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1.  Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence 
BMC Medicine  2016;14:205.
Background
Pregnancy triggers well-known alterations in maternal glucose and lipid balance but its overall effects on systemic metabolism remain incompletely understood.
Methods
Detailed molecular profiles (87 metabolic measures and 37 cytokines) were measured for up to 4260 women (24–49 years, 322 pregnant) from three population-based cohorts in Finland. Circulating molecular concentrations in pregnant women were compared to those in non-pregnant women. Metabolic profiles were also reassessed for 583 women 6 years later to uncover the longitudinal metabolic changes in response to change in the pregnancy status.
Results
Compared to non-pregnant women, all lipoprotein subclasses and lipids were markedly increased in pregnant women. The most pronounced differences were observed for the intermediate-density, low-density and high-density lipoprotein triglyceride concentrations. Large differences were also seen for many fatty acids and amino acids. Pregnant women also had higher concentrations of low-grade inflammatory marker glycoprotein acetyls, higher concentrations of interleukin-18 and lower concentrations of interleukin-12p70. The changes in metabolic concentrations for women who were not pregnant at baseline but pregnant 6 years later (or vice versa) matched (or were mirror-images of) the cross-sectional association pattern. Cross-sectional results were consistent across the three cohorts and similar longitudinal changes were seen for 653 women in 4-year and 497 women in 10-year follow-up. For multiple metabolic measures, the changes increased in magnitude across the three trimesters.
Conclusions
Pregnancy initiates substantial metabolic and inflammatory changes in the mothers. Comprehensive characterisation of normal pregnancy is important for gaining understanding of the key nutrients for fetal growth and development. These findings also provide a valuable molecular reference in relation to studies of adverse pregnancy outcomes.
Electronic supplementary material
The online version of this article (doi:10.1186/s12916-016-0733-0) contains supplementary material, which is available to authorized users.
doi:10.1186/s12916-016-0733-0
PMCID: PMC5153817  PMID: 27955712
Pregnancy; Trimesters; Postpartum; Metabolomics; Cytokines; Lipoprotein lipids; Fatty acids; Amino acids; Hormones; Inflammation; Metabolic networks
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.  Genomic prediction of coronary heart disease 
European Heart Journal  2016;37(43):3267-3278.
Aims
Genetics plays an important role in coronary heart disease (CHD) but the clinical utility of genomic risk scores (GRSs) relative to clinical risk scores, such as the Framingham Risk Score (FRS), is unclear. Our aim was to construct and externally validate a CHD GRS, in terms of lifetime CHD risk and relative to traditional clinical risk scores.
Methods and results
We generated a GRS of 49 310 SNPs based on a CARDIoGRAMplusC4D Consortium meta-analysis of CHD, then independently tested it using five prospective population cohorts (three FINRISK cohorts, combined n = 12 676, 757 incident CHD events; two Framingham Heart Study cohorts (FHS), combined n = 3406, 587 incident CHD events). The GRS was associated with incident CHD (FINRISK HR = 1.74, 95% confidence interval (CI) 1.61–1.86 per S.D. of GRS; Framingham HR = 1.28, 95% CI 1.18–1.38), and was largely unchanged by adjustment for known risk factors, including family history. Integration of the GRS with the FRS or ACC/AHA13 scores improved the 10 years risk prediction (meta-analysis C-index: +1.5–1.6%, P < 0.001), particularly for individuals ≥60 years old (meta-analysis C-index: +4.6–5.1%, P < 0.001). Importantly, the GRS captured substantially different trajectories of absolute risk, with men in the top 20% of attaining 10% cumulative CHD risk 12–18 y earlier than those in the bottom 20%. High genomic risk was partially compensated for by low systolic blood pressure, low cholesterol level, and non-smoking.
Conclusions
A GRS based on a large number of SNPs improves CHD risk prediction and encodes different trajectories of lifetime risk not captured by traditional clinical risk scores.
doi:10.1093/eurheartj/ehw450
PMCID: PMC5146693  PMID: 27655226
Genomic risk score; Coronary heart disease; Myocardial infarction; Framingham risk score; Primary prevention
7.  Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease 
Science (New York, N.Y.)  2016;351(6278):1166-1171.
Scavenger receptor BI (SR-BI) is the major receptor for high-density lipoprotein (HDL) cholesterol (HDL-C). In humans, high amounts of HDL-C in plasma are associated with a lower risk of coronary heart disease (CHD). Mice that have depleted Scarb1 (SR-BI knockout mice) have markedly elevated HDL-C levels but, paradoxically, increased atherosclerosis. The impact of SR-BI on HDL metabolism and CHD risk in humans remains unclear. Through targeted sequencing of coding regions of lipid-modifying genes in 328 individuals with extremely high plasma HDL-C levels, we identified a homozygote for a loss-of-function variant, in which leucine replaces proline 376 (P376L), in SCARB1, the gene encoding SR-BI. The P376L variant impairs posttranslational processing of SR-BI and abrogates selective HDL cholesterol uptake in transfected cells, in hepatocyte-like cells derived from induced pluripotent stem cells from the homozygous subject, and in mice. Large population-based studies revealed that subjects who are heterozygous carriers of the P376L variant have significantly increased levels of plasma HDL-C. P376L carriers have a profound HDL-related phenotype and an increased risk of CHD (odds ratio = 1.79, which is statistically significant).
doi:10.1126/science.aad3517
PMCID: PMC4889017  PMID: 26965621
8.  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
9.  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
10.  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
11.  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
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.  Adiposity as a cause of cardiovascular disease: a Mendelian randomization study 
Background: Adiposity, as indicated by body mass index (BMI), has been associated with risk of cardiovascular diseases in epidemiological studies. We aimed to investigate if these associations are causal, using Mendelian randomization (MR) methods.
Methods: The associations of BMI with cardiovascular outcomes [coronary heart disease (CHD), heart failure and ischaemic stroke], and associations of a genetic score (32 BMI single nucleotide polymorphisms) with BMI and cardiovascular outcomes were examined in up to 22 193 individuals with 3062 incident cardiovascular events from nine prospective follow-up studies within the ENGAGE consortium. We used random-effects meta-analysis in an MR framework to provide causal estimates of the effect of adiposity on cardiovascular outcomes.
Results: There was a strong association between BMI and incident CHD (HR = 1.20 per SD-increase of BMI, 95% CI, 1.12–1.28, P = 1.9·10−7), heart failure (HR = 1.47, 95% CI, 1.35–1.60, P = 9·10−19) and ischaemic stroke (HR = 1.15, 95% CI, 1.06–1.24, P = 0.0008) in observational analyses. The genetic score was robustly associated with BMI (β = 0.030 SD-increase of BMI per additional allele, 95% CI, 0.028–0.033, P = 3·10−107). Analyses indicated a causal effect of adiposity on development of heart failure (HR = 1.93 per SD-increase of BMI, 95% CI, 1.12–3.30, P = 0.017) and ischaemic stroke (HR = 1.83, 95% CI, 1.05–3.20, P = 0.034). Additional cross-sectional analyses using both ENGAGE and CARDIoGRAMplusC4D data showed a causal effect of adiposity on CHD.
Conclusions: Using MR methods, we provide support for the hypothesis that adiposity causes CHD, heart failure and, previously not demonstrated, ischaemic stroke.
doi:10.1093/ije/dyv094
PMCID: PMC4553708  PMID: 26016847
Cardiovascular disease; epidemiology; body mass index; Mendelian randomization
14.  A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease 
Nikpay, Majid | Goel, Anuj | Won, Hong-Hee | Hall, Leanne M | Willenborg, Christina | Kanoni, Stavroula | Saleheen, Danish | Kyriakou, Theodosios | Nelson, Christopher P | Hopewell, Jemma C | Webb, Thomas R | Zeng, Lingyao | Dehghan, Abbas | Alver, Maris | Armasu, Sebastian M | Auro, Kirsi | Bjonnes, Andrew | Chasman, Daniel I | Chen, Shufeng | Ford, Ian | Franceschini, Nora | Gieger, Christian | Grace, Christopher | Gustafsson, Stefan | Huang, Jie | Hwang, Shih-Jen | Kim, Yun Kyoung | Kleber, Marcus E | Lau, King Wai | Lu, Xiangfeng | Lu, Yingchang | Lyytikäinen, Leo-Pekka | Mihailov, Evelin | Morrison, Alanna C | Pervjakova, Natalia | Qu, Liming | Rose, Lynda M | Salfati, Elias | Saxena, Richa | Scholz, Markus | Smith, Albert V | Tikkanen, Emmi | Uitterlinden, Andre | Yang, Xueli | Zhang, Weihua | Zhao, Wei | de Andrade, Mariza | de Vries, Paul S | van Zuydam, Natalie R | Anand, Sonia S | Bertram, Lars | Beutner, Frank | Dedoussis, George | Frossard, Philippe | Gauguier, Dominique | Goodall, Alison H | Gottesman, Omri | Haber, Marc | Han, Bok-Ghee | Huang, Jianfeng | Jalilzadeh, Shapour | Kessler, Thorsten | König, Inke R | Lannfelt, Lars | Lieb, Wolfgang | Lind, Lars | Lindgren, Cecilia M | Lokki, Marja-Liisa | Magnusson, Patrik K | Mallick, Nadeem H | Mehra, Narinder | Meitinger, Thomas | Memon, Fazal-ur-Rehman | Morris, Andrew P | Nieminen, Markku S | Pedersen, Nancy L | Peters, Annette | Rallidis, Loukianos S | Rasheed, Asif | Samuel, Maria | Shah, Svati H | Sinisalo, Juha | Stirrups, Kathleen E | Trompet, Stella | Wang, Laiyuan | Zaman, Khan S | Ardissino, Diego | Boerwinkle, Eric | Borecki, Ingrid B | Bottinger, Erwin P | Buring, Julie E | Chambers, John C | Collins, Rory | Cupples, L Adrienne | Danesh, John | Demuth, Ilja | Elosua, Roberto | Epstein, Stephen E | Esko, Tõnu | Feitosa, Mary F | Franco, Oscar H | Franzosi, Maria Grazia | Granger, Christopher B | Gu, Dongfeng | Gudnason, Vilmundur | Hall, Alistair S | Hamsten, Anders | Harris, Tamara B | Hazen, Stanley L | Hengstenberg, Christian | Hofman, Albert | Ingelsson, Erik | Iribarren, Carlos | Jukema, J Wouter | Karhunen, Pekka J | Kim, Bong-Jo | Kooner, Jaspal S | Kullo, Iftikhar J | Lehtimäki, Terho | Loos, Ruth J F | Melander, Olle | Metspalu, Andres | März, Winfried | Palmer, Colin N | Perola, Markus | Quertermous, Thomas | Rader, Daniel J | Ridker, Paul M | Ripatti, Samuli | Roberts, Robert | Salomaa, Veikko | Sanghera, Dharambir K | Schwartz, Stephen M | Seedorf, Udo | Stewart, Alexandre F | Stott, David J | Thiery, Joachim | Zalloua, Pierre A | O’Donnell, Christopher J | Reilly, Muredach P | Assimes, Themistocles L | Thompson, John R | Erdmann, Jeanette | Clarke, Robert | Watkins, Hugh | Kathiresan, Sekar | McPherson, Ruth | Deloukas, Panos | Schunkert, Heribert | Samani, Nilesh J | Farrall, Martin
Nature genetics  2015;47(10):1121-1130.
Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association studies (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of 185 thousand CAD cases and controls, interrogating 6.7 million common (MAF>0.05) as well as 2.7 million low frequency (0.005
doi:10.1038/ng.3396
PMCID: PMC4589895  PMID: 26343387
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
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
Circulation  2015;131(9):774-785.
Background
High-throughput profiling of circulating metabolites may improve cardiovascular risk prediction over established risk factors.
Methods and Results
We applied quantitative NMR metabolomics to identify biomarkers for incident cardiovascular disease during long-term follow-up. Biomarker discovery was conducted in the FINRISK study (n=7256; 800 events). Replication and incremental risk prediction was assessed in the SABRE study (n=2622; 573 events) and British Women’s Health and Heart Study (n=3563; 368 events). In targeted analyses of 68 lipids and metabolites, 33 measures were associated with incident cardiovascular events at P<0.0007 after adjusting for age, sex, blood pressure, smoking, diabetes and medication. When further adjusting for routine lipids, four metabolites were associated with future cardiovascular events in meta-analyses: higher serum phenylalanine (hazard ratio per standard deviation: 1.18 [95%CI 1.12–1.24]; P=4×10−10) and monounsaturated fatty acid levels (1.17 [1.11–1.24]; P=1×10−8) were associated with increased cardiovascular risk, while higher omega-6 fatty acids (0.89 [0.84–0.94]; P=6×10−5) and docosahexaenoic acid levels (0.90 [0.86–0.95]; P=5×10−5) were associated with lower risk. A risk score incorporating these four biomarkers was derived in FINRISK. Risk prediction estimates were more accurate in the two validation cohorts (relative integrated discrimination improvement 8.8% and 4.3%), albeit discrimination was not enhanced. Risk classification was particularly improved for persons in the 5–10% risk range (net reclassification 27.1% and 15.5%). Biomarker associations were further corroborated with mass spectrometry in FINRISK (n=671) and the Framingham Offspring Study (n=2289).
Conclusions
Metabolite profiling in large prospective cohorts identified phenylalanine, monounsaturated and polyunsaturated fatty acids as biomarkers for cardiovascular risk. This study substantiates the value of high-throughput metabolomics for biomarker discovery and improved risk assessment.
doi:10.1161/CIRCULATIONAHA.114.013116
PMCID: PMC4351161  PMID: 25573147
biomarkers; metabolomics; risk prediction; amino acids; fatty acids
PLoS ONE  2016;11(2):e0150257.
Investigating whether metabolites regulate the co-expression of a predefined gene module is one of the relevant questions posed in the integrative analysis of metabolomic and transcriptomic data. This article concerns the integrative analysis of the two high-dimensional datasets by means of multivariate models and statistical tests for the dependence between metabolites and the co-expression of a gene module. The general linear model (GLM) for correlated data that we propose models the dependence between adjusted gene expression values through a block-diagonal variance-covariance structure formed by metabolic-subset specific general variance-covariance blocks. Performance of statistical tests for the inference of conditional co-expression are evaluated through a simulation study. The proposed methodology is applied to the gene expression data of the previously characterized lipid-leukocyte module. Our results show that the GLM approach improves on a previous approach by being less prone to the detection of spurious conditional co-expression.
doi:10.1371/journal.pone.0150257
PMCID: PMC4769021  PMID: 26918614
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
Scientific Reports  2016;6:20092.
Genome-wide association studies (GWAS) of complex behavioural phenotypes such as cigarette smoking typically employ self-report phenotypes. However, precise biomarker phenotypes may afford greater statistical power and identify novel variants. Here we report the results of a GWAS meta-analysis of levels of cotinine, the primary metabolite of nicotine, in 4,548 daily smokers of European ancestry. We identified a locus close to UGT2B10 at 4q13.2 (minimum p = 5.89 × 10−10 for rs114612145), which was consequently replicated. This variant is in high linkage disequilibrium with a known functional variant in the UGT2B10 gene which is associated with reduced nicotine and cotinine glucuronidation activity, but intriguingly is not associated with nicotine intake. Additionally, we observed association between multiple variants within the 15q25.1 region and cotinine levels, all located within the CHRNA5-A3-B4 gene cluster or adjacent genes, consistent with previous much larger GWAS using self-report measures of smoking quantity. These results clearly illustrate the increase in power afforded by using precise biomarker measures in GWAS. Perhaps more importantly however, they also highlight that biomarkers do not always mark the phenotype of interest. The use of metabolite data as a proxy for environmental exposures should be carefully considered in the context of individual differences in metabolic pathways.
doi:10.1038/srep20092
PMCID: PMC4735517  PMID: 26833182
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
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
Joshi, Peter K. | Esko, Tonu | Mattsson, Hannele | Eklund, Niina | Gandin, Ilaria | Nutile, Teresa | Jackson, Anne U. | Schurmann, Claudia | Smith, Albert V. | Zhang, Weihua | Okada, Yukinori | Stančáková, Alena | Faul, Jessica D. | Zhao, Wei | Bartz, Traci M. | Concas, Maria Pina | Franceschini, Nora | Enroth, Stefan | Vitart, Veronique | Trompet, Stella | Guo, Xiuqing | Chasman, Daniel I. | O’Connel, Jeffery R. | Corre, Tanguy | Nongmaithem, Suraj S. | Chen, Yuning | Mangino, Massimo | Ruggiero, Daniela | Traglia, Michela | Farmaki, Aliki-Eleni | Kacprowski, Tim | Bjonnes, Andrew | van der Spek, Ashley | Wu, Ying | Giri, Anil K. | Yanek, Lisa R. | Wang, Lihua | Hofer, Edith | Rietveld, Cornelius A. | McLeod, Olga | Cornelis, Marilyn C. | Pattaro, Cristian | Verweij, Niek | Baumbach, Clemens | Abdellaoui, Abdel | Warren, Helen R. | Vuckovic, Dragana | Mei, Hao | Bouchard, Claude | Perry, John R.B. | Cappellani, Stefania | Mirza, Saira S. | Benton, Miles C. | Broeckel, Ulrich | Medland, Sarah E. | Lind, Penelope A. | Malerba, Giovanni | Drong, Alexander | Yengo, Loic | Bielak, Lawrence F. | Zhi, Degui | van der Most, Peter J. | Shriner, Daniel | Mägi, Reedik | Hemani, Gibran | Karaderi, Tugce | Wang, Zhaoming | Liu, Tian | Demuth, Ilja | Zhao, Jing Hua | Meng, Weihua | Lataniotis, Lazaros | van der Laan, Sander W. | Bradfield, Jonathan P. | Wood, Andrew R. | Bonnefond, Amelie | Ahluwalia, Tarunveer S. | Hall, Leanne M. | Salvi, Erika | Yazar, Seyhan | Carstensen, Lisbeth | de Haan, Hugoline G. | Abney, Mark | Afzal, Uzma | Allison, Matthew A. | Amin, Najaf | Asselbergs, Folkert W. | Bakker, Stephan J.L. | Barr, R. Graham | Baumeister, Sebastian E. | Benjamin, Daniel J. | Bergmann, Sven | Boerwinkle, Eric | Bottinger, Erwin P. | Campbell, Archie | Chakravarti, Aravinda | Chan, Yingleong | Chanock, Stephen J. | Chen, Constance | Chen, Y.-D. Ida | Collins, Francis S. | Connell, John | Correa, Adolfo | Cupples, L. Adrienne | Smith, George Davey | Davies, Gail | Dörr, Marcus | Ehret, Georg | Ellis, Stephen B. | Feenstra, Bjarke | Feitosa, Mary F. | Ford, Ian | Fox, Caroline S. | Frayling, Timothy M. | Friedrich, Nele | Geller, Frank | Scotland, Generation | Gillham-Nasenya, Irina | Gottesman, Omri | Graff, Misa | Grodstein, Francine | Gu, Charles | Haley, Chris | Hammond, Christopher J. | Harris, Sarah E. | Harris, Tamara B. | Hastie, Nicholas D. | Heard-Costa, Nancy L. | Heikkilä, Kauko | Hocking, Lynne J. | Homuth, Georg | Hottenga, Jouke-Jan | Huang, Jinyan | Huffman, Jennifer E. | Hysi, Pirro G. | Ikram, M. Arfan | Ingelsson, Erik | Joensuu, Anni | Johansson, Åsa | Jousilahti, Pekka | Jukema, J. Wouter | Kähönen, Mika | Kamatani, Yoichiro | Kanoni, Stavroula | Kerr, Shona M. | Khan, Nazir M. | Koellinger, Philipp | Koistinen, Heikki A. | Kooner, Manraj K. | Kubo, Michiaki | Kuusisto, Johanna | Lahti, Jari | Launer, Lenore J. | Lea, Rodney A. | Lehne, Benjamin | Lehtimäki, Terho | Liewald, David C.M. | Lind, Lars | Loh, Marie | Lokki, Marja-Liisa | London, Stephanie J. | Loomis, Stephanie J. | Loukola, Anu | Lu, Yingchang | Lumley, Thomas | Lundqvist, Annamari | Männistö, Satu | Marques-Vidal, Pedro | Masciullo, Corrado | Matchan, Angela | Mathias, Rasika A. | Matsuda, Koichi | Meigs, James B. | Meisinger, Christa | Meitinger, Thomas | Menni, Cristina | Mentch, Frank D. | Mihailov, Evelin | Milani, Lili | Montasser, May E. | Montgomery, Grant W. | Morrison, Alanna | Myers, Richard H. | Nadukuru, Rajiv | Navarro, Pau | Nelis, Mari | Nieminen, Markku S. | Nolte, Ilja M. | O’Connor, George T. | Ogunniyi, Adesola | Padmanabhan, Sandosh | Palmas, Walter R. | Pankow, James S. | Patarcic, Inga | Pavani, Francesca | Peyser, Patricia A. | Pietilainen, Kirsi | Poulter, Neil | Prokopenko, Inga | Ralhan, Sarju | Redmond, Paul | Rich, Stephen S. | Rissanen, Harri | Robino, Antonietta | Rose, Lynda M. | Rose, Richard | Sala, Cinzia | Salako, Babatunde | Salomaa, Veikko | Sarin, Antti-Pekka | Saxena, Richa | Schmidt, Helena | Scott, Laura J. | Scott, William R. | Sennblad, Bengt | Seshadri, Sudha | Sever, Peter | Shrestha, Smeeta | Smith, Blair H. | Smith, Jennifer A. | Soranzo, Nicole | Sotoodehnia, Nona | Southam, Lorraine | Stanton, Alice V. | Stathopoulou, Maria G. | Strauch, Konstantin | Strawbridge, Rona J. | Suderman, Matthew J. | Tandon, Nikhil | Tang, Sian-Tsun | Taylor, Kent D. | Tayo, Bamidele O. | Töglhofer, Anna Maria | Tomaszewski, Maciej | Tšernikova, Natalia | Tuomilehto, Jaakko | Uitterlinden, Andre G. | Vaidya, Dhananjay | van Hylckama Vlieg, Astrid | van Setten, Jessica | Vasankari, Tuula | Vedantam, Sailaja | Vlachopoulou, Efthymia | Vozzi, Diego | Vuoksimaa, Eero | Waldenberger, Melanie | Ware, Erin B. | Wentworth-Shields, William | Whitfield, John B. | Wild, Sarah | Willemsen, Gonneke | Yajnik, Chittaranjan S. | Yao, Jie | Zaza, Gianluigi | Zhu, Xiaofeng | Project, The BioBank Japan | Salem, Rany M. | Melbye, Mads | Bisgaard, Hans | Samani, Nilesh J. | Cusi, Daniele | Mackey, David A. | Cooper, Richard S. | Froguel, Philippe | Pasterkamp, Gerard | Grant, Struan F.A. | Hakonarson, Hakon | Ferrucci, Luigi | Scott, Robert A. | Morris, Andrew D. | Palmer, Colin N.A. | Dedoussis, George | Deloukas, Panos | Bertram, Lars | Lindenberger, Ulman | Berndt, Sonja I. | Lindgren, Cecilia M. | Timpson, Nicholas J. | Tönjes, Anke | Munroe, Patricia B. | Sørensen, Thorkild I.A. | Rotimi, Charles N. | Arnett, Donna K. | Oldehinkel, Albertine J. | Kardia, Sharon L.R. | Balkau, Beverley | Gambaro, Giovanni | Morris, Andrew P. | Eriksson, Johan G. | Wright, Margie J. | Martin, Nicholas G. | Hunt, Steven C. | Starr, John M. | Deary, Ian J. | Griffiths, Lyn R. | Tiemeier, Henning | Pirastu, Nicola | Kaprio, Jaakko | Wareham, Nicholas J. | Pérusse, Louis | Wilson, James G. | Girotto, Giorgia | Caulfield, Mark J. | Raitakari, Olli | Boomsma, Dorret I. | Gieger, Christian | van der Harst, Pim | Hicks, Andrew A. | Kraft, Peter | Sinisalo, Juha | Knekt, Paul | Johannesson, Magnus | Magnusson, Patrik K.E. | Hamsten, Anders | Schmidt, Reinhold | Borecki, Ingrid B. | Vartiainen, Erkki | Becker, Diane M. | Bharadwaj, Dwaipayan | Mohlke, Karen L. | Boehnke, Michael | van Duijn, Cornelia M. | Sanghera, Dharambir K. | Teumer, Alexander | Zeggini, Eleftheria | Metspalu, Andres | Gasparini, Paolo | Ulivi, Sheila | Ober, Carole | Toniolo, Daniela | Rudan, Igor | Porteous, David J. | Ciullo, Marina | Spector, Tim D. | Hayward, Caroline | Dupuis, Josée | Loos, Ruth J.F. | Wright, Alan F. | Chandak, Giriraj R. | Vollenweider, Peter | Shuldiner, Alan | Ridker, Paul M. | Rotter, Jerome I. | Sattar, Naveed | Gyllensten, Ulf | North, Kari E. | Pirastu, Mario | Psaty, Bruce M. | Weir, David R. | Laakso, Markku | Gudnason, Vilmundur | Takahashi, Atsushi | Chambers, John C. | Kooner, Jaspal S. | Strachan, David P. | Campbell, Harry | Hirschhorn, Joel N. | Perola, Markus | Polašek, Ozren | Wilson, James F.
Nature  2015;523(7561):459-462.
Homozygosity has long been associated with rare, often devastating, Mendelian disorders1 and Darwin was one of the first to recognise that inbreeding reduces evolutionary fitness2. However, the effect of the more distant parental relatedness common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity, ROH), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power3,4. Here we use ROH to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts and find statistically significant associations between summed runs of homozygosity (SROH) and four complex traits: height, forced expiratory lung volume in 1 second (FEV1), general cognitive ability (g) and educational attainment (nominal p<1 × 10−300, 2.1 × 10−6, 2.5 × 10−10, 1.8 × 10−10). In each case increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing convincing evidence for the first time that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples5,6, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein (LDL) cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection7, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.
doi:10.1038/nature14618
PMCID: PMC4516141  PMID: 26131930
BMC Bioinformatics  2016;17(Suppl 2):11.
Background
Rapid computational and technological developments made large amounts of omics data available in different biological levels. It is becoming clear that simultaneous data analysis methods are needed for better interpretation and understanding of the underlying systems biology. Different methods have been proposed for this task, among them Partial Least Squares (PLS) related methods. To also deal with orthogonal variation, systematic variation in the data unrelated to one another, we consider the Two-way Orthogonal PLS (O2PLS): an integrative data analysis method which is capable of modeling systematic variation, while providing more parsimonious models aiding interpretation.
Results
A simulation study to assess the performance of O2PLS showed positive results in both low and higher dimensions. More noise (50 % of the data) only affected the systematic part estimates. A data analysis was conducted using data on metabolomics and transcriptomics from a large Finnish cohort (DILGOM). A previous sequential study, using the same data, showed significant correlations between the Lipo-Leukocyte (LL) module and lipoprotein metabolites. The O2PLS results were in agreement with these findings, identifying almost the same set of co-varying variables. Moreover, our integrative approach identified other associative genes and metabolites, while taking into account systematic variation in the data. Including orthogonal components enhanced overall fit, but the orthogonal variation was difficult to interpret.
Conclusions
Simulations showed that the O2PLS estimates were close to the true parameters in both low and higher dimensions. In the presence of more noise (50 %), the orthogonal part estimates could not distinguish well between joint and unique variation. The joint estimates were not systematically affected. Simultaneous analysis with O2PLS on metabolome and transcriptome data showed that the LL module, together with VLDL and HDL metabolites, were important for the metabolomic and transcriptomic relation. This is in agreement with an earlier study. In addition more gene expression and metabolites are identified being important for the joint covariation.
doi:10.1186/s12859-015-0854-z
PMCID: PMC4959391  PMID: 26822911
Integration of Omics data; Dimension reduction; Latent variable regression; O2PLS
Qi, Qibin | Kilpeläinen, Tuomas O. | Downer, Mary K. | Tanaka, Toshiko | Smith, Caren E. | Sluijs, Ivonne | Sonestedt, Emily | Chu, Audrey Y. | Renström, Frida | Lin, Xiaochen | Ängquist, Lars H. | Huang, Jinyan | Liu, Zhonghua | Li, Yanping | Asif Ali, Muhammad | Xu, Min | Ahluwalia, Tarunveer Singh | Boer, Jolanda M.A. | Chen, Peng | Daimon, Makoto | Eriksson, Johan | Perola, Markus | Friedlander, Yechiel | Gao, Yu-Tang | Heppe, Denise H.M. | Holloway, John W. | Houston, Denise K. | Kanoni, Stavroula | Kim, Yu-Mi | Laaksonen, Maarit A. | Jääskeläinen, Tiina | Lee, Nanette R. | Lehtimäki, Terho | Lemaitre, Rozenn N. | Lu, Wei | Luben, Robert N. | Manichaikul, Ani | Männistö, Satu | Marques-Vidal, Pedro | Monda, Keri L. | Ngwa, Julius S. | Perusse, Louis | van Rooij, Frank J.A. | Xiang, Yong-Bing | Wen, Wanqing | Wojczynski, Mary K | Zhu, Jingwen | Borecki, Ingrid B. | Bouchard, Claude | Cai, Qiuyin | Cooper, Cyrus | Dedoussis, George V. | Deloukas, Panos | Ferrucci, Luigi | Forouhi, Nita G. | Hansen, Torben | Christiansen, Lene | Hofman, Albert | Johansson, Ingegerd | Jørgensen, Torben | Karasawa, Shigeru | Khaw, Kay-Tee | Kim, Mi-Kyung | Kristiansson, Kati | Li, Huaixing | Lin, Xu | Liu, Yongmei | Lohman, Kurt K. | Long, Jirong | Mikkilä, Vera | Mozaffarian, Dariush | North, Kari | Pedersen, Oluf | Raitakari, Olli | Rissanen, Harri | Tuomilehto, Jaakko | van der Schouw, Yvonne T. | Uitterlinden, André G. | Zillikens, M. Carola | Franco, Oscar H. | Shyong Tai, E. | Ou Shu, Xiao | Siscovick, David S. | Toft, Ulla | Verschuren, W.M. Monique | Vollenweider, Peter | Wareham, Nicholas J. | Witteman, Jacqueline C.M. | Zheng, Wei | Ridker, Paul M. | Kang, Jae H. | Liang, Liming | Jensen, Majken K. | Curhan, Gary C. | Pasquale, Louis R. | Hunter, David J. | Mohlke, Karen L. | Uusitupa, Matti | Cupples, L. Adrienne | Rankinen, Tuomo | Orho-Melander, Marju | Wang, Tao | Chasman, Daniel I. | Franks, Paul W. | Sørensen, Thorkild I.A. | Hu, Frank B. | Loos, Ruth J. F. | Nettleton, Jennifer A. | Qi, Lu
Human Molecular Genetics  2014;23(25):6961-6972.
FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177 330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m2, P = 1.9 × 10−105), and all participants (0.30 [0.30, 0.35] kg/m2, P = 3.6 × 10−107). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10−16), and relative weak associations with lower total energy intake (−6.4 [−10.1, −2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (−0.07 [−0.11, −0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10−9) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.
doi:10.1093/hmg/ddu411
PMCID: PMC4271061  PMID: 25104851

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