMG-CoA Reductase 
Background
Statins are first-line therapy for cardiovascular disease prevention, but their systemic effects across lipoprotein subclasses, fatty acids, and circulating metabolites remain incompletely characterized.
Objectives
This study sought to determine the molecular effects of statin therapy on multiple metabolic pathways.
Methods
Metabolic profiles based on serum nuclear magnetic resonance metabolomics were quantified at 2 time points in 4 population-based cohorts from the United Kingdom and Finland (N = 5,590; 2.5 to 23.0 years of follow-up). Concentration changes in 80 lipid and metabolite measures during follow-up were compared between 716 individuals who started statin therapy and 4,874 persistent nonusers. To further understand the pharmacological effects of statins, we used Mendelian randomization to assess associations of a genetic variant known to mimic inhibition of HMG-CoA reductase (the intended drug target) with the same lipids and metabolites for 27,914 individuals from 8 population-based cohorts.
Results
Starting statin therapy was associated with numerous lipoprotein and fatty acid changes, including substantial lowering of remnant cholesterol (80% relative to low-density lipoprotein cholesterol [LDL-C]), but only modest lowering of triglycerides (25% relative to LDL-C). Among fatty acids, omega-6 levels decreased the most (68% relative to LDL-C); other fatty acids were only modestly affected. No robust changes were observed for circulating amino acids, ketones, or glycolysis-related metabolites. The intricate metabolic changes associated with statin use closely matched the association pattern with rs12916 in the HMGCR gene (R2 = 0.94, slope 1.00 ± 0.03).
Conclusions
Statin use leads to extensive lipid changes beyond LDL-C and appears efficacious for lowering remnant cholesterol. Metabolomic profiling, however, suggested minimal effects on amino acids. The results exemplify how detailed metabolic characterization of genetic proxies for drug targets can inform indications, pleiotropic effects, and pharmacological mechanisms.
doi:10.1016/j.jacc.2015.12.060
PMCID: PMC4783625  PMID: 26965542
cholesterol lowering; drug development; lipoproteins; Mendelian randomization; metabolomics; CVD, cardiovascular disease; HDL, high-density lipoprotein; HMGCR, HMG-CoA reductase; IDL, intermediate-density lipoprotein; LDL-C, low-density lipoprotein cholesterol; NMR, nuclear magnetic resonance; VLDL, very-low-density lipoprotein
25.  Twenty-eight genetic loci associated with ST-T-wave amplitudes of the electrocardiogram 
Human Molecular Genetics  2016;25(10):2093-2103.
The ST-segment and adjacent T-wave (ST-T wave) amplitudes of the electrocardiogram are quantitative characteristics of cardiac repolarization. Repolarization abnormalities have been linked to ventricular arrhythmias and sudden cardiac death. We performed the first genome-wide association meta-analysis of ST-T-wave amplitudes in up to 37 977 individuals identifying 71 robust genotype–phenotype associations clustered within 28 independent loci. Fifty-four genes were prioritized as candidates underlying the phenotypes, including genes with established roles in the cardiac repolarization phase (SCN5A/SCN10A, KCND3, KCNB1, NOS1AP and HEY2) and others with as yet undefined cardiac function. These associations may provide insights in the spatiotemporal contribution of genetic variation influencing cardiac repolarization and provide novel leads for future functional follow-up.
doi:10.1093/hmg/ddw058
PMCID: PMC5062578  PMID: 26962151

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