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1.  An omics investigation into chronic widespread musculoskeletal pain reveals epiandrosterone sulfate as a potential biomarker 
Pain  2015;156(10):1845-1851.
An “omics” investigation of chronic widespread pain in 2 population samples reveals a genetic variant in CYP3A5 as underlying steroid hormone abnormalities seen in CWP.
Abstract
Chronic widespread musculoskeletal pain (CWP) is common, having a population prevalence of 10%. This study aimed to define the biological basis of the CWP/body mass association by using a systems biology approach. Adult female twins (n = 2444) from the TwinsUK registry who had extensive clinical, anthropometric, and “omic” data were included. Nontargeted metabolomics screening including 324 metabolites was carried out for CWP and body composition using dual-energy X-ray absorptiometry. The biological basis of these associations was explored through a genome-wide association study and replicated in an independent population sample (Cooperative Health Research in the Region of Augsburg [KORA] study, n = 2483). A causal role for the genetic variants identified was sought in CWP using a Mendelian randomisation study design. Fat mass/height2 was the body composition variable most strongly associated with CWP (TwinsUK: P = 2.4 × 10−15 and KORA: P = 1.59 × 10−10). Of 324 metabolites examined, epiandrosterone sulfate (EAS) was highly associated with both CWP (P = 1.05 × 10−09 in TwinsUK and P = 3.70 × 10−06 in KORA) and fat mass/height2. Genome-wide association study of EAS identified imputed single nucleotide polymorphism rs1581492 at 7q22.1 to be strikingly associated with EAS levels (P ≤ 2.49 × 10−78), and this result was replicated in KORA (P = 2.12 × 10−9). Mendelian randomization by rs1581492 genotype showed that EAS is unlikely to be causally related to CWP. Using an agnostic omics approach to focus on the association of CWP with body mass index, we have confirmed a steroid hormone association and identified a genetic variant upstream of the CYP genes, which likely controls this response. This study suggests that steroid hormone abnormalities result from pain rather than causing it, and EAS may provide a biomarker that identifies subgroups at risk of CWP.
doi:10.1097/j.pain.0000000000000200
PMCID: PMC4770329  PMID: 25915148
Chronic pain; Gene; Metabolome; Biomarker; Genome-wide association
2.  The impact of low-frequency and rare variants on lipid levels 
Surakka, Ida | Horikoshi, Momoko | Mägi, Reedik | Sarin, Antti-Pekka | Mahajan, Anubha | Lagou, Vasiliki | Marullo, Letizia | Ferreira, Teresa | Miraglio, Benjamin | Timonen, Sanna | Kettunen, Johannes | Pirinen, Matti | Karjalainen, Juha | Thorleifsson, Gudmar | Hägg, Sara | Hottenga, Jouke-Jan | Isaacs, Aaron | Ladenvall, Claes | Beekman, Marian | Esko, Tõnu | Ried, Janina S | Nelson, Christopher P | Willenborg, Christina | Gustafsson, Stefan | Westra, Harm-Jan | Blades, Matthew | de Craen, Anton JM | de Geus, Eco J | Deelen, Joris | Grallert, Harald | Hamsten, Anders | Havulinna, Aki S. | Hengstenberg, Christian | Houwing-Duistermaat, Jeanine J | Hyppönen, Elina | Karssen, Lennart C | Lehtimäki, Terho | Lyssenko, Valeriya | Magnusson, Patrik KE | Mihailov, Evelin | Müller-Nurasyid, Martina | Mpindi, John-Patrick | Pedersen, Nancy L | Penninx, Brenda WJH | Perola, Markus | Pers, Tune H | Peters, Annette | Rung, Johan | Smit, Johannes H | Steinthorsdottir, Valgerdur | Tobin, Martin D | Tsernikova, Natalia | van Leeuwen, Elisabeth M | Viikari, Jorma S | Willems, Sara M | Willemsen, Gonneke | Schunkert, Heribert | Erdmann, Jeanette | Samani, Nilesh J | Kaprio, Jaakko | Lind, Lars | Gieger, Christian | Metspalu, Andres | Slagboom, P Eline | Groop, Leif | van Duijn, Cornelia M | Eriksson, Johan G | Jula, Antti | Salomaa, Veikko | Boomsma, Dorret I | Power, Christine | Raitakari, Olli T | Ingelsson, Erik | Järvelin, Marjo-Riitta | Stefansson, Kari | Franke, Lude | Ikonen, Elina | Kallioniemi, Olli | Pietiäinen, Vilja | Lindgren, Cecilia M | Thorsteinsdottir, Unnur | Palotie, Aarno | McCarthy, Mark I | Morris, Andrew P | Prokopenko, Inga | Ripatti, Samuli
Nature genetics  2015;47(6):589-597.
Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes imputation in 62,166 samples, we identify association to lipids in 93 loci including 79 previously identified loci with new lead-SNPs, 10 new loci, 15 loci with a low-frequency and 10 loci with missense lead-SNPs, and, 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC, and APOE), or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2), explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for LDL-C and TC. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to re-sequencing.
doi:10.1038/ng.3300
PMCID: PMC4757735  PMID: 25961943
3.  Analysis of Genes Involved in Body Weight Regulation by Targeted Re-Sequencing 
PLoS ONE  2016;11(2):e0147904.
Introduction
Genes involved in body weight regulation that were previously investigated in genome-wide association studies (GWAS) and in animal models were target-enriched followed by massive parallel next generation sequencing.
Methods
We enriched and re-sequenced continuous genomic regions comprising FTO, MC4R, TMEM18, SDCCAG8, TKNS, MSRA and TBC1D1 in a screening sample of 196 extremely obese children and adolescents with age and sex specific body mass index (BMI) ≥ 99th percentile and 176 lean adults (BMI ≤ 15th percentile). 22 variants were confirmed by Sanger sequencing. Genotyping was performed in up to 705 independent obesity trios (extremely obese child and both parents), 243 extremely obese cases and 261 lean adults.
Results and Conclusion
We detected 20 different non-synonymous variants, one frame shift and one nonsense mutation in the 7 continuous genomic regions in study groups of different weight extremes. For SNP Arg695Cys (rs58983546) in TBC1D1 we detected nominal association with obesity (pTDT = 0.03 in 705 trios). Eleven of the variants were rare, thus were only detected heterozygously in up to ten individual(s) of the complete screening sample of 372 individuals. Two of them (in FTO and MSRA) were found in lean individuals, nine in extremely obese. In silico analyses of the 11 variants did not reveal functional implications for the mutations. Concordant with our hypothesis we detected a rare variant that potentially leads to loss of FTO function in a lean individual. For TBC1D1, in contrary to our hypothesis, the loss of function variant (Arg443Stop) was found in an obese individual. Functional in vitro studies are warranted.
doi:10.1371/journal.pone.0147904
PMCID: PMC4734691  PMID: 26828654
4.  Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels 
Kilpeläinen, Tuomas O. | Carli, Jayne F. Martin | Skowronski, Alicja A. | Sun, Qi | Kriebel, Jennifer | Feitosa, Mary F | Hedman, Åsa K. | Drong, Alexander W. | Hayes, James E. | Zhao, Jinghua | Pers, Tune H. | Schick, Ursula | Grarup, Niels | Kutalik, Zoltán | Trompet, Stella | Mangino, Massimo | Kristiansson, Kati | Beekman, Marian | Lyytikäinen, Leo-Pekka | Eriksson, Joel | Henneman, Peter | Lahti, Jari | Tanaka, Toshiko | Luan, Jian'an | Greco M, Fabiola Del | Pasko, Dorota | Renström, Frida | Willems, Sara M. | Mahajan, Anubha | Rose, Lynda M. | Guo, Xiuqing | Liu, Yongmei | Kleber, Marcus E. | Pérusse, Louis | Gaunt, Tom | Ahluwalia, Tarunveer S. | Ju Sung, Yun | Ramos, Yolande F. | Amin, Najaf | Amuzu, Antoinette | Barroso, Inês | Bellis, Claire | Blangero, John | Buckley, Brendan M. | Böhringer, Stefan | I Chen, Yii-Der | de Craen, Anton J. N. | Crosslin, David R. | Dale, Caroline E. | Dastani, Zari | Day, Felix R. | Deelen, Joris | Delgado, Graciela E. | Demirkan, Ayse | Finucane, Francis M. | Ford, Ian | Garcia, Melissa E. | Gieger, Christian | Gustafsson, Stefan | Hallmans, Göran | Hankinson, Susan E. | Havulinna, Aki S | Herder, Christian | Hernandez, Dena | Hicks, Andrew A. | Hunter, David J. | Illig, Thomas | Ingelsson, Erik | Ioan-Facsinay, Andreea | Jansson, John-Olov | Jenny, Nancy S. | Jørgensen, Marit E. | Jørgensen, Torben | Karlsson, Magnus | Koenig, Wolfgang | Kraft, Peter | Kwekkeboom, Joanneke | Laatikainen, Tiina | Ladwig, Karl-Heinz | LeDuc, Charles A. | Lowe, Gordon | Lu, Yingchang | Marques-Vidal, Pedro | Meisinger, Christa | Menni, Cristina | Morris, Andrew P. | Myers, Richard H. | Männistö, Satu | Nalls, Mike A. | Paternoster, Lavinia | Peters, Annette | Pradhan, Aruna D. | Rankinen, Tuomo | Rasmussen-Torvik, Laura J. | Rathmann, Wolfgang | Rice, Treva K. | Brent Richards, J | Ridker, Paul M. | Sattar, Naveed | Savage, David B. | Söderberg, Stefan | Timpson, Nicholas J. | Vandenput, Liesbeth | van Heemst, Diana | Uh, Hae-Won | Vohl, Marie-Claude | Walker, Mark | Wichmann, Heinz-Erich | Widén, Elisabeth | Wood, Andrew R. | Yao, Jie | Zeller, Tanja | Zhang, Yiying | Meulenbelt, Ingrid | Kloppenburg, Margreet | Astrup, Arne | Sørensen, Thorkild I. A. | Sarzynski, Mark A. | Rao, D. C. | Jousilahti, Pekka | Vartiainen, Erkki | Hofman, Albert | Rivadeneira, Fernando | Uitterlinden, André G. | Kajantie, Eero | Osmond, Clive | Palotie, Aarno | Eriksson, Johan G. | Heliövaara, Markku | Knekt, Paul B. | Koskinen, Seppo | Jula, Antti | Perola, Markus | Huupponen, Risto K. | Viikari, Jorma S. | Kähönen, Mika | Lehtimäki, Terho | Raitakari, Olli T. | Mellström, Dan | Lorentzon, Mattias | Casas, Juan P. | Bandinelli, Stefanie | März, Winfried | Isaacs, Aaron | van Dijk, Ko W. | van Duijn, Cornelia M. | Harris, Tamara B. | Bouchard, Claude | Allison, Matthew A. | Chasman, Daniel I. | Ohlsson, Claes | Lind, Lars | Scott, Robert A. | Langenberg, Claudia | Wareham, Nicholas J. | Ferrucci, Luigi | Frayling, Timothy M. | Pramstaller, Peter P. | Borecki, Ingrid B. | Waterworth, Dawn M. | Bergmann, Sven | Waeber, Gérard | Vollenweider, Peter | Vestergaard, Henrik | Hansen, Torben | Pedersen, Oluf | Hu, Frank B. | Eline Slagboom, P | Grallert, Harald | Spector, Tim D. | Jukema, J.W. | Klein, Robert J. | Schadt, Erik E | Franks, Paul W. | Lindgren, Cecilia M. | Leibel, Rudolph L. | Loos, Ruth J. F.
Nature Communications  2016;7:10494.
Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in the leptin (LEP) gene are well known to cause leptin deficiency and severe obesity, no common loci regulating circulating leptin levels have been uncovered. Therefore, we performed a genome-wide association study (GWAS) of circulating leptin levels from 32,161 individuals and followed up loci reaching P<10−6 in 19,979 additional individuals. We identify five loci robustly associated (P<5 × 10−8) with leptin levels in/near LEP, SLC32A1, GCKR, CCNL1 and FTO. Although the association of the FTO obesity locus with leptin levels is abolished by adjustment for BMI, associations of the four other loci are independent of adiposity. The GCKR locus was found associated with multiple metabolic traits in previous GWAS and the CCNL1 locus with birth weight. Knockdown experiments in mouse adipose tissue explants show convincing evidence for adipogenin, a regulator of adipocyte differentiation, as the novel causal gene in the SLC32A1 locus influencing leptin levels. Our findings provide novel insights into the regulation of leptin production by adipose tissue and open new avenues for examining the influence of variation in leptin levels on adiposity and metabolic health.
This meta-analysis of genome-wide association studies identifies four genetic loci associated with circulating leptin levels independent of adiposity. Examination in mouse adipose tissue explants provides functional support for the leptin-associated loci.
doi:10.1038/ncomms10494
PMCID: PMC4740377  PMID: 26833098
5.  New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk 
Lu, Yingchang | Day, Felix R. | Gustafsson, Stefan | Buchkovich, Martin L. | Na, Jianbo | Bataille, Veronique | Cousminer, Diana L. | Dastani, Zari | Drong, Alexander W. | Esko, Tõnu | Evans, David M. | Falchi, Mario | Feitosa, Mary F. | Ferreira, Teresa | Hedman, Åsa K. | Haring, Robin | Hysi, Pirro G. | Iles, Mark M. | Justice, Anne E. | Kanoni, Stavroula | Lagou, Vasiliki | Li, Rui | Li, Xin | Locke, Adam | Lu, Chen | Mägi, Reedik | Perry, John R. B. | Pers, Tune H. | Qi, Qibin | Sanna, Marianna | Schmidt, Ellen M. | Scott, William R. | Shungin, Dmitry | Teumer, Alexander | Vinkhuyzen, Anna A. E. | Walker, Ryan W. | Westra, Harm-Jan | Zhang, Mingfeng | Zhang, Weihua | Zhao, Jing Hua | Zhu, Zhihong | Afzal, Uzma | Ahluwalia, Tarunveer Singh | Bakker, Stephan J. L. | Bellis, Claire | Bonnefond, Amélie | Borodulin, Katja | Buchman, Aron S. | Cederholm, Tommy | Choh, Audrey C. | Choi, Hyung Jin | Curran, Joanne E. | de Groot, Lisette C. P. G. M. | De Jager, Philip L. | Dhonukshe-Rutten, Rosalie A. M. | Enneman, Anke W. | Eury, Elodie | Evans, Daniel S. | Forsen, Tom | Friedrich, Nele | Fumeron, Frédéric | Garcia, Melissa E. | Gärtner, Simone | Han, Bok-Ghee | Havulinna, Aki S. | Hayward, Caroline | Hernandez, Dena | Hillege, Hans | Ittermann, Till | Kent, Jack W. | Kolcic, Ivana | Laatikainen, Tiina | Lahti, Jari | Leach, Irene Mateo | Lee, Christine G. | Lee, Jong-Young | Liu, Tian | Liu, Youfang | Lobbens, Stéphane | Loh, Marie | Lyytikäinen, Leo-Pekka | Medina-Gomez, Carolina | Michaëlsson, Karl | Nalls, Mike A. | Nielson, Carrie M. | Oozageer, Laticia | Pascoe, Laura | Paternoster, Lavinia | Polašek, Ozren | Ripatti, Samuli | Sarzynski, Mark A. | Shin, Chan Soo | Narančić, Nina Smolej | Spira, Dominik | Srikanth, Priya | Steinhagen-Thiessen, Elisabeth | Sung, Yun Ju | Swart, Karin M. A. | Taittonen, Leena | Tanaka, Toshiko | Tikkanen, Emmi | van der Velde, Nathalie | van Schoor, Natasja M. | Verweij, Niek | Wright, Alan F. | Yu, Lei | Zmuda, Joseph M. | Eklund, Niina | Forrester, Terrence | Grarup, Niels | Jackson, Anne U. | Kristiansson, Kati | Kuulasmaa, Teemu | Kuusisto, Johanna | Lichtner, Peter | Luan, Jian'an | Mahajan, Anubha | Männistö, Satu | Palmer, Cameron D. | Ried, Janina S. | Scott, Robert A. | Stancáková, Alena | Wagner, Peter J. | Demirkan, Ayse | Döring, Angela | Gudnason, Vilmundur | Kiel, Douglas P. | Kühnel, Brigitte | Mangino, Massimo | Mcknight, Barbara | Menni, Cristina | O'Connell, Jeffrey R. | Oostra, Ben A. | Shuldiner, Alan R. | Song, Kijoung | Vandenput, Liesbeth | van Duijn, Cornelia M. | Vollenweider, Peter | White, Charles C. | Boehnke, Michael | Boettcher, Yvonne | Cooper, Richard S. | Forouhi, Nita G. | Gieger, Christian | Grallert, Harald | Hingorani, Aroon | Jørgensen, Torben | Jousilahti, Pekka | Kivimaki, Mika | Kumari, Meena | Laakso, Markku | Langenberg, Claudia | Linneberg, Allan | Luke, Amy | Mckenzie, Colin A. | Palotie, Aarno | Pedersen, Oluf | Peters, Annette | Strauch, Konstantin | Tayo, Bamidele O. | Wareham, Nicholas J. | Bennett, David A. | Bertram, Lars | Blangero, John | Blüher, Matthias | Bouchard, Claude | Campbell, Harry | Cho, Nam H. | Cummings, Steven R. | Czerwinski, Stefan A. | Demuth, Ilja | Eckardt, Rahel | Eriksson, Johan G. | Ferrucci, Luigi | Franco, Oscar H. | Froguel, Philippe | Gansevoort, Ron T. | Hansen, Torben | Harris, Tamara B. | Hastie, Nicholas | Heliövaara, Markku | Hofman, Albert | Jordan, Joanne M. | Jula, Antti | Kähönen, Mika | Kajantie, Eero | Knekt, Paul B. | Koskinen, Seppo | Kovacs, Peter | Lehtimäki, Terho | Lind, Lars | Liu, Yongmei | Orwoll, Eric S. | Osmond, Clive | Perola, Markus | Pérusse, Louis | Raitakari, Olli T. | Rankinen, Tuomo | Rao, D. C. | Rice, Treva K. | Rivadeneira, Fernando | Rudan, Igor | Salomaa, Veikko | Sørensen, Thorkild I. A. | Stumvoll, Michael | Tönjes, Anke | Towne, Bradford | Tranah, Gregory J. | Tremblay, Angelo | Uitterlinden, André G. | van der Harst, Pim | Vartiainen, Erkki | Viikari, Jorma S. | Vitart, Veronique | Vohl, Marie-Claude | Völzke, Henry | Walker, Mark | Wallaschofski, Henri | Wild, Sarah | Wilson, James F. | Yengo, Loïc | Bishop, D. Timothy | Borecki, Ingrid B. | Chambers, John C. | Cupples, L. Adrienne | Dehghan, Abbas | Deloukas, Panos | Fatemifar, Ghazaleh | Fox, Caroline | Furey, Terrence S. | Franke, Lude | Han, Jiali | Hunter, David J. | Karjalainen, Juha | Karpe, Fredrik | Kaplan, Robert C. | Kooner, Jaspal S. | McCarthy, Mark I. | Murabito, Joanne M. | Morris, Andrew P. | Bishop, Julia A. N. | North, Kari E. | Ohlsson, Claes | Ong, Ken K. | Prokopenko, Inga | Richards, J. Brent | Schadt, Eric E. | Spector, Tim D. | Widén, Elisabeth | Willer, Cristen J. | Yang, Jian | Ingelsson, Erik | Mohlke, Karen L. | Hirschhorn, Joel N. | Pospisilik, John Andrew | Zillikens, M. Carola | Lindgren, Cecilia | Kilpeläinen, Tuomas Oskari | Loos, Ruth J. F.
Nature Communications  2016;7:10495.
To increase our understanding of the genetic basis of adiposity and its links to cardiometabolic disease risk, we conducted a genome-wide association meta-analysis of body fat percentage (BF%) in up to 100,716 individuals. Twelve loci reached genome-wide significance (P<5 × 10−8), of which eight were previously associated with increased overall adiposity (BMI, BF%) and four (in or near COBLL1/GRB14, IGF2BP1, PLA2G6, CRTC1) were novel associations with BF%. Seven loci showed a larger effect on BF% than on BMI, suggestive of a primary association with adiposity, while five loci showed larger effects on BMI than on BF%, suggesting association with both fat and lean mass. In particular, the loci more strongly associated with BF% showed distinct cross-phenotype association signatures with a range of cardiometabolic traits revealing new insights in the link between adiposity and disease risk.
A genome-wide association meta-analysis study here shows novel genetic loci to be associated to body fat percentage, and describes cross-phenotype association that further demonstrate a close relationship between adiposity and cardiovascular disease risk.
doi:10.1038/ncomms10495
PMCID: PMC4740398  PMID: 26833246
6.  Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study 
Summary
Background
Indian Asians, who make up a quarter of the world’s population, are at high risk of developing type 2 diabetes. We investigated whether DNA methylation is associated with future type 2 diabetes incidence in Indian Asians and whether differences in methylation patterns between Indian Asians and Europeans are associated with, and could be used to predict, differences in the magnitude of risk of developing type 2 diabetes.
Methods
We did a nested case-control study of DNA methylation in Indian Asians and Europeans with incident type 2 diabetes who were identified from the 8-year follow-up of 25 372 participants in the London Life Sciences Prospective Population (LOLIPOP) study. Patients were recruited between May 1, 2002, and Sept 12, 2008. We did epigenome-wide association analysis using samples from Indian Asians with incident type 2 diabetes and age-matched and sex-matched Indian Asian controls, followed by replication testing of top-ranking signals in Europeans. For both discovery and replication, DNA methylation was measured in the baseline blood sample, which was collected before the onset of type 2 diabetes. Epigenome-wide significance was set at p<1 × 10−7. We compared methylation levels between Indian Asian and European controls without type 2 diabetes at baseline to estimate the potential contribution of DNA methylation to increased risk of future type 2 diabetes incidence among Indian Asians.
Findings
1608 (11·9%) of 13 535 Indian Asians and 306 (4·3%) of 7066 Europeans developed type 2 diabetes over a mean of 8·5 years (SD 1·8) of follow-up. The age-adjusted and sex-adjusted incidence of type 2 diabetes was 3·1 times (95% CI 2·8–3·6; p<0·0001) higher among Indian Asians than among Europeans, and remained 2·5 times (2·1–2·9; p<0·0001) higher after adjustment for adiposity, physical activity, family history of type 2 diabetes, and baseline glycaemic measures. The mean absolute difference in methylation level between type 2 diabetes cases and controls ranged from 0·5% (SD 0·1) to 1·1% (0·2). Methylation markers at five loci were associated with future type 2 diabetes incidence; the relative risk per 1% increase in methylation was 1·09 (95% CI 1·07–1·11; p=1·3 × 10−17) for ABCG1, 0·94 (0·92–0·95; p=4·2 × 10−11) for PHOSPHO1, 0·94 (0·92–0·96; p=1·4 × 10−9) for SOCS3, 1·07 (1·04–1·09; p=2·1 × 10−10) for SREBF1, and 0·92 (0·90–0·94; p=1·2 × 10−17) for TXNIP. A methylation score combining results for the five loci was associated with future type 2 diabetes incidence (relative risk quartile 4 vs quartile 1 3·51, 95% CI 2·79–4·42; p=1·3 × 10−26), and was independent of established risk factors. Methylation score was higher among Indian Asians than Europeans (p=1 × 10−34).
Interpretation
DNA methylation might provide new insights into the pathways underlying type 2 diabetes and offer new opportunities for risk stratification and prevention of type 2 diabetes among Indian Asians.
Funding
The European Union, the UK National Institute for Health Research, the Wellcome Trust, the UK Medical Research Council, Action on Hearing Loss, the UK Biotechnology and Biological Sciences Research Council, the Oak Foundation, the Economic and Social Research Council, Helmholtz Zentrum Munchen, the German Research Center for Environmental Health, the German Federal Ministry of Education and Research, the German Center for Diabetes Research, the Munich Center for Health Sciences, the Ministry of Science and Research of the State of North Rhine-Westphalia, and the German Federal Ministry of Health.
doi:10.1016/S2213-8587(15)00127-8
PMCID: PMC4724884  PMID: 26095709
7.  Association of common variants identified by recent genome-wide association studies with obesity in Chinese children: a case-control study 
BMC Medical Genetics  2016;17:7.
Background
Large-scale genome-wide association studies have identified multiple genetic variants that are associated with elevated body mass index (BMI) or the risk of obesity in Caucasian or Asian populations. We examined whether these variants are individually associated with obesity in Chinese children, and also assessed their cumulative effects and predictive value for obesity risk in Chinese children.
Methods
We genotyped 40 single nucleotide polymorphisms (SNPs) and conducted association analyses for 32/40 SNPs with an estimated minor allele frequency >1 % in 2 030 unrelated Chinese children, including 607 normal-weight, 718 overweight, and 705 obese individuals from two cross-sectional study groups. Logistic regression and linear regression under the additive model were used to examine associations, and the area under the receiver operating characteristic curve (AUCROC) was reported as prediction summary.
Results
We identified obesity association for 6 SNPs near SEC16B, RBJ, CDKAL1, TFAP2B, MAP2K5 and FTO (odds ratios (ORs) ranged from 1.19 to 1.41, nominal two-sided P-values < 0.05). Association (Bonferroni corrected) of rs543874 near SEC16B and rs2241423 near MAP2K5 had presumably stronger effects on obesity in Chinese children than in Caucasian populations. Their risk alleles were also associated with BMI standard deviation score (BMI-SDS) variability. We demonstrated the cumulative effects of the 32 SNPs on obesity risk (per risk allele: OR = 1.06, 95 % CI: 1.03-1.11, P = 4.84 × 10-4) and BMI-SDS (β = 0.04, 95 % CI: 0.02-0.06, P = 3.69 × 10-7). The difference in AUCROC for a model with covariates (age, age square, sex and study group) and the model including covariates and all 32 SNPs was 2.8 % (P = 0.0002).
Conclusion
While six SNPs were individually associated with obesity in Chinese children, the 32 common variants identified by recent GWA studies had cumulative effects and resulted in a limited increase in the AUCROC predictive value for childhood obesity.
Electronic supplementary material
The online version of this article (doi:10.1186/s12881-016-0268-4) contains supplementary material, which is available to authorized users.
doi:10.1186/s12881-016-0268-4
PMCID: PMC4724138  PMID: 26800887
Obesity; BMI; Gene; Variant; Children
8.  Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation 
Artigas, María Soler | Wain, Louise V. | Miller, Suzanne | Kheirallah, Abdul Kader | Huffman, Jennifer E. | Ntalla, Ioanna | Shrine, Nick | Obeidat, Ma'en | Trochet, Holly | McArdle, Wendy L. | Alves, Alexessander Couto | Hui, Jennie | Zhao, Jing Hua | Joshi, Peter K. | Teumer, Alexander | Albrecht, Eva | Imboden, Medea | Rawal, Rajesh | Lopez, Lorna M. | Marten, Jonathan | Enroth, Stefan | Surakka, Ida | Polasek, Ozren | Lyytikäinen, Leo-Pekka | Granell, Raquel | Hysi, Pirro G. | Flexeder, Claudia | Mahajan, Anubha | Beilby, John | Bossé, Yohan | Brandsma, Corry-Anke | Campbell, Harry | Gieger, Christian | Gläser, Sven | González, Juan R. | Grallert, Harald | Hammond, Chris J. | Harris, Sarah E. | Hartikainen, Anna-Liisa | Heliövaara, Markku | Henderson, John | Hocking, Lynne | Horikoshi, Momoko | Hutri-Kähönen, Nina | Ingelsson, Erik | Johansson, Åsa | Kemp, John P. | Kolcic, Ivana | Kumar, Ashish | Lind, Lars | Melén, Erik | Musk, Arthur W. | Navarro, Pau | Nickle, David C. | Padmanabhan, Sandosh | Raitakari, Olli T. | Ried, Janina S. | Ripatti, Samuli | Schulz, Holger | Scott, Robert A. | Sin, Don D. | Starr, John M. | Viñuela, Ana | Völzke, Henry | Wild, Sarah H. | Wright, Alan F. | Zemunik, Tatijana | Jarvis, Deborah L. | Spector, Tim D. | Evans, David M. | Lehtimäki, Terho | Vitart, Veronique | Kähönen, Mika | Gyllensten, Ulf | Rudan, Igor | Deary, Ian J. | Karrasch, Stefan | Probst-Hensch, Nicole M. | Heinrich, Joachim | Stubbe, Beate | Wilson, James F. | Wareham, Nicholas J. | James, Alan L. | Morris, Andrew P. | Jarvelin, Marjo-Riitta | Hayward, Caroline | Sayers, Ian | Strachan, David P. | Hall, Ian P. | Tobin, Martin D.
Nature Communications  2015;6:8658.
Lung function measures are used in the diagnosis of chronic obstructive pulmonary disease. In 38,199 European ancestry individuals, we studied genome-wide association of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC with 1000 Genomes Project (phase 1)-imputed genotypes and followed up top associations in 54,550 Europeans. We identify 14 novel loci (P<5 × 10−8) in or near ENSA, RNU5F-1, KCNS3, AK097794, ASTN2, LHX3, CCDC91, TBX3, TRIP11, RIN3, TEKT5, LTBP4, MN1 and AP1S2, and two novel signals at known loci NPNT and GPR126, providing a basis for new understanding of the genetic determinants of these traits and pulmonary diseases in which they are altered.
Genetic and environmental factors impact on lung function, important in the diagnosis of pulmonary diseases. Here the authors use imputation of genotypes to the 1000 Genomes Project reference panel to identify novel, low frequency variants associated with lung function.
doi:10.1038/ncomms9658
PMCID: PMC4686825  PMID: 26635082
9.  Genetic Determinants of Circulating Interleukin-1 Receptor Antagonist Levels and Their Association With Glycemic Traits 
Diabetes  2014;63(12):4343-4359.
The proinflammatory cytokine interleukin (IL)-1β is implicated in the development of insulin resistance and β-cell dysfunction, whereas higher circulating levels of IL-1 receptor antagonist (IL-1RA), an endogenous inhibitor of IL-1β, has been suggested to improve glycemia and β-cell function in patients with type 2 diabetes. To elucidate the protective role of IL-1RA, this study aimed to identify genetic determinants of circulating IL-1RA concentration and to investigate their associations with immunological and metabolic variables related to cardiometabolic risk. In the analysis of seven discovery and four replication cohort studies, two single nucleotide polymorphisms (SNPs) were independently associated with circulating IL-1RA concentration (rs4251961 at the IL1RN locus [n = 13,955, P = 2.76 × 10−21] and rs6759676, closest gene locus IL1F10 [n = 13,994, P = 1.73 × 10−17]). The proportion of the variance in IL-1RA explained by both SNPs combined was 2.0%. IL-1RA–raising alleles of both SNPs were associated with lower circulating C-reactive protein concentration. The IL-1RA–raising allele of rs6759676 was also associated with lower fasting insulin levels and lower HOMA insulin resistance. In conclusion, we show that circulating IL-1RA levels are predicted by two independent SNPs at the IL1RN and IL1F10 loci and that genetically raised IL-1RA may be protective against the development of insulin resistance.
doi:10.2337/db14-0731
PMCID: PMC4237993  PMID: 24969107
10.  Genome-wide association study of kidney function decline in individuals of European descent 
Gorski, Mathias | Tin, Adrienne | Garnaas, Maija | McMahon, Gearoid M. | Chu, Audrey Y. | Tayo, Bamidele O. | Pattaro, Cristian | Teumer, Alexander | Chasman, Daniel I. | Chalmers, John | Hamet, Pavel | Tremblay, Johanne | Woodward, Marc | Aspelund, Thor | Eiriksdottir, Gudny | Gudnason, Vilmundur | Harris, Tammara B. | Launer, Lenore J. | Smith, Albert V. | Mitchell, Braxton D. | O'Connell, Jeffrey R. | Shuldiner, Alan R. | Coresh, Josef | Li, Man | Freudenberger, Paul | Hofer, Edith | Schmidt, Helena | Schmidt, Reinhold | Holliday, Elizabeth G. | Mitchell, Paul | Wang, Jie Jin | de Boer, Ian H. | Li, Guo | Siscovick, David S. | Kutalik, Zoltan | Corre, Tanguy | Vollenweider, Peter | Waeber, Gérard | Gupta, Jayanta | Kanetsky, Peter A. | Hwang, Shih-Jen | Olden, Matthias | Yang, Qiong | de Andrade, Mariza | Atkinson, Elizabeth J. | Kardia, Sharon L.R. | Turner, Stephen T. | Stafford, Jeanette M. | Ding, Jingzhong | Liu, Yongmei | Barlassina, Cristina | Cusi, Daniele | Salvi, Erika | Staessen, Jan A | Ridker, Paul M | Grallert, Harald | Meisinger, Christa | Müller-Nurasyid, Martina | Krämer, Bernhard K. | Kramer, Holly | Rosas, Sylvia E. | Nolte, Ilja M. | Penninx, Brenda W. | Snieder, Harold | Del Greco, Fabiola | Franke, Andre | Nöthlings, Ute | Lieb, Wolfgang | Bakker, Stephan J.L. | Gansevoort, Ron T. | van der Harst, Pim | Dehghan, Abbas | Franco, Oscar H. | Hofman, Albert | Rivadeneira, Fernando | Sedaghat, Sanaz | Uitterlinden, André G. | Coassin, Stefan | Haun, Margot | Kollerits, Barbara | Kronenberg, Florian | Paulweber, Bernhard | Aumann, Nicole | Endlich, Karlhans | Pietzner, Mike | Völker, Uwe | Rettig, Rainer | Chouraki, Vincent | Helmer, Catherine | Lambert, Jean-Charles | Metzger, Marie | Stengel, Benedicte | Lehtimäki, Terho | Lyytikäinen, Leo-Pekka | Raitakari, Olli | Johnson, Andrew | Parsa, Afshin | Bochud, Murielle | Heid, Iris M. | Goessling, Wolfram | Köttgen, Anna | Kao, H. Linda | Fox, Caroline S. | Böger, Carsten A.
Kidney international  2014;87(5):1017-1029.
Genome wide association studies (GWAS) have identified multiple loci associated with cross-sectional eGFR, but a systematic genetic analysis of kidney function decline over time is missing. Here we conducted a GWAS meta-analysis among 63,558 participants of European descent, initially from 16 cohorts with serial kidney function measurements within the CKDGen Consortium, followed by independent replication among additional participants from 13 cohorts. In stage 1 GWAS meta-analysis, SNPs at MEOX2, GALNT11, IL1RAP, NPPA, HPCAL1 and CDH23 showed the strongest associations for at least one trait, in addition to the known UMOD locus which showed genome-wide significance with an annual change in eGFR. In stage 2 meta-analysis, the significant association at UMOD was replicated. Associations at GALNT11 with Rapid Decline (annual eGFRdecline of 3ml/min/1.73m2 or more), and CDH23 with eGFR change among those with CKD showed significant suggestive evidence of replication. Combined stage 1 and 2 meta-analyses showed significance for UMOD, GALNT11 and CDH23. Morpholino knockdowns of galnt11 and cdh23 in zebrafish embryos each had signs of severe edema 72 hours after gentamicin treatment compared to controls, but no gross morphological renal abnormalities before gentamicin administration. Thus, our results suggest a role in the deterioration of kidney function for the loci GALNT11 and CDH23, and show that the UMOD locus is significantly associated with kidney function decline.
doi:10.1038/ki.2014.361
PMCID: PMC4425568  PMID: 25493955
chronic kidney disease; kidney development
11.  Characterization of whole-genome autosomal differences of DNA methylation between men and women 
Background
Disease risk and incidence between males and females reveal differences, and sex is an important component of any investigation of the determinants of phenotypes or disease etiology. Further striking differences between men and women are known, for instance, at the metabolic level. The extent to which men and women vary at the level of the epigenome, however, is not well documented. DNA methylation is the best known epigenetic mechanism to date.
Results
In order to shed light on epigenetic differences, we compared autosomal DNA methylation levels between men and women in blood in a large prospective European cohort of 1799 subjects, and replicated our findings in three independent European cohorts. We identified and validated 1184 CpG sites to be differentially methylated between men and women and observed that these CpG sites were distributed across all autosomes. We showed that some of the differentially methylated loci also exhibit differential gene expression between men and women. Finally, we found that the differentially methylated loci are enriched among imprinted genes, and that their genomic location in the genome is concentrated in CpG island shores.
Conclusion
Our epigenome-wide association study indicates that differences between men and women are so substantial that they should be considered in design and analyses of future studies.
Electronic supplementary material
The online version of this article (doi:10.1186/s13072-015-0035-3) contains supplementary material, which is available to authorized users.
doi:10.1186/s13072-015-0035-3
PMCID: PMC4615866  PMID: 26500701
DNA methylation; EWAS; Sex; Enrichment analysis; CpG; Imprinting; KORA; ALSPAC; EPICOR
12.  Extensive alterations of the whole-blood transcriptome are associated with body mass index: results of an mRNA profiling study involving two large population-based cohorts 
BMC Medical Genomics  2015;8:65.
Background
Obesity, defined as pathologically increased body mass index (BMI), is strongly related to an increased risk for numerous common cardiovascular and metabolic diseases. It is particularly associated with insulin resistance, hyperglycemia, and systemic oxidative stress and represents the most important risk factor for type 2 diabetes (T2D). However, the pathophysiological mechanisms underlying these associations are still not completely understood. Therefore, in order to identify potentially disease-relevant BMI-associated gene expression signatures, a transcriptome-wide association study (TWAS) on BMI was performed.
Methods
Whole-blood mRNA levels determined by array-based transcriptional profiling were correlated with BMI in two large independent population-based cohort studies (KORA F4 and SHIP-TREND) comprising a total of 1977 individuals.
Results
Extensive alterations of the whole-blood transcriptome were associated with BMI: More than 3500 transcripts exhibited significant positive or negative BMI-correlation. Three major whole-blood gene expression signatures associated with increased BMI were identified. The three signatures suggested: i) a ratio shift from mature erythrocytes towards reticulocytes, ii) decreased expression of several genes essentially involved in the transmission and amplification of the insulin signal, and iii) reduced expression of several key genes involved in the defence against reactive oxygen species (ROS).
Conclusions
Whereas the first signature confirms published results, the other two provide possible mechanistic explanations for well-known epidemiological findings under conditions of increased BMI, namely attenuated insulin signaling and increased oxidative stress. The putatively causative BMI-dependent down-regulation of the expression of numerous genes on the mRNA level represents a novel finding. BMI-associated negative transcriptional regulation of insulin signaling and oxidative stress management provide new insights into the pathogenesis of metabolic syndrome and T2D.
Electronic supplementary material
The online version of this article (doi:10.1186/s12920-015-0141-x) contains supplementary material, which is available to authorized users.
doi:10.1186/s12920-015-0141-x
PMCID: PMC4608219  PMID: 26470795
Transcriptomics; Transcriptome-wide association study (TWAS); BMI; Obesity; Insulin resistance; Type 2 diabetes; Oxidative stress; Insulin signaling
13.  The stool microbiota of insulin resistant women with recent gestational diabetes, a high risk group for type 2 diabetes 
Scientific Reports  2015;5:13212.
The gut microbiota has been linked to metabolic diseases. However, information on the microbiome of young adults at risk for type 2 diabetes (T2D) is lacking. The aim of this cross-sectional analysis was to investigate whether insulin resistant women with previous gestational diabetes (pGDM), a high risk group for T2D, differ in their stool microbiota from women after a normoglycemic pregnancy (controls). Bacterial communities were analyzed by high-throughput 16S rRNA gene sequencing using fecal samples from 42 pGDM and 35 control subjects 3–16 months after delivery. Clinical characterization included a 5-point OGTT, anthropometrics, clinical chemistry markers and a food frequency questionnaire. Women with a Prevotellaceae-dominated intestinal microbiome were overrepresented in the pGDM group (p < 0.0001). Additionally, the relative abundance of the phylum Firmicutes was significantly lower in women pGDM (median 48.5 vs. 56.8%; p = 0.013). Taxa richness (alpha diversity) was similar between the two groups and with correction for multiple testing we observed no significant differences on lower taxonomic levels. These results suggest that distinctive features of the intestinal microbiota are already present in young adults at risk for T2D and that further investigations of a potential pathophysiological role of gut bacteria in early T2D development are warranted.
doi:10.1038/srep13212
PMCID: PMC4538691  PMID: 26279179
14.  New genetic loci link adipose and insulin biology to body fat distribution 
Shungin, Dmitry | Winkler, Thomas W | Croteau-Chonka, Damien C | Ferreira, Teresa | Locke, Adam E | Mägi, Reedik | Strawbridge, Rona J | Pers, Tune H | Fischer, Krista | Justice, Anne E | Workalemahu, Tsegaselassie | Wu, Joseph M.W. | Buchkovich, Martin L | Heard-Costa, Nancy L | Roman, Tamara S | Drong, Alexander W | Song, Ci | Gustafsson, Stefan | Day, Felix R | Esko, Tonu | Fall, Tove | Kutalik, Zoltán | Luan, Jian’an | Randall, Joshua C | Scherag, André | Vedantam, Sailaja | Wood, Andrew R | Chen, Jin | Fehrmann, Rudolf | Karjalainen, Juha | Kahali, Bratati | Liu, Ching-Ti | Schmidt, Ellen M | Absher, Devin | Amin, Najaf | Anderson, Denise | Beekman, Marian | Bragg-Gresham, Jennifer L | Buyske, Steven | Demirkan, Ayse | Ehret, Georg B | Feitosa, Mary F | Goel, Anuj | Jackson, Anne U | Johnson, Toby | Kleber, Marcus E | Kristiansson, Kati | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Palmer, Cameron D | Pasko, Dorota | Pechlivanis, Sonali | Peters, Marjolein J | Prokopenko, Inga | Stančáková, Alena | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Van Vliet-Ostaptchouk, Jana V | Yengo, Loïc | Zhang, Weihua | Albrecht, Eva | Ärnlöv, Johan | Arscott, Gillian M | Bandinelli, Stefania | Barrett, Amy | Bellis, Claire | Bennett, Amanda J | Berne, Christian | Blüher, Matthias | Böhringer, Stefan | Bonnet, Fabrice | Böttcher, Yvonne | Bruinenberg, Marcel | Carba, Delia B | Caspersen, Ida H | Clarke, Robert | Daw, E Warwick | Deelen, Joris | Deelman, Ewa | Delgado, Graciela | Doney, Alex SF | Eklund, Niina | Erdos, Michael R | Estrada, Karol | Eury, Elodie | Friedrich, Nele | Garcia, Melissa E | Giedraitis, Vilmantas | Gigante, Bruna | Go, Alan S | Golay, Alain | Grallert, Harald | Grammer, Tanja B | Gräßler, Jürgen | Grewal, Jagvir | Groves, Christopher J | Haller, Toomas | Hallmans, Goran | Hartman, Catharina A | Hassinen, Maija | Hayward, Caroline | Heikkilä, Kauko | Herzig, Karl-Heinz | Helmer, Quinta | Hillege, Hans L | Holmen, Oddgeir | Hunt, Steven C | Isaacs, Aaron | Ittermann, Till | James, Alan L | Johansson, Ingegerd | Juliusdottir, Thorhildur | Kalafati, Ioanna-Panagiota | Kinnunen, Leena | Koenig, Wolfgang | Kooner, Ishminder K | Kratzer, Wolfgang | Lamina, Claudia | Leander, Karin | Lee, Nanette R | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lobbens, Stéphane | Lorentzon, Mattias | Mach, François | Magnusson, Patrik KE | Mahajan, Anubha | McArdle, Wendy L | Menni, Cristina | Merger, Sigrun | Mihailov, Evelin | Milani, Lili | Mills, Rebecca | Moayyeri, Alireza | Monda, Keri L | Mooijaart, Simon P | Mühleisen, Thomas W | Mulas, Antonella | Müller, Gabriele | Müller-Nurasyid, Martina | Nagaraja, Ramaiah | Nalls, Michael A | Narisu, Narisu | Glorioso, Nicola | Nolte, Ilja M | Olden, Matthias | Rayner, Nigel W | Renstrom, Frida | Ried, Janina S | Robertson, Neil R | Rose, Lynda M | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Sennblad, Bengt | Seufferlein, Thomas | Sitlani, Colleen M | Smith, Albert Vernon | Stirrups, Kathleen | Stringham, Heather M | Sundström, Johan | Swertz, Morris A | Swift, Amy J | Syvänen, Ann-Christine | Tayo, Bamidele O | Thorand, Barbara | Thorleifsson, Gudmar | Tomaschitz, Andreas | Troffa, Chiara | van Oort, Floor VA | Verweij, Niek | Vonk, Judith M | Waite, Lindsay L | Wennauer, Roman | Wilsgaard, Tom | Wojczynski, Mary K | Wong, Andrew | Zhang, Qunyuan | Zhao, Jing Hua | Brennan, Eoin P. | Choi, Murim | Eriksson, Per | Folkersen, Lasse | Franco-Cereceda, Anders | Gharavi, Ali G | Hedman, Åsa K | Hivert, Marie-France | Huang, Jinyan | Kanoni, Stavroula | Karpe, Fredrik | Keildson, Sarah | Kiryluk, Krzysztof | Liang, Liming | Lifton, Richard P | Ma, Baoshan | McKnight, Amy J | McPherson, Ruth | Metspalu, Andres | Min, Josine L | Moffatt, Miriam F | Montgomery, Grant W | Murabito, Joanne M | Nicholson, George | Nyholt, Dale R | Olsson, Christian | Perry, John RB | Reinmaa, Eva | Salem, Rany M | Sandholm, Niina | Schadt, Eric E | Scott, Robert A | Stolk, Lisette | Vallejo, Edgar E. | Westra, Harm-Jan | Zondervan, Krina T | Amouyel, Philippe | Arveiler, Dominique | Bakker, Stephan JL | Beilby, John | Bergman, Richard N | Blangero, John | Brown, Morris J | Burnier, Michel | Campbell, Harry | Chakravarti, Aravinda | Chines, Peter S | Claudi-Boehm, Simone | Collins, Francis S | Crawford, Dana C | Danesh, John | de Faire, Ulf | de Geus, Eco JC | Dörr, Marcus | Erbel, Raimund | Eriksson, Johan G | Farrall, Martin | Ferrannini, Ele | Ferrières, Jean | Forouhi, Nita G | Forrester, Terrence | Franco, Oscar H | Gansevoort, Ron T | Gieger, Christian | Gudnason, Vilmundur | Haiman, Christopher A | Harris, Tamara B | Hattersley, Andrew T | Heliövaara, Markku | Hicks, Andrew A | Hingorani, Aroon D | Hoffmann, Wolfgang | Hofman, Albert | Homuth, Georg | Humphries, Steve E | Hyppönen, Elina | Illig, Thomas | Jarvelin, Marjo-Riitta | Johansen, Berit | Jousilahti, Pekka | Jula, Antti M | Kaprio, Jaakko | Kee, Frank | Keinanen-Kiukaanniemi, Sirkka M | Kooner, Jaspal S | Kooperberg, Charles | Kovacs, Peter | Kraja, Aldi T | Kumari, Meena | Kuulasmaa, Kari | Kuusisto, Johanna | Lakka, Timo A | Langenberg, Claudia | Le Marchand, Loic | Lehtimäki, Terho | Lyssenko, Valeriya | Männistö, Satu | Marette, André | Matise, Tara C | McKenzie, Colin A | McKnight, Barbara | Musk, Arthur W | Möhlenkamp, Stefan | Morris, Andrew D | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J | Ong, Ken K | Palmer, Lyle J | Penninx, Brenda W | Peters, Annette | Pramstaller, Peter P | Raitakari, Olli T | Rankinen, Tuomo | Rao, DC | Rice, Treva K | Ridker, Paul M | Ritchie, Marylyn D. | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J | Saramies, Jouko | Sarzynski, Mark A | Schwarz, Peter EH | Shuldiner, Alan R | Staessen, Jan A | Steinthorsdottir, Valgerdur | Stolk, Ronald P | Strauch, Konstantin | Tönjes, Anke | Tremblay, Angelo | Tremoli, Elena | Vohl, Marie-Claude | Völker, Uwe | Vollenweider, Peter | Wilson, James F | Witteman, Jacqueline C | Adair, Linda S | Bochud, Murielle | Boehm, Bernhard O | Bornstein, Stefan R | Bouchard, Claude | Cauchi, Stéphane | Caulfield, Mark J | Chambers, John C | Chasman, Daniel I | Cooper, Richard S | Dedoussis, George | Ferrucci, Luigi | Froguel, Philippe | Grabe, Hans-Jörgen | Hamsten, Anders | Hui, Jennie | Hveem, Kristian | Jöckel, Karl-Heinz | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | März, Winfried | Munroe, Patricia B | Njølstad, Inger | Oostra, Ben A | Palmer, Colin NA | Pedersen, Nancy L | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Rivadeneira, Fernando | Saaristo, Timo E | Saleheen, Danish | Sinisalo, Juha | Slagboom, P Eline | Snieder, Harold | Spector, Tim D | Stefansson, Kari | Stumvoll, Michael | Tuomilehto, Jaakko | Uitterlinden, André G | Uusitupa, Matti | van der Harst, Pim | Veronesi, Giovanni | Walker, Mark | Wareham, Nicholas J | Watkins, Hugh | Wichmann, H-Erich | Abecasis, Goncalo R | Assimes, Themistocles L | Berndt, Sonja I | Boehnke, Michael | Borecki, Ingrid B | Deloukas, Panos | Franke, Lude | Frayling, Timothy M | Groop, Leif C | Hunter, David J. | Kaplan, Robert C | O’Connell, Jeffrey R | Qi, Lu | Schlessinger, David | Strachan, David P | Thorsteinsdottir, Unnur | van Duijn, Cornelia M | Willer, Cristen J | Visscher, Peter M | Yang, Jian | Hirschhorn, Joel N | Zillikens, M Carola | McCarthy, Mark I | Speliotes, Elizabeth K | North, Kari E | Fox, Caroline S | Barroso, Inês | Franks, Paul W | Ingelsson, Erik | Heid, Iris M | Loos, Ruth JF | Cupples, L Adrienne | Morris, Andrew P | Lindgren, Cecilia M | Mohlke, Karen L
Nature  2015;518(7538):187-196.
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10−8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
doi:10.1038/nature14132
PMCID: PMC4338562  PMID: 25673412
15.  Gender-specific pathway differences in the human serum metabolome 
Metabolomics  2015;11(6):1815-1833.
The susceptibility for various diseases as well as the response to treatments differ considerably between men and women. As a basis for a gender-specific personalized healthcare, an extensive characterization of the molecular differences between the two genders is required. In the present study, we conducted a large-scale metabolomics analysis of 507 metabolic markers measured in serum of 1756 participants from the German KORA F4 study (903 females and 853 males). One-third of the metabolites show significant differences between males and females. A pathway analysis revealed strong differences in steroid metabolism, fatty acids and further lipids, a large fraction of amino acids, oxidative phosphorylation, purine metabolism and gamma-glutamyl dipeptides. We then extended this analysis by a network-based clustering approach. Metabolite interactions were estimated using Gaussian graphical models to get an unbiased, fully data-driven metabolic network representation. This approach is not limited to possibly arbitrary pathway boundaries and can even include poorly or uncharacterized metabolites. The network analysis revealed several strongly gender-regulated submodules across different pathways. Finally, a gender-stratified genome-wide association study was performed to determine whether the observed gender differences are caused by dimorphisms in the effects of genetic polymorphisms on the metabolome. With only a single genome-wide significant hit, our results suggest that this scenario is not the case. In summary, we report an extensive characterization and interpretation of gender-specific differences of the human serum metabolome, providing a broad basis for future analyses.
Electronic supplementary material
The online version of this article (doi:10.1007/s11306-015-0829-0) contains supplementary material, which is available to authorized users.
doi:10.1007/s11306-015-0829-0
PMCID: PMC4605991  PMID: 26491425
Epidemiology; Metabolic networks; Metabolomics; Gender differences; Systems biology
16.  Discovery and Fine-Mapping of Glycaemic and Obesity-Related Trait Loci Using High-Density Imputation 
Horikoshi, Momoko | Mӓgi, Reedik | van de Bunt, Martijn | Surakka, Ida | Sarin, Antti-Pekka | Mahajan, Anubha | Marullo, Letizia | Thorleifsson, Gudmar | Hӓgg, Sara | Hottenga, Jouke-Jan | Ladenvall, Claes | Ried, Janina S. | Winkler, Thomas W. | Willems, Sara M. | Pervjakova, Natalia | Esko, Tõnu | Beekman, Marian | Nelson, Christopher P. | Willenborg, Christina | Wiltshire, Steven | Ferreira, Teresa | Fernandez, Juan | Gaulton, Kyle J. | Steinthorsdottir, Valgerdur | Hamsten, Anders | Magnusson, Patrik K. E. | Willemsen, Gonneke | Milaneschi, Yuri | Robertson, Neil R. | Groves, Christopher J. | Bennett, Amanda J. | Lehtimӓki, Terho | Viikari, Jorma S. | Rung, Johan | Lyssenko, Valeriya | Perola, Markus | Heid, Iris M. | Herder, Christian | Grallert, Harald | Müller-Nurasyid, Martina | Roden, Michael | Hypponen, Elina | Isaacs, Aaron | van Leeuwen, Elisabeth M. | Karssen, Lennart C. | Mihailov, Evelin | Houwing-Duistermaat, Jeanine J. | de Craen, Anton J. M. | Deelen, Joris | Havulinna, Aki S. | Blades, Matthew | Hengstenberg, Christian | Erdmann, Jeanette | Schunkert, Heribert | Kaprio, Jaakko | Tobin, Martin D. | Samani, Nilesh J. | Lind, Lars | Salomaa, Veikko | Lindgren, Cecilia M. | Slagboom, P. Eline | Metspalu, Andres | van Duijn, Cornelia M. | Eriksson, Johan G. | Peters, Annette | Gieger, Christian | Jula, Antti | Groop, Leif | Raitakari, Olli T. | Power, Chris | Penninx, Brenda W. J. H. | de Geus, Eco | Smit, Johannes H. | Boomsma, Dorret I. | Pedersen, Nancy L. | Ingelsson, Erik | Thorsteinsdottir, Unnur | Stefansson, Kari | Ripatti, Samuli | Prokopenko, Inga | McCarthy, Mark I. | Morris, Andrew P.
PLoS Genetics  2015;11(7):e1005230.
Reference panels from the 1000 Genomes (1000G) Project Consortium provide near complete coverage of common and low-frequency genetic variation with minor allele frequency ≥0.5% across European ancestry populations. Within the European Network for Genetic and Genomic Epidemiology (ENGAGE) Consortium, we have undertaken the first large-scale meta-analysis of genome-wide association studies (GWAS), supplemented by 1000G imputation, for four quantitative glycaemic and obesity-related traits, in up to 87,048 individuals of European ancestry. We identified two loci for body mass index (BMI) at genome-wide significance, and two for fasting glucose (FG), none of which has been previously reported in larger meta-analysis efforts to combine GWAS of European ancestry. Through conditional analysis, we also detected multiple distinct signals of association mapping to established loci for waist-hip ratio adjusted for BMI (RSPO3) and FG (GCK and G6PC2). The index variant for one association signal at the G6PC2 locus is a low-frequency coding allele, H177Y, which has recently been demonstrated to have a functional role in glucose regulation. Fine-mapping analyses revealed that the non-coding variants most likely to drive association signals at established and novel loci were enriched for overlap with enhancer elements, which for FG mapped to promoter and transcription factor binding sites in pancreatic islets, in particular. Our study demonstrates that 1000G imputation and genetic fine-mapping of common and low-frequency variant association signals at GWAS loci, integrated with genomic annotation in relevant tissues, can provide insight into the functional and regulatory mechanisms through which their effects on glycaemic and obesity-related traits are mediated.
Author Summary
Human genetic studies have demonstrated that quantitative human anthropometric and metabolic traits, including body mass index, waist-hip ratio, and plasma concentrations of glucose and insulin, are highly heritable, and are established risk factors for type 2 diabetes and cardiovascular diseases. Although many regions of the genome have been associated with these traits, the specific genes responsible have not yet been identified. By making use of advanced statistical “imputation” techniques applied to more than 87,000 individuals of European ancestry, and publicly available “reference panels” of more than 37 million genetic variants, we have been able to identify novel regions of the genome associated with these glycaemic and obesity-related traits and localise genes within these regions that are most likely to be causal. This improved understanding of the biological mechanisms underlying glycaemic and obesity-related traits is extremely important because it may advance drug development for downstream disease endpoints, ultimately leading to public health benefits.
doi:10.1371/journal.pgen.1005230
PMCID: PMC4488845  PMID: 26132169
17.  Fine Mapping of a GWAS-Derived Obesity Candidate Region on Chromosome 16p11.2 
PLoS ONE  2015;10(5):e0125660.
Introduction
Large-scale genome-wide association studies (GWASs) have identified 97 chromosomal loci associated with increased body mass index in population-based studies on adults. One of these SNPs, rs7359397, tags a large region (approx. 1MB) with high linkage disequilibrium (r²>0.7), which comprises five genes (SH2B1, APOBR, sulfotransferases: SULT1A1 and SULT1A2, TUFM). We had previously described a rare mutation in SH2B1 solely identified in extremely obese individuals but not in lean controls.
Methods
The coding regions of the genes APOBR, SULT1A1, SULT1A2, and TUFM were screened for mutations (dHPLC, SSCP, Sanger re-sequencing) in 95 extremely obese children and adolescents. Detected non-synonymous variants were genotyped (TaqMan SNP Genotyping, MALDI TOF, PCR-RFLP) in independent large study groups (up to 3,210 extremely obese/overweight cases, 485 lean controls and 615 obesity trios). In silico tools were used for the prediction of potential functional effects of detected variants.
Results
Except for TUFM we detected non-synonymous variants in all screened genes. Two polymorphisms rs180743 (APOBR p.Pro428Ala) and rs3833080 (APOBR p.Gly369_Asp370del9) showed nominal association to (extreme) obesity (uncorrected p = 0.003 and p = 0.002, respectively). In silico analyses predicted a functional implication for rs180743 (APOBR p.Pro428Ala). Both APOBR variants are located in the repetitive region with unknown function.
Conclusion
Variants in APOBR contributed as strongly as variants in SH2B1 to the association with extreme obesity in the chromosomal region chr16p11.2. In silico analyses implied no functional effect of several of the detected variants. Further in vitro or in vivo analyses on the functional implications of the obesity associated variants are warranted.
doi:10.1371/journal.pone.0125660
PMCID: PMC4425372  PMID: 25955518
18.  Cell Specific eQTL Analysis without Sorting Cells 
PLoS Genetics  2015;11(5):e1005223.
The functional consequences of trait associated SNPs are often investigated using expression quantitative trait locus (eQTL) mapping. While trait-associated variants may operate in a cell-type specific manner, eQTL datasets for such cell-types may not always be available. We performed a genome-environment interaction (GxE) meta-analysis on data from 5,683 samples to infer the cell type specificity of whole blood cis-eQTLs. We demonstrate that this method is able to predict neutrophil and lymphocyte specific cis-eQTLs and replicate these predictions in independent cell-type specific datasets. Finally, we show that SNPs associated with Crohn’s disease preferentially affect gene expression within neutrophils, including the archetypal NOD2 locus.
Author Summary
Many variants in the genome, including variants associated with disease, affect the expression of genes. These so-called expression quantitative trait loci (eQTL) can be used to gain insight in the downstream consequences of disease. While it has been shown that many disease-associated variants alter gene expression in a cell-type dependent manner, eQTL datasets for specific cell types may not always be available and their sample size is often limited. We present a method that is able to detect cell type specific effects within eQTL datasets that have been generated from whole tissues (which may be composed of many cell types), in our case whole blood. By combining numerous whole blood datasets through meta-analysis, we show that we are able to detect eQTL effects that are specific for neutrophils and lymphocytes (two blood cell types). Additionally, we show that the variants associated with some diseases may preferentially alter the gene expression in one of these cell types. We conclude that our method is an alternative method to detect cell type specific eQTL effects, that may complement generating cell type specific eQTL datasets and that may be applied on other cell types and tissues as well.
doi:10.1371/journal.pgen.1005223
PMCID: PMC4425538  PMID: 25955312
19.  Mitochondrial GWA Analysis of Lipid Profile Identifies Genetic Variants to Be Associated with HDL Cholesterol and Triglyceride Levels 
PLoS ONE  2015;10(5):e0126294.
It has been suggested that mitochondrial dysfunction has an influence on lipid metabolism. The fact that mitochondrial defects can be accumulated over time as a normal part of aging may explain why cholesterol levels often are altered with age. To test the hypothesis whether mitochondrial variants are associated with lipid profile (total cholesterol, LDL, HDL, and triglycerides) we analyzed a total number of 978 mitochondrial single nucleotide polymorphisms (mtSNPs) in a sample of 2,815 individuals participating in the population-based KORA F4 study. To assess mtSNP association while taking the presence of heteroplasmy into account we used the raw signal intensity values measured on the microarray and applied linear regression. Ten mtSNPs (mt3285, mt3336, mt5285, mt6591, mt6671, mt9163, mt13855, mt13958, mt14000, and mt14580) were significantly associated with HDL cholesterol and one mtSNP (mt15074) with triglycerides levels. These results highlight the importance of the mitochondrial genome among the factors that contribute to the regulation of lipid levels. Focusing on mitochondrial variants may lead to further insights regarding the underlying physiological mechanisms, or even to the development of innovative treatments. Since this is the first mitochondrial genome-wide association analysis (mtGWAS) for lipid profile, further analyses are needed to follow up on the present findings.
doi:10.1371/journal.pone.0126294
PMCID: PMC4422732  PMID: 25945934
20.  Defining the role of common variation in the genomic and biological architecture of adult human height 
Wood, Andrew R | Esko, Tonu | Yang, Jian | Vedantam, Sailaja | Pers, Tune H | Gustafsson, Stefan | Chu, Audrey Y | Estrada, Karol | Luan, Jian’an | Kutalik, Zoltán | Amin, Najaf | Buchkovich, Martin L | Croteau-Chonka, Damien C | Day, Felix R | Duan, Yanan | Fall, Tove | Fehrmann, Rudolf | Ferreira, Teresa | Jackson, Anne U | Karjalainen, Juha | Lo, Ken Sin | Locke, Adam E | Mägi, Reedik | Mihailov, Evelin | Porcu, Eleonora | Randall, Joshua C | Scherag, André | Vinkhuyzen, Anna AE | Westra, Harm-Jan | Winkler, Thomas W | Workalemahu, Tsegaselassie | Zhao, Jing Hua | Absher, Devin | Albrecht, Eva | Anderson, Denise | Baron, Jeffrey | Beekman, Marian | Demirkan, Ayse | Ehret, Georg B | Feenstra, Bjarke | Feitosa, Mary F | Fischer, Krista | Fraser, Ross M | Goel, Anuj | Gong, Jian | Justice, Anne E | Kanoni, Stavroula | Kleber, Marcus E | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Lui, Julian C | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Nalls, Michael A | Nyholt, Dale R | Palmer, Cameron D | Pasko, Dorota | Pechlivanis, Sonali | Prokopenko, Inga | Ried, Janina S | Ripke, Stephan | Shungin, Dmitry | Stancáková, Alena | Strawbridge, Rona J | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Afzal, Uzma | Ärnlöv, Johan | Arscott, Gillian M | Bandinelli, Stefania | Barrett, Amy | Bellis, Claire | Bennett, Amanda J | Berne, Christian | Blüher, Matthias | Bolton, Jennifer L | Böttcher, Yvonne | Boyd, Heather A | Bruinenberg, Marcel | Buckley, Brendan M | Buyske, Steven | Caspersen, Ida H | Chines, Peter S | Clarke, Robert | Claudi-Boehm, Simone | Cooper, Matthew | Daw, E Warwick | De Jong, Pim A | Deelen, Joris | Delgado, Graciela | Denny, Josh C | Dhonukshe-Rutten, Rosalie | Dimitriou, Maria | Doney, Alex SF | Dörr, Marcus | Eklund, Niina | Eury, Elodie | Folkersen, Lasse | Garcia, Melissa E | Geller, Frank | Giedraitis, Vilmantas | Go, Alan S | Grallert, Harald | Grammer, Tanja B | Gräßler, Jürgen | Grönberg, Henrik | de Groot, Lisette C.P.G.M. | Groves, Christopher J | Haessler, Jeffrey | Hall, Per | Haller, Toomas | Hallmans, Goran | Hannemann, Anke | Hartman, Catharina A | Hassinen, Maija | Hayward, Caroline | Heard-Costa, Nancy L | Helmer, Quinta | Hemani, Gibran | Henders, Anjali K | Hillege, Hans L | Hlatky, Mark A | Hoffmann, Wolfgang | Hoffmann, Per | Holmen, Oddgeir | Houwing-Duistermaat, Jeanine J | Illig, Thomas | Isaacs, Aaron | James, Alan L | Jeff, Janina | Johansen, Berit | Johansson, Åsa | Jolley, Jennifer | Juliusdottir, Thorhildur | Junttila, Juhani | Kho, Abel N | Kinnunen, Leena | Klopp, Norman | Kocher, Thomas | Kratzer, Wolfgang | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lobbens, Stéphane | Lorentzon, Mattias | Lu, Yingchang | Lyssenko, Valeriya | Magnusson, Patrik KE | Mahajan, Anubha | Maillard, Marc | McArdle, Wendy L | McKenzie, Colin A | McLachlan, Stela | McLaren, Paul J | Menni, Cristina | Merger, Sigrun | Milani, Lili | Moayyeri, Alireza | Monda, Keri L | Morken, Mario A | Müller, Gabriele | Müller-Nurasyid, Martina | Musk, Arthur W | Narisu, Narisu | Nauck, Matthias | Nolte, Ilja M | Nöthen, Markus M | Oozageer, Laticia | Pilz, Stefan | Rayner, Nigel W | Renstrom, Frida | Robertson, Neil R | Rose, Lynda M | Roussel, Ronan | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Schumacher, Fredrick R | Schunkert, Heribert | Scott, Robert A | Sehmi, Joban | Seufferlein, Thomas | Shi, Jianxin | Silventoinen, Karri | Smit, Johannes H | Smith, Albert Vernon | Smolonska, Joanna | Stanton, Alice V | Stirrups, Kathleen | Stott, David J | Stringham, Heather M | Sundström, Johan | Swertz, Morris A | Syvänen, Ann-Christine | Tayo, Bamidele O | Thorleifsson, Gudmar | Tyrer, Jonathan P | van Dijk, Suzanne | van Schoor, Natasja M | van der Velde, Nathalie | van Heemst, Diana | van Oort, Floor VA | Vermeulen, Sita H | Verweij, Niek | Vonk, Judith M | Waite, Lindsay L | Waldenberger, Melanie | Wennauer, Roman | Wilkens, Lynne R | Willenborg, Christina | Wilsgaard, Tom | Wojczynski, Mary K | Wong, Andrew | Wright, Alan F | Zhang, Qunyuan | Arveiler, Dominique | Bakker, Stephan JL | Beilby, John | Bergman, Richard N | Bergmann, Sven | Biffar, Reiner | Blangero, John | Boomsma, Dorret I | Bornstein, Stefan R | Bovet, Pascal | Brambilla, Paolo | Brown, Morris J | Campbell, Harry | Caulfield, Mark J | Chakravarti, Aravinda | Collins, Rory | Collins, Francis S | Crawford, Dana C | Cupples, L Adrienne | Danesh, John | de Faire, Ulf | den Ruijter, Hester M | Erbel, Raimund | Erdmann, Jeanette | Eriksson, Johan G | Farrall, Martin | Ferrannini, Ele | Ferrières, Jean | Ford, Ian | Forouhi, Nita G | Forrester, Terrence | Gansevoort, Ron T | Gejman, Pablo V | Gieger, Christian | Golay, Alain | Gottesman, Omri | Gudnason, Vilmundur | Gyllensten, Ulf | Haas, David W | Hall, Alistair S | Harris, Tamara B | Hattersley, Andrew T | Heath, Andrew C | Hengstenberg, Christian | Hicks, Andrew A | Hindorff, Lucia A | Hingorani, Aroon D | Hofman, Albert | Hovingh, G Kees | Humphries, Steve E | Hunt, Steven C | Hypponen, Elina | Jacobs, Kevin B | Jarvelin, Marjo-Riitta | Jousilahti, Pekka | Jula, Antti M | Kaprio, Jaakko | Kastelein, John JP | Kayser, Manfred | Kee, Frank | Keinanen-Kiukaanniemi, Sirkka M | Kiemeney, Lambertus A | Kooner, Jaspal S | Kooperberg, Charles | Koskinen, Seppo | Kovacs, Peter | Kraja, Aldi T | Kumari, Meena | Kuusisto, Johanna | Lakka, Timo A | Langenberg, Claudia | Le Marchand, Loic | Lehtimäki, Terho | Lupoli, Sara | Madden, Pamela AF | Männistö, Satu | Manunta, Paolo | Marette, André | Matise, Tara C | McKnight, Barbara | Meitinger, Thomas | Moll, Frans L | Montgomery, Grant W | Morris, Andrew D | Morris, Andrew P | Murray, Jeffrey C | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J | Ong, Ken K | Ouwehand, Willem H | Pasterkamp, Gerard | Peters, Annette | Pramstaller, Peter P | Price, Jackie F | Qi, Lu | Raitakari, Olli T | Rankinen, Tuomo | Rao, DC | Rice, Treva K | Ritchie, Marylyn | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J | Saramies, Jouko | Sarzynski, Mark A | Schwarz, Peter EH | Sebert, Sylvain | Sever, Peter | Shuldiner, Alan R | Sinisalo, Juha | Steinthorsdottir, Valgerdur | Stolk, Ronald P | Tardif, Jean-Claude | Tönjes, Anke | Tremblay, Angelo | Tremoli, Elena | Virtamo, Jarmo | Vohl, Marie-Claude | Amouyel, Philippe | Asselbergs, Folkert W | Assimes, Themistocles L | Bochud, Murielle | Boehm, Bernhard O | Boerwinkle, Eric | Bottinger, Erwin P | Bouchard, Claude | Cauchi, Stéphane | Chambers, John C | Chanock, Stephen J | Cooper, Richard S | de Bakker, Paul IW | Dedoussis, George | Ferrucci, Luigi | Franks, Paul W | Froguel, Philippe | Groop, Leif C | Haiman, Christopher A | Hamsten, Anders | Hayes, M Geoffrey | Hui, Jennie | Hunter, David J. | Hveem, Kristian | Jukema, J Wouter | Kaplan, Robert C | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | Martin, Nicholas G | März, Winfried | Melbye, Mads | Moebus, Susanne | Munroe, Patricia B | Njølstad, Inger | Oostra, Ben A | Palmer, Colin NA | Pedersen, Nancy L | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Powell, Joseph E | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Reinmaa, Eva | Ridker, Paul M | Rivadeneira, Fernando | Rotter, Jerome I | Saaristo, Timo E | Saleheen, Danish | Schlessinger, David | Slagboom, P Eline | Snieder, Harold | Spector, Tim D | Strauch, Konstantin | Stumvoll, Michael | Tuomilehto, Jaakko | Uusitupa, Matti | van der Harst, Pim | Völzke, Henry | Walker, Mark | Wareham, Nicholas J | Watkins, Hugh | Wichmann, H-Erich | Wilson, James F | Zanen, Pieter | Deloukas, Panos | Heid, Iris M | Lindgren, Cecilia M | Mohlke, Karen L | Speliotes, Elizabeth K | Thorsteinsdottir, Unnur | Barroso, Inês | Fox, Caroline S | North, Kari E | Strachan, David P | Beckmann, Jacques S. | Berndt, Sonja I | Boehnke, Michael | Borecki, Ingrid B | McCarthy, Mark I | Metspalu, Andres | Stefansson, Kari | Uitterlinden, André G | van Duijn, Cornelia M | Franke, Lude | Willer, Cristen J | Price, Alkes L. | Lettre, Guillaume | Loos, Ruth JF | Weedon, Michael N | Ingelsson, Erik | O’Connell, Jeffrey R | Abecasis, Goncalo R | Chasman, Daniel I | Goddard, Michael E | Visscher, Peter M | Hirschhorn, Joel N | Frayling, Timothy M
Nature genetics  2014;46(11):1173-1186.
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explain one-fifth of heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ~2,000, ~3,700 and ~9,500 SNPs explained ~21%, ~24% and ~29% of phenotypic variance. Furthermore, all common variants together captured the majority (60%) of heritability. The 697 variants clustered in 423 loci enriched for genes, pathways, and tissue-types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin, and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
doi:10.1038/ng.3097
PMCID: PMC4250049  PMID: 25282103
21.  Defining the role of common variation in the genomic and biological architecture of adult human height 
Wood, Andrew R | Esko, Tonu | Yang, Jian | Vedantam, Sailaja | Pers, Tune H | Gustafsson, Stefan | Chu, Audrey Y | Estrada, Karol | Luan, Jian’an | Kutalik, Zoltán | Amin, Najaf | Buchkovich, Martin L | Croteau-Chonka, Damien C | Day, Felix R | Duan, Yanan | Fall, Tove | Fehrmann, Rudolf | Ferreira, Teresa | Jackson, Anne U | Karjalainen, Juha | Lo, Ken Sin | Locke, Adam E | Mägi, Reedik | Mihailov, Evelin | Porcu, Eleonora | Randall, Joshua C | Scherag, André | Vinkhuyzen, Anna AE | Westra, Harm-Jan | Winkler, Thomas W | Workalemahu, Tsegaselassie | Zhao, Jing Hua | Absher, Devin | Albrecht, Eva | Anderson, Denise | Baron, Jeffrey | Beekman, Marian | Demirkan, Ayse | Ehret, Georg B | Feenstra, Bjarke | Feitosa, Mary F | Fischer, Krista | Fraser, Ross M | Goel, Anuj | Gong, Jian | Justice, Anne E | Kanoni, Stavroula | Kleber, Marcus E | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Lui, Julian C | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Nalls, Michael A | Nyholt, Dale R | Palmer, Cameron D | Pasko, Dorota | Pechlivanis, Sonali | Prokopenko, Inga | Ried, Janina S | Ripke, Stephan | Shungin, Dmitry | Stancáková, Alena | Strawbridge, Rona J | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Afzal, Uzma | Ärnlöv, Johan | Arscott, Gillian M | Bandinelli, Stefania | Barrett, Amy | Bellis, Claire | Bennett, Amanda J | Berne, Christian | Blüher, Matthias | Bolton, Jennifer L | Böttcher, Yvonne | Boyd, Heather A | Bruinenberg, Marcel | Buckley, Brendan M | Buyske, Steven | Caspersen, Ida H | Chines, Peter S | Clarke, Robert | Claudi-Boehm, Simone | Cooper, Matthew | Daw, E Warwick | De Jong, Pim A | Deelen, Joris | Delgado, Graciela | Denny, Josh C | Dhonukshe-Rutten, Rosalie | Dimitriou, Maria | Doney, Alex SF | Dörr, Marcus | Eklund, Niina | Eury, Elodie | Folkersen, Lasse | Garcia, Melissa E | Geller, Frank | Giedraitis, Vilmantas | Go, Alan S | Grallert, Harald | Grammer, Tanja B | Gräßler, Jürgen | Grönberg, Henrik | de Groot, Lisette C.P.G.M. | Groves, Christopher J | Haessler, Jeffrey | Hall, Per | Haller, Toomas | Hallmans, Goran | Hannemann, Anke | Hartman, Catharina A | Hassinen, Maija | Hayward, Caroline | Heard-Costa, Nancy L | Helmer, Quinta | Hemani, Gibran | Henders, Anjali K | Hillege, Hans L | Hlatky, Mark A | Hoffmann, Wolfgang | Hoffmann, Per | Holmen, Oddgeir | Houwing-Duistermaat, Jeanine J | Illig, Thomas | Isaacs, Aaron | James, Alan L | Jeff, Janina | Johansen, Berit | Johansson, Åsa | Jolley, Jennifer | Juliusdottir, Thorhildur | Junttila, Juhani | Kho, Abel N | Kinnunen, Leena | Klopp, Norman | Kocher, Thomas | Kratzer, Wolfgang | Lichtner, Peter | Lind, Lars | Lindström, Jaana | Lobbens, Stéphane | Lorentzon, Mattias | Lu, Yingchang | Lyssenko, Valeriya | Magnusson, Patrik KE | Mahajan, Anubha | Maillard, Marc | McArdle, Wendy L | McKenzie, Colin A | McLachlan, Stela | McLaren, Paul J | Menni, Cristina | Merger, Sigrun | Milani, Lili | Moayyeri, Alireza | Monda, Keri L | Morken, Mario A | Müller, Gabriele | Müller-Nurasyid, Martina | Musk, Arthur W | Narisu, Narisu | Nauck, Matthias | Nolte, Ilja M | Nöthen, Markus M | Oozageer, Laticia | Pilz, Stefan | Rayner, Nigel W | Renstrom, Frida | Robertson, Neil R | Rose, Lynda M | Roussel, Ronan | Sanna, Serena | Scharnagl, Hubert | Scholtens, Salome | Schumacher, Fredrick R | Schunkert, Heribert | Scott, Robert A | Sehmi, Joban | Seufferlein, Thomas | Shi, Jianxin | Silventoinen, Karri | Smit, Johannes H | Smith, Albert Vernon | Smolonska, Joanna | Stanton, Alice V | Stirrups, Kathleen | Stott, David J | Stringham, Heather M | Sundström, Johan | Swertz, Morris A | Syvänen, Ann-Christine | Tayo, Bamidele O | Thorleifsson, Gudmar | Tyrer, Jonathan P | van Dijk, Suzanne | van Schoor, Natasja M | van der Velde, Nathalie | van Heemst, Diana | van Oort, Floor VA | Vermeulen, Sita H | Verweij, Niek | Vonk, Judith M | Waite, Lindsay L | Waldenberger, Melanie | Wennauer, Roman | Wilkens, Lynne R | Willenborg, Christina | Wilsgaard, Tom | Wojczynski, Mary K | Wong, Andrew | Wright, Alan F | Zhang, Qunyuan | Arveiler, Dominique | Bakker, Stephan JL | Beilby, John | Bergman, Richard N | Bergmann, Sven | Biffar, Reiner | Blangero, John | Boomsma, Dorret I | Bornstein, Stefan R | Bovet, Pascal | Brambilla, Paolo | Brown, Morris J | Campbell, Harry | Caulfield, Mark J | Chakravarti, Aravinda | Collins, Rory | Collins, Francis S | Crawford, Dana C | Cupples, L Adrienne | Danesh, John | de Faire, Ulf | den Ruijter, Hester M | Erbel, Raimund | Erdmann, Jeanette | Eriksson, Johan G | Farrall, Martin | Ferrannini, Ele | Ferrières, Jean | Ford, Ian | Forouhi, Nita G | Forrester, Terrence | Gansevoort, Ron T | Gejman, Pablo V | Gieger, Christian | Golay, Alain | Gottesman, Omri | Gudnason, Vilmundur | Gyllensten, Ulf | Haas, David W | Hall, Alistair S | Harris, Tamara B | Hattersley, Andrew T | Heath, Andrew C | Hengstenberg, Christian | Hicks, Andrew A | Hindorff, Lucia A | Hingorani, Aroon D | Hofman, Albert | Hovingh, G Kees | Humphries, Steve E | Hunt, Steven C | Hypponen, Elina | Jacobs, Kevin B | Jarvelin, Marjo-Riitta | Jousilahti, Pekka | Jula, Antti M | Kaprio, Jaakko | Kastelein, John JP | Kayser, Manfred | Kee, Frank | Keinanen-Kiukaanniemi, Sirkka M | Kiemeney, Lambertus A | Kooner, Jaspal S | Kooperberg, Charles | Koskinen, Seppo | Kovacs, Peter | Kraja, Aldi T | Kumari, Meena | Kuusisto, Johanna | Lakka, Timo A | Langenberg, Claudia | Le Marchand, Loic | Lehtimäki, Terho | Lupoli, Sara | Madden, Pamela AF | Männistö, Satu | Manunta, Paolo | Marette, André | Matise, Tara C | McKnight, Barbara | Meitinger, Thomas | Moll, Frans L | Montgomery, Grant W | Morris, Andrew D | Morris, Andrew P | Murray, Jeffrey C | Nelis, Mari | Ohlsson, Claes | Oldehinkel, Albertine J | Ong, Ken K | Ouwehand, Willem H | Pasterkamp, Gerard | Peters, Annette | Pramstaller, Peter P | Price, Jackie F | Qi, Lu | Raitakari, Olli T | Rankinen, Tuomo | Rao, DC | Rice, Treva K | Ritchie, Marylyn | Rudan, Igor | Salomaa, Veikko | Samani, Nilesh J | Saramies, Jouko | Sarzynski, Mark A | Schwarz, Peter EH | Sebert, Sylvain | Sever, Peter | Shuldiner, Alan R | Sinisalo, Juha | Steinthorsdottir, Valgerdur | Stolk, Ronald P | Tardif, Jean-Claude | Tönjes, Anke | Tremblay, Angelo | Tremoli, Elena | Virtamo, Jarmo | Vohl, Marie-Claude | Amouyel, Philippe | Asselbergs, Folkert W | Assimes, Themistocles L | Bochud, Murielle | Boehm, Bernhard O | Boerwinkle, Eric | Bottinger, Erwin P | Bouchard, Claude | Cauchi, Stéphane | Chambers, John C | Chanock, Stephen J | Cooper, Richard S | de Bakker, Paul IW | Dedoussis, George | Ferrucci, Luigi | Franks, Paul W | Froguel, Philippe | Groop, Leif C | Haiman, Christopher A | Hamsten, Anders | Hayes, M Geoffrey | Hui, Jennie | Hunter, David J. | Hveem, Kristian | Jukema, J Wouter | Kaplan, Robert C | Kivimaki, Mika | Kuh, Diana | Laakso, Markku | Liu, Yongmei | Martin, Nicholas G | März, Winfried | Melbye, Mads | Moebus, Susanne | Munroe, Patricia B | Njølstad, Inger | Oostra, Ben A | Palmer, Colin NA | Pedersen, Nancy L | Perola, Markus | Pérusse, Louis | Peters, Ulrike | Powell, Joseph E | Power, Chris | Quertermous, Thomas | Rauramaa, Rainer | Reinmaa, Eva | Ridker, Paul M | Rivadeneira, Fernando | Rotter, Jerome I | Saaristo, Timo E | Saleheen, Danish | Schlessinger, David | Slagboom, P Eline | Snieder, Harold | Spector, Tim D | Strauch, Konstantin | Stumvoll, Michael | Tuomilehto, Jaakko | Uusitupa, Matti | van der Harst, Pim | Völzke, Henry | Walker, Mark | Wareham, Nicholas J | Watkins, Hugh | Wichmann, H-Erich | Wilson, James F | Zanen, Pieter | Deloukas, Panos | Heid, Iris M | Lindgren, Cecilia M | Mohlke, Karen L | Speliotes, Elizabeth K | Thorsteinsdottir, Unnur | Barroso, Inês | Fox, Caroline S | North, Kari E | Strachan, David P | Beckmann, Jacques S. | Berndt, Sonja I | Boehnke, Michael | Borecki, Ingrid B | McCarthy, Mark I | Metspalu, Andres | Stefansson, Kari | Uitterlinden, André G | van Duijn, Cornelia M | Franke, Lude | Willer, Cristen J | Price, Alkes L. | Lettre, Guillaume | Loos, Ruth JF | Weedon, Michael N | Ingelsson, Erik | O’Connell, Jeffrey R | Abecasis, Goncalo R | Chasman, Daniel I | Goddard, Michael E | Visscher, Peter M | Hirschhorn, Joel N | Frayling, Timothy M
Nature genetics  2014;46(11):1173-1186.
Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explain one-fifth of heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ~2,000, ~3,700 and ~9,500 SNPs explained ~21%, ~24% and ~29% of phenotypic variance. Furthermore, all common variants together captured the majority (60%) of heritability. The 697 variants clustered in 423 loci enriched for genes, pathways, and tissue-types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin, and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
doi:10.1038/ng.3097
PMCID: PMC4250049  PMID: 25282103
22.  Genetic variation at MECOM, TERT, JAK2 and HBS1L-MYB predisposes to myeloproliferative neoplasms 
Nature Communications  2015;6:6691.
Clonal proliferation in myeloproliferative neoplasms (MPN) is driven by somatic mutations in JAK2, CALR or MPL, but the contribution of inherited factors is poorly characterized. Using a three-stage genome-wide association study of 3,437 MPN cases and 10,083 controls, we identify two SNPs with genome-wide significance in JAK2V617F-negative MPN: rs12339666 (JAK2; meta-analysis P=1.27 × 10−10) and rs2201862 (MECOM; meta-analysis P=1.96 × 10−9). Two additional SNPs, rs2736100 (TERT) and rs9376092 (HBS1L/MYB), achieve genome-wide significance when including JAK2V617F-positive cases. rs9376092 has a stronger effect in JAK2V617F-negative cases with CALR and/or MPL mutations (Breslow–Day P=4.5 × 10−7), whereas in JAK2V617F-positive cases rs9376092 associates with essential thrombocythemia (ET) rather than polycythemia vera (allelic χ2 P=7.3 × 10−7). Reduced MYB expression, previously linked to development of an ET-like disease in model systems, associates with rs9376092 in normal myeloid cells. These findings demonstrate that multiple germline variants predispose to MPN and link constitutional differences in MYB expression to disease phenotype.
Somatic mutations drive the clonal proliferation of myeloproliferative neoplasms. Here the authors conduct a genome-wide association study and identify germline variation at multiple loci associated with the development and disease phenotype of these cancers.
doi:10.1038/ncomms7691
PMCID: PMC4396373  PMID: 25849990
23.  Genetic studies of body mass index yield new insights for obesity biology 
Locke, Adam E. | Kahali, Bratati | Berndt, Sonja I. | Justice, Anne E. | Pers, Tune H. | Day, Felix R. | Powell, Corey | Vedantam, Sailaja | Buchkovich, Martin L. | Yang, Jian | Croteau-Chonka, Damien C. | Esko, Tonu | Fall, Tove | Ferreira, Teresa | Gustafsson, Stefan | Kutalik, Zoltán | Luan, Jian’an | Mägi, Reedik | Randall, Joshua C. | Winkler, Thomas W. | Wood, Andrew R. | Workalemahu, Tsegaselassie | Faul, Jessica D. | Smith, Jennifer A. | Zhao, Jing Hua | Zhao, Wei | Chen, Jin | Fehrmann, Rudolf | Hedman, Åsa K. | Karjalainen, Juha | Schmidt, Ellen M. | Absher, Devin | Amin, Najaf | Anderson, Denise | Beekman, Marian | Bolton, Jennifer L. | Bragg-Gresham, Jennifer L. | Buyske, Steven | Demirkan, Ayse | Deng, Guohong | Ehret, Georg B. | Feenstra, Bjarke | Feitosa, Mary F. | Fischer, Krista | Goel, Anuj | Gong, Jian | Jackson, Anne U. | Kanoni, Stavroula | Kleber, Marcus E. | Kristiansson, Kati | Lim, Unhee | Lotay, Vaneet | Mangino, Massimo | Leach, Irene Mateo | Medina-Gomez, Carolina | Medland, Sarah E. | Nalls, Michael A. | Palmer, Cameron D. | Pasko, Dorota | Pechlivanis, Sonali | Peters, Marjolein J. | Prokopenko, Inga | Shungin, Dmitry | Stančáková, Alena | Strawbridge, Rona J. | Sung, Yun Ju | Tanaka, Toshiko | Teumer, Alexander | Trompet, Stella | van der Laan, Sander W. | van Setten, Jessica | Van Vliet-Ostaptchouk, Jana V. | Wang, Zhaoming | Yengo, Loïc | Zhang, Weihua | Isaacs, Aaron | Albrecht, Eva | Ärnlöv, Johan | Arscott, Gillian M. | Attwood, Antony P. | Bandinelli, Stefania | Barrett, Amy | Bas, Isabelita N. | Bellis, Claire | Bennett, Amanda J. | Berne, Christian | Blagieva, Roza | Blüher, Matthias | Böhringer, Stefan | Bonnycastle, Lori L. | Böttcher, Yvonne | Boyd, Heather A. | Bruinenberg, Marcel | Caspersen, Ida H. | Chen, Yii-Der Ida | Clarke, Robert | Daw, E. Warwick | de Craen, Anton J. M. | Delgado, Graciela | Dimitriou, Maria | Doney, Alex S. 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Nature  2015;518(7538):197-206.
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10−8), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ~2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
doi:10.1038/nature14177
PMCID: PMC4382211  PMID: 25673413
24.  A Meta-analysis of Gene Expression Signatures of Blood Pressure and Hypertension 
PLoS Genetics  2015;11(3):e1005035.
Genome-wide association studies (GWAS) have uncovered numerous genetic variants (SNPs) that are associated with blood pressure (BP). Genetic variants may lead to BP changes by acting on intermediate molecular phenotypes such as coded protein sequence or gene expression, which in turn affect BP variability. Therefore, characterizing genes whose expression is associated with BP may reveal cellular processes involved in BP regulation and uncover how transcripts mediate genetic and environmental effects on BP variability. A meta-analysis of results from six studies of global gene expression profiles of BP and hypertension in whole blood was performed in 7017 individuals who were not receiving antihypertensive drug treatment. We identified 34 genes that were differentially expressed in relation to BP (Bonferroni-corrected p<0.05). Among these genes, FOS and PTGS2 have been previously reported to be involved in BP-related processes; the others are novel. The top BP signature genes in aggregate explain 5%–9% of inter-individual variance in BP. Of note, rs3184504 in SH2B3, which was also reported in GWAS to be associated with BP, was found to be a trans regulator of the expression of 6 of the transcripts we found to be associated with BP (FOS, MYADM, PP1R15A, TAGAP, S100A10, and FGBP2). Gene set enrichment analysis suggested that the BP-related global gene expression changes include genes involved in inflammatory response and apoptosis pathways. Our study provides new insights into molecular mechanisms underlying BP regulation, and suggests novel transcriptomic markers for the treatment and prevention of hypertension.
Author Summary
The focus of blood pressure (BP) GWAS has been the identification of common DNA sequence variants associated with the phenotype; this approach provides only one dimension of molecular information about BP. While it is a critical dimension, analyzing DNA variation alone is not sufficient for achieving an understanding of the multidimensional complexity of BP physiology. The top loci identified by GWAS explain only about 1 percent of inter-individual BP variability. In this study, we performed a meta-analysis of gene expression profiles in relation to BP and hypertension in 7017 individuals from six studies. We identified 34 differentially expressed genes for BP, and discovered that the top BP signature genes explain 5%–9% of BP variability. We further linked BP gene expression signature genes with BP GWAS results by integrating expression associated SNPs (eSNPs) and discovered that one of the top BP loci from GWAS, rs3184504 in SH2B3, is a trans regulator of expression of 6 of the top 34 BP signature genes. Our study, in conjunction with prior GWAS, provides a deeper understanding of the molecular and genetic basis of BP regulation, and identifies several potential targets and pathways for the treatment and prevention of hypertension and its sequelae.
doi:10.1371/journal.pgen.1005035
PMCID: PMC4365001  PMID: 25785607
25.  Multi-omic signature of body weight change: results from a population-based cohort study 
BMC Medicine  2015;13:48.
Background
Excess body weight is a major risk factor for cardiometabolic diseases. The complex molecular mechanisms of body weight change-induced metabolic perturbations are not fully understood. Specifically, in-depth molecular characterization of long-term body weight change in the general population is lacking. Here, we pursued a multi-omic approach to comprehensively study metabolic consequences of body weight change during a seven-year follow-up in a large prospective study.
Methods
We used data from the population-based Cooperative Health Research in the Region of Augsburg (KORA) S4/F4 cohort. At follow-up (F4), two-platform serum metabolomics and whole blood gene expression measurements were obtained for 1,631 and 689 participants, respectively. Using weighted correlation network analysis, omics data were clustered into modules of closely connected molecules, followed by the formation of a partial correlation network from the modules. Association of the omics modules with previous annual percentage weight change was then determined using linear models. In addition, we performed pathway enrichment analyses, stability analyses, and assessed the relation of the omics modules with clinical traits.
Results
Four metabolite and two gene expression modules were significantly and stably associated with body weight change (P-values ranging from 1.9 × 10−4 to 1.2 × 10−24). The four metabolite modules covered major branches of metabolism, with VLDL, LDL and large HDL subclasses, triglycerides, branched-chain amino acids and markers of energy metabolism among the main representative molecules. One gene expression module suggests a role of weight change in red blood cell development. The other gene expression module largely overlaps with the lipid-leukocyte (LL) module previously reported to interact with serum metabolites, for which we identify additional co-expressed genes. The omics modules were interrelated and showed cross-sectional associations with clinical traits. Moreover, weight gain and weight loss showed largely opposing associations with the omics modules.
Conclusions
Long-term weight change in the general population globally associates with serum metabolite concentrations. An integrated metabolomics and transcriptomics approach improved the understanding of molecular mechanisms underlying the association of weight gain with changes in lipid and amino acid metabolism, insulin sensitivity, mitochondrial function as well as blood cell development and function.
Electronic supplementary material
The online version of this article (doi:10.1186/s12916-015-0282-y) contains supplementary material, which is available to authorized users.
doi:10.1186/s12916-015-0282-y
PMCID: PMC4367822  PMID: 25857605
Metabolomics; Transcriptomics; Weight change; Obesity; Molecular epidemiology; Bioinformatics

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