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Genetic studies of body mass index yield new insights for obesity biology
Open accessAbstract
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.
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“and that the majority of genetic variation associated with BMI is in the central nervous system (CNS) [10]”
From Dual and Triple Incretin-Based Co-agonists: Novel Therapeutics for Obesity and Diabetes (2024) · cites this paper as [10]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Multiple lines of evidence from evolutionary history, genetic and twin studies, support a genetic basis for obesity and differences in obese and lean phenotypes in women with PCOS [183,184,185,186].”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [184]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
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“as well as with many physical diseases, such as obesity186, type 2 diabetes mellitus187, and heart disease188.”
From Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management (2023) · cites this paper as [186]
In the citing paper
“In our cohort, these SNPs collectively explained 2.1% variation in BMI (P=1.66×10−5), 3.4% in triglycerides (P=3.22×10−8), 7.5% in HDL (P<2.2×10−16), 4.6% in LDL (P=8.0×10−11), and 5.6% in TC (P=7.7×10−13), after correcting for age and sex.”
From The Gut Microbiome Contributes to a Substantial Proportion of the Variation in Blood Lipids (2015) · cites this paper as [34]
In the citing paper
“It should be noted, however, that the genetic risk score was limited to our established 157 lipid-associated SNPs33 and 97 BMI-associated SNPs,34 which together only explain a small proportion of the heritability of lipid levels. We might have missed the effect of other, not yet discovered SNPs.”
From The Gut Microbiome Contributes to a Substantial Proportion of the Variation in Blood Lipids (2015) · cites this paper as [34]
In the citing paper
“The most recent and largest genome wide association study (GWAS) on BMI identified 97 independent genetic variants associated with BMI”
From Causal relationship between obesity and serum testosterone status in men: A bi-directional mendelian randomization analysis (2017) · cites this paper as [17]
In the citing paper
“For the two autosomal SNPs it was possible to use the GIANT consortium, including up to 104349 men, to evaluate the causal effect of serum T on BMI in a larger setting. However, no significant evidence was found supporting that any of these T SNPs were associated with BMI individually, or when combined as a genetic risk score (S6 Table).”
From Causal relationship between obesity and serum testosterone status in men: A bi-directional mendelian randomization analysis (2017) · cites this paper as [17]
In the citing paper
“In the present study, there was a small overlap (less than 2%), between the cohorts used in the present study and the study by Locke et al that identified the BMI-associated SNPs[17].”
From Causal relationship between obesity and serum testosterone status in men: A bi-directional mendelian randomization analysis (2017) · cites this paper as [17]
In the citing paper
“From the original papers it can be seen that the instrument for adult BMI is stronger than for the other traits (the respective R 2 for adult BMI, birthweight, child BMI and WHR, are: 0.027, 0.008, 0.020 and 0.013;”
From Commentary: Two-sample Mendelian randomization: opportunities and challenges (2016) · cites this paper as [20]
In the citing paper
“For adult BMI, sex differences were reported and marked differences were found for two of the 77 variants (stronger associations in women compared with men).”
From Commentary: Two-sample Mendelian randomization: opportunities and challenges (2016) · cites this paper as [20]
In the citing paper
“Interestingly, although Gao et al. use the most up-to-date BMI GWAS data, 20 they do not do the same for WHR, despite the most recent GWAS for WHR adjusted for BMI identifying 33 additional variants (as well as confirming the 14 used here from the earlier GWAS) and being published around the same time as the most up-to-date BMI GWAS.”
From Commentary: Two-sample Mendelian randomization: opportunities and challenges (2016) · cites this paper as [20]
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Citations
Cites
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data
Wang, K., Li, M., & Hakonarson, H. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq603 · Cited by 14,724
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
Self-citationAn integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Self-citationGenetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities
Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633
TOR signaling in growth and metabolism
Wullschleger, S., Loewith, R., & Hall, M. N. (2006) · Cell · doi:10.1016/j.cell.2006.01.016 · Cited by 5,787
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Self-citationA second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Self-citationHindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
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Self-citationBrandkvist, M., Bjørngaard, J. H., Ødegård, R. A., Åsvold, B. O., Sund, E. R., & Vie, G. Å. (2019) · BMJ · doi:10.1136/bmj.l4067 · Cited by 133
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Bowker, N., Shah, R. L., Sharp, S. J., Luan, J., Stewart, I. D., Wheeler, E., Ferreira, M. A. R., Baras, A., Wareham, N. J., Langenberg, C., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.103062 · Cited by 134
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Influence of puberty timing on adiposity and cardiometabolic traits: A Mendelian randomisation study
Bell, J. A., Carslake, D., Wade, K. H., Richmond, R. C., Langdon, R., Vincent, E. E., Holmes, M. V., Timpson, N. J., & Smith, G. D. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002641 · Cited by 127
Bentley, A. R., Understanding Society Scientific Group, Cohort, L., Sung, Y. J., Brown, M. R., Winkler, T. W., Kraja, A. T., Ντάλλα, Ι., Schwander, K., Chasman, D. I., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0378-y · Cited by 127
Self-citationSex Differences in Genomic Drivers of Adipose Distribution and Related Cardiometabolic Disorders
Lumish, H. S., O'Reilly, M. E., & Reilly, M. P. (2019) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.119.313154 · Cited by 129
Bovo, S., Ribani, A., Muñoz, M., Alves, E., Araújo, J. P., Bozzi, R., Čandek‐Potokar, M., Charneca, R., Palma, F. D., Etherington, G., et al. (2020) · Genetics Selection Evolution · doi:10.1186/s12711-020-00553-7 · Cited by 127
Zhou, J., Mi, J., Peng, Y., Han, H., & Liu, Z. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.740200 · Cited by 127
Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses
Bayarri, M. J., Benjamin, D. J., Berger, J. O., & Sellke, T. M. (2016) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2015.12.007 · Cited by 126
The Role of PVH Circuits in Leptin Action and Energy Balance
Sutton, A. K., Myers, M. G., & Olson, D. P. (2016) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021115-105347 · Cited by 126
Genetic markers as instrumental variables
von Hinke, S., Smith, G. D., Lawlor, D. A., Propper, C., & Windmeijer, F. (2015) · Journal of Health Economics · doi:10.1016/j.jhealeco.2015.10.007 · Cited by 125
Penetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution
Abadi, A., Alyass, A., Robiou-du-Pont, S., Bolker, B. M., Singh, P., Mohan, V., Díaz, R., Engert, J. C., Yusuf, S., Gerstein, H. C., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.10.007 · Cited by 125
Yarmolinsky, J., Bull, C. J., Vincent, E. E., Robinson, J., Walther, A., Smith, G. D., Lewis, S. J., Relton, C. L., & Martin, R. M. (2020) · JAMA · doi:10.1001/jama.2020.0150 · Cited by 124
Ni, A., & Ernst, C. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.826193 · Cited by 125
Campos, A., Port, J. D., & Acosta, A. J. (2022) · Brain Sciences · doi:10.3390/brainsci12040431 · Cited by 126
Competing paradigms of obesity pathogenesis: energy balance versus carbohydrate-insulin models
Ludwig, D. S., Apovian, C. M., Aronne, L. J., Astrup, A. V., Cantley, L. C., Ebbeling, C. B., Heymsfield, S. B., Johnson, J. D., King, J. C., Krauss, R. M., et al. (2022) · European Journal of Clinical Nutrition · doi:10.1038/s41430-022-01179-2 · Cited by 124
Lam, M., Trampush, J. W., Yu, J., Knowles, E., Davies, G., Liewald, D. C. M., Starr, J. M., Djurovic, S., Melle, I., Sundet, K. S., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.11.028 · Cited by 123
Self-citationErzurumluoglu, A. M., Liu, M., Jackson, V. E., Barnes, D. R., Datta, G., Melbourne, C., Young, R., Batini, C., Surendran, P., Jiang, T., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0313-0 · Cited by 126
Self-citationHeterogeneity in polygenic scores for common human traits
Ware, E. B., Schmitz, L. L., Faul, J., Gard, A., Mitchell, C., Smith, J. A., Zhao, W., Weir, D., & Kardia, S. L. (2017) · doi:10.1101/106062 · Cited by 123
Self-citationLawlor, D. A., Richmond, R. C., Warrington, N. M., McMahon, G., Smith, G. D., Bowden, J., & Evans, D. M. (2017) · Wellcome Open Research · doi:10.12688/wellcomeopenres.10567.1 · Cited by 122
The evolution of body fatness: trading off disease and predation risk
Speakman, J. R. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.167254 · Cited by 123
Interethnic analyses of blood pressure loci in populations of East Asian and European descent
Takeuchi, F., Akiyama, M., Matoba, N., Katsuya, T., Nakatochi, M., Tabara, Y., Narita, A., Saw, W., Moon, S., Spracklen, C. N., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07345-0 · Cited by 122
Self-citationSzcześniewska, P., & Hanć, T. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.08.021 · Cited by 122
Qian, J., Tanigawa, Y., Du, W., Aguirre, M., Chang, C. C., Tibshirani, R. J., Rivas, M. A., & Hastie, T. J. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1009141 · Cited by 122
Cholesterol Auxotrophy as a Targetable Vulnerability in Clear Cell Renal Cell Carcinoma
Riscal, R., Bull, C. J., Mesaros, C., Finan, J. M., Carens, M., Ho, E. S., Xu, J. P., Godfrey, J., Brennan, P., Johansson, M., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0211 · Cited by 122
Self-citationMechanism of action of the bile acid receptor TGR5 in obesity
Lun, W., Yan, Q., Guo, X., Zhou, M., Bai, Y., He, J., Cao, H., Che, Q., Guo, J., & Su, Z. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.11.011 · Cited by 122
Changes in alcohol use after metabolic and bariatric surgery: predictors and mechanisms.
Ivezaj, V., Benoit, S. C., Davis, J., Engel, S., Lloret-Linares, C., Mitchell, J. E., Pepino, M. Y., Rogers, A. M., Steffen, K., & Sogg, S. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1070-8 · Cited by 121
Geng, T., Smith, C. E., Li, C., & Huang, T. (2018) · Diabetes Care · doi:10.2337/dc17-2141 · Cited by 121
on behalf of the GUSTO study group, Lin, X., Lim, I. Y., Wu, Y., Teh, A. L., Chen, L., Aris, I. M., Soh, S., Tint, M. T., MacIsaac, J. L., et al. (2017) · BMC Medicine · doi:10.1186/s12916-017-0800-1 · Cited by 120
Predicting Polygenic Obesity Using Genetic Information
Loos, R. J. F., & Janssens, A. C. J. W. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.013 · Cited by 120
Self-citationAdvances in multi-omics study of biomarkers of glycolipid metabolism disorder
Fang, X., Miao, R., Wei, J., Wu, H., & Tian, J. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.10.030 · Cited by 120
Bovijn, J., Krebs, K., Chen, C.-Y., Boxall, R., Censin, J. C., Ferreira, T., Pulit, S. L., Glastonbury, C. A., Laber, S., Millwood, I. Y., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aay6570 · Cited by 119
Self-citationPeng, W., Xu, J. H., Zhang, Y., Feng, J., Dong, C., Jiang, L., Feng, J., Chen, B., Gong, Y., Chen, L., et al. (2016) · Scientific Reports · doi:10.1038/srep26693 · Cited by 119
Ng, M. C. Y., Graff, M., Lu, Y., Justice, A. E., Mudgal, P., Liu, C., Young, K. L., Yanek, L. R., Feitosa, M. F., Wojczynski, M. K., et al. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006719 · Cited by 119
Self-citationChildhood adiposity and risk of type 1 diabetes: A Mendelian randomization study
Censin, J. C., Nowak, C., Cooper, N., Bergsten, P., Todd, J. A., & Fall, T. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002362 · Cited by 120
Self-citationChanda, D., & De, D. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2304900 · Cited by 122
Sequeira, M., Lewis, S. J., Bonilla, C., Smith, G. D., & Joinson, C. J. (2016) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.115.168617 · Cited by 118
Nutrigenomics in the modern era
Mathers, J. C. (2016) · Proceedings of The Nutrition Society · doi:10.1017/s002966511600080x · Cited by 118
Metadata
- Authors
- Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., Powell, C., Vedantam, S., Buchkovich, M. L., Yang, J., Croteau-Chonka, D. C., Esko, T., Fall, T., Ferreira, T., Gustafsson, S., Kutalik, Z., Luan, J., Mägi, R., Randall, J. C., Winkler, T. W., Wood, A. R., Workalemahu, T., Faul, J. D., Smith, J. A., Hua Zhao, J., Zhao, W., Chen, J., Fehrmann, R., Hedman, Å. K., Karjalainen, J., Schmidt, E. M., Absher, D., Amin, N., Anderson, D., Beekman, M., Bolton, J. L., Bragg-Gresham, J. L., Buyske, S., Demirkan, A., Deng, G., Ehret, G. B., Feenstra, B., Feitosa, M. F., Fischer, K., Goel, A., Gong, J., Jackson, A. U., Kanoni, S., Kleber, M. E., Kristiansson, K., Lim, U., Lotay, V., Mangino, M., Mateo Leach, I., Medina-Gomez, C., Medland, S. E., Nalls, M. A., Palmer, C. D., Pasko, D., Pechlivanis, S., Peters, M. J., Prokopenko, I., Shungin, D., Stančáková, A., Strawbridge, R. J., Ju Sung, Y., Tanaka, T., Teumer, A., Trompet, S., van der Laan, S. W., van Setten, J., Van Vliet-Ostaptchouk, J. V., Wang, Z., Yengo, L., Zhang, W., Isaacs, A., Albrecht, E., Ärnlöv, J., Arscott, G. M., Attwood, A. P., Bandinelli, S., Barrett, A., Bas, I. N., Bellis, C., Bennett, A. J., Berne, C., Blagieva, R., Blüher, M., Böhringer, S., Bonnycastle, L. L., Böttcher, Y., Boyd, H. A., Bruinenberg, M., Caspersen, I. H., Ida Chen, Y.-D., Clarke, R., Warwick Daw, E., de Craen, A. J. M., Delgado, G., Dimitriou, M., Doney, A. S. F., Eklund, N., Estrada, K., Eury, E., Folkersen, L., Fraser, R. M., Garcia, M. E., Geller, F., Giedraitis, V., Gigante, B., Go, A. S., Golay, A., Goodall, A. H., Gordon, S. D., Gorski, M., Grabe, H.-J., Grallert, H., Grammer, T. B., Gräßler, J., Grönberg, H., Groves, C. J., Gusto, G., Haessler, J., Hall, P., Haller, T., Hallmans, G., Hartman, C. A., Hassinen, M., Hayward, C., Heard-Costa, N. L., Helmer, Q., Hengstenberg, C., Holmen, O., Hottenga, J.-J., James, A. L., Jeff, J. M., Johansson, Å., Jolley, J., Juliusdottir, T., Kinnunen, L., Koenig, W., Koskenvuo, M., Kratzer, W., Laitinen, J., Lamina, C., Leander, K., Lee, N. R., Lichtner, P., Lind, L., Lindström, J., Sin Lo, K., Lobbens, S., Lorbeer, R., Lu, Y., Mach, F., Magnusson, P. K. E., Mahajan, A., McArdle, W. L., McLachlan, S., Menni, C., Merger, S., Mihailov, E., Milani, L., Moayyeri, A., Monda, K. L., Morken, M. A., Mulas, A., Müller, G., Müller-Nurasyid, M., Musk, A. W., Nagaraja, R., Nöthen, M. M., Nolte, I. M., Pilz, S., Rayner, N. W., Renstrom, F., Rettig, R., Ried, J. S., Ripke, S., Robertson, N. R., Rose, L. M., Sanna, S., Scharnagl, H., Scholtens, S., Schumacher, F. R., Scott, W. R., Seufferlein, T., Shi, J., Vernon Smith, A., Smolonska, J., Stanton, A. V., Steinthorsdottir, V., Stirrups, K., Stringham, H. M., Sundström, J., Swertz, M. A., Swift, A. J., Syvänen, A.-C., Tan, S.-T., Tayo, B. O., Thorand, B., Thorleifsson, G., Tyrer, J. P., Uh, H.-W., Vandenput, L., Verhulst, F. C., Vermeulen, S. H., Verweij, N., Vonk, J. M., Waite, L. L., Warren, H. R., Waterworth, D., Weedon, M. N., Wilkens, L. R., Willenborg, C., Wilsgaard, T., Wojczynski, M. K., Wong, A., Wright, A. F., Zhang, Q., Brennan, E. P., Choi, M., Dastani, Z., Drong, A. W., Eriksson, P., Franco-Cereceda, A., Gådin, J. R., Gharavi, A. G., Goddard, M. E., Handsaker, R. E., Huang, J., Karpe, F., Kathiresan, S., Keildson, S., Kiryluk, K., Kubo, M., Lee, J.-Y., Liang, L., Lifton, R. P., Ma, B., McCarroll, S. A., McKnight, A. J., Min, J. L., Moffatt, M. F., Montgomery, G. W., Murabito, J. M., Nicholson, G., Nyholt, D. R., Okada, Y., Perry, J. R. B., Dorajoo, R., Reinmaa, E., Salem, R. M., Sandholm, N., Scott, R. A., Stolk, L., Takahashi, A., Tanaka, T., van’t Hooft, F. M., Vinkhuyzen, A. A. E., Westra, H.-J., Zheng, W., Zondervan, K. T., Heath, A. C., Arveiler, D., Bakker, S. J. L., Beilby, J., Bergman, R. N., Blangero, J., Bovet, P., Campbell, H., Caulfield, M. J., Cesana, G., Chakravarti, A., Chasman, D. I., Chines, P. S., Collins, F. S., Crawford, D. C., Adrienne Cupples, L., Cusi, D., Danesh, J., de Faire, U., den Ruijter, H. M., Dominiczak, A. F., Erbel, R., Erdmann, J., Eriksson, J. G., Farrall, M., Felix, S. B., Ferrannini, E., Ferrières, J., Ford, I., Forouhi, N. G., Forrester, T., Franco, O. H., Gansevoort, R. T., Gejman, P. V., Gieger, C., Gottesman, O., Gudnason, V., Gyllensten, U., Hall, A. S., Harris, T. B., Hattersley, A. T., Hicks, A. A., Hindorff, L. A., Hingorani, A. D., Hofman, A., Homuth, G., Kees Hovingh, G., Humphries, S. E., Hunt, S. C., Hyppönen, E., Illig, T., Jacobs, K. B., Jarvelin, M.-R., Jöckel, K.-H., Johansen, B., Jousilahti, P., Wouter Jukema, J., Jula, A. M., Kaprio, J., Kastelein, J. J. P., Keinanen-Kiukaanniemi, S. M., Kiemeney, L. A., Knekt, P., Kooner, J. S., Kooperberg, C., Kovacs, P., Kraja, A. T., Kumari, M., Kuusisto, J., Lakka, T. A., Langenberg, C., Le Marchand, L., Lehtimäki, T., Lyssenko, V., Männistö, S., Marette, A., Matise, T. C., McKenzie, C. A., McKnight, B., Moll, F. L., Morris, A. D., Morris, A. P., Murray, J. C., Nelis, M., Ohlsson, C., Oldehinkel, A. J., Ong, K. K., Madden, P. A. F., Pasterkamp, G., Peden, J. F., Peters, A., Postma, D. S., Pramstaller, P. P., Price, J. F., Qi, L., Raitakari, O. T., Rankinen, T., Rao, D. C., Rice, T. K., Ridker, P. M., Rioux, J. D., Ritchie, M. D., Rudan, I., Salomaa, V., Samani, N. J., Saramies, J., Sarzynski, M. A., Schunkert, H., Schwarz, P. E. H., Sever, P., Shuldiner, A. R., Sinisalo, J., Stolk, R. P., Strauch, K., Tönjes, A., Trégouët, D.-A., Tremblay, A., Tremoli, E., Virtamo, J., Vohl, M.-C., Völker, U., Waeber, G., Willemsen, G., Witteman, J. C., Carola Zillikens, M., Adair, L. S., Amouyel, P., Asselbergs, F. W., Assimes, T. L., Bochud, M., Boehm, B. O., Boerwinkle, E., Bornstein, S. R., Bottinger, E. P., Bouchard, C., Cauchi, S., Chambers, J. C., Chanock, S. J., Cooper, R. S., de Bakker, P. I. W., Dedoussis, G., Ferrucci, L., Franks, P. W., Froguel, P., Groop, L. C., Haiman, C. A., Hamsten, A., Hui, J., Hunter, D. J., Hveem, K., Kaplan, R. C., Kivimaki, M., Kuh, D., Laakso, M., Liu, Y., Martin, N. G., März, W., Melbye, M., Metspalu, A., Moebus, S., Munroe, P. B., Njølstad, I., Oostra, B. A., Palmer, C. N. A., Pedersen, N. L., Perola, M., Pérusse, L., Peters, U., Power, C., Quertermous, T., Rauramaa, R., Rivadeneira, F., Saaristo, T. E., Saleheen, D., Sattar, N., Schadt, E. E., Schlessinger, D., Eline Slagboom, P., Snieder, H., Spector, T. D., Thorsteinsdottir, U., Stumvoll, M., Tuomilehto, J., Uitterlinden, A. G., Uusitupa, M., van der Harst, P., Walker, M., Wallaschofski, H., Wareham, N. J., Watkins, H., Weir, D. R., Wichmann, H.-E., Wilson, J. F., Zanen, P., Borecki, I. B., Deloukas, P., Fox, C. S., Heid, I. M., O’Connell, J. R., Strachan, D. P., Stefansson, K., van Duijn, C. M., Abecasis, G. R., Franke, L., Frayling, T. M., McCarthy, M. I., Visscher, P. M., Scherag, A., Willer, C. J., Boehnke, M., Mohlke, K. L., Lindgren, C. M., Beckmann, J. S., Barroso, I., North, K. E., Ingelsson, E., Hirschhorn, J. N., Loos, R. J. F., & Speliotes, E. K.
- Affiliations
- University of Michigan (US)
- National Institutes of Health (US)
- University of North Carolina at Chapel Hill (US)
- Broad Institute (US)
- University of Cambridge (GB)
- Uppsala University (SE)
- Centre for Human Genetics (GB)
- SIB Swiss Institute of Bioinformatics (CH)
- Harvard University (US)
- University of Exeter (GB)
- University Medical Center Groningen (NL)
- Rutgers, The State University of New Jersey (US)
- The Kids Research Institute Australia (AU)
- Army Medical University (CN)
- Johns Hopkins University (US)
- Statens Serum Institut (DK)
- Queen Mary University of London (GB)
- Heidelberg University (DE)
- Fred Hutch Cancer Center (US)
- Erasmus MC (NL)
- QIMR Berghofer Medical Research Institute (AU)
- University of Eastern Finland (FI)
- Karolinska Institutet (SE)
- Washington University in St. Louis (US)
- Lund University (SE)
- Tokyo Medical and Dental University (JP)
- Centre National de la Recherche Scientifique (FR)
- NHS Blood and Transplant (GB)
- Helmholtz Munich (DE)
- Dalarna University (SE)
- Texas Biomedical Research Institute (US)
- University of Oxford (GB)
- IFB Adiposity Diseases (DE)
- Norwegian University of Science and Technology (NO)
- University of Dundee (GB)
- Kaiser Permanente (US)
- University of Leicester (GB)
- Universitätsmedizin Greifswald (DE)
- Western General Hospital (GB)
- Boston University (US)
- Leiden University Medical Center (NL)
- The University of Western Australia (AU)
- University Hospital Ulm (DE)
- Innsbruck Medical University (AT)
- University of Helsinki (FI)
- Montreal Heart Institute (CA)
- Finnish Institute for Health and Welfare (FI)
- University of Edinburgh (GB)
- King's College London (GB)
- University of Bristol (GB)
- Institute of Genetic and Biomedical Research (IT)
- University Hospital Carl Gustav Carus (DE)
- University of Bonn (DE)
- Medical University of Graz (AT)
- University of Southern California (US)
- Brigham and Women's Hospital (US)
- Royal College of Surgeons in Ireland (IE)
- deCODE Genetics (Iceland) (IS)
- Loyola University Chicago (US)
- HudsonAlpha Institute for Biotechnology (US)
- University of London (GB)
- Radboud University Medical Center (NL)
- Institute for Integrative and Experimental Genomics (DE)
- University College Dublin (IE)
- Seoul National University (KR)
- MRC Unit for Lifelong Health and Ageing (GB)
- Lady Davis Institute for Medical Research (CA)
- Queen's University Belfast (GB)
- Howard Hughes Medical Institute (US)
- Agency for Science, Technology and Research (SG)
- RIKEN Center for Integrative Medical Sciences (JP)
- Helsinki University Hospital (FI)
- The University of Queensland (AU)
- Vanderbilt University (US)
- Pathwest Laboratory Medicine (AU)
- Cedars-Sinai Medical Center (US)
- Centre Hospitalier Universitaire Vaudois (CH)
- University of Milan (IT)
- University of Pisa (IT)
- Endeavor Health (US)
- University of the West Indies (JM)
- University of Iceland (IS)
- University of Leeds (GB)
- Eurac Research (IT)
- University of Utah (US)
- University College London (GB)
- University of South Australia (AU)
- Amsterdam UMC Location University of Amsterdam (NL)
- Oulu University Hospital (FI)
- University of Essex (GB)
- Imperial College Healthcare NHS Trust (GB)
- Steno Diabetes Centers (DK)
- Tampere University (FI)
- University Medical Center Utrecht (NL)
- University of Iowa (US)
- University of Washington (US)
- Illumina (United Kingdom) (GB)
- University of Turku (FI)
- Pennington Biomedical Research Center (US)
- German Centre for Cardiovascular Research (DE)
- University of Maryland, Baltimore (US)
- German Center for Diabetes Research (DE)
- Inserm (FR)
- Stanford Medicine (US)
- Albert Einstein College of Medicine (US)
- Institut für Medizinische Informatik, Biometrie und Epidemiologie (DE)
- University of Copenhagen (DK)
- Université Laval (CA)
- Finnish Diabetes Association (FI)
- Universität für Weiterbildung Krems (AT)
- King Abdulaziz University (SA)
- St George's, University of London (GB)
- Corresponding author
- Beckmann, Jacques S.
- ORCID
- Locke, Adam E.
- Kahali, Bratati
- Berndt, Sonja I.
- Justice, Anne E.
- Pers, Tune H.
- Day, Felix R.
- Vedantam, Sailaja
- Buchkovich, Martin L.
- Yang, Jian
- Fall, Tove
- Ferreira, Teresa
- Gustafsson, Stefan
- Kutalik, Zoltán
- Luan, Jian’an
- Mägi, Reedik
- Winkler, Thomas W.
- Wood, Andrew R.
- Workalemahu, Tsegaselassie
- Faul, Jessica D.
- Smith, Jennifer A.
- Zhao, Wei
- Fehrmann, Rudolf
- Hedman, Åsa K.
- Karjalainen, Juha
- Schmidt, Ellen M.
- Amin, Najaf
- Anderson, Denise
- Beekman, Marian
- Buyske, Steven
- 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
- Mangino, Massimo
- Medland, Sarah E.
- Palmer, Cameron D.
- Pechlivanis, Sonali
- Peters, Marjolein J.
- Prokopenko, Inga
- Shungin, Dmitry
- Strawbridge, Rona J.
- Tanaka, Toshiko
- Teumer, Alexander
- Trompet, Stella
- Yengo, Loïc
- Isaacs, Aaron
- Ärnlöv, Johan
- Arscott, Gillian M.
- Bandinelli, Stefania
- Bellis, Claire
- Bennett, Amanda J.
- Blüher, Matthias
- Böhringer, Stefan
- Bonnycastle, Lori L.
- Böttcher, Yvonne
- Boyd, Heather A.
- Caspersen, Ida H.
- Dimitriou, Maria
- Doney, Alex S. F.
- Estrada, Karol
- Folkersen, Lasse
- Fraser, Ross M.
- Geller, Frank
- Giedraitis, Vilmantas
- Gigante, Bruna
- Go, Alan S.
- Golay, Alain
- Goodall, Alison H.
- Gordon, Scott D.
- Gorski, Mathias
- Grabe, Hans-Jörgen
- Grallert, Harald
- Grönberg, Henrik
- Hall, Per
- Haller, Toomas
- Hartman, Catharina A.
- Hayward, Caroline
- Hengstenberg, Christian
- Hottenga, Jouke-Jan
- Johansson, Åsa
- Kinnunen, Leena
- Kratzer, Wolfgang
- Laitinen, Jaana
- Lamina, Claudia
- Leander, Karin
- Lichtner, Peter
- Lind, Lars
- Lindström, Jaana
- Lu, Yingchang
- Mach, François
- Magnusson, Patrik K. E.
- Mahajan, Anubha
- McArdle, Wendy L.
- McLachlan, Stela
- Menni, Cristina
- Merger, Sigrun
- Milani, Lili
- Moayyeri, Alireza
- Mulas, Antonella
- Müller, Gabriele
- Musk, Arthur W.
- Nagaraja, Ramaiah
- Nöthen, Markus M.
- Nolte, Ilja M.
- Pilz, Stefan
- Rayner, Nigel W.
- Ripke, Stephan
- Rose, Lynda M.
- Sanna, Serena
- Scharnagl, Hubert
- Scholtens, Salome
- Schumacher, Fredrick R.
- Scott, William R.
- Seufferlein, Thomas
- Shi, Jianxin
- Stanton, Alice V.
- Stirrups, Kathleen
- Stringham, Heather M.
- Sundström, Johan
- Swertz, Morris A.
- Tayo, Bamidele O.
- Thorand, Barbara
- Tyrer, Jonathan P.
- Uh, Hae-Won
- Vandenput, Liesbeth
- Verhulst, Frank C.
- Vermeulen, Sita H.
- Verweij, Niek
- Vonk, Judith M.
- Warren, Helen R.
- Waterworth, Dawn
- Weedon, Michael N.
- Wilkens, Lynne R.
- Wilsgaard, Tom
- Wojczynski, Mary K.
- Wong, Andrew
- Brennan, Eoin P.
- Choi, Murim
- Eriksson, Per
- Gådin, Jesper R.
- Gharavi, Ali G.
- Goddard, Michael E.
- Handsaker, Robert E.
- Huang, Jinyan
- Karpe, Fredrik
- Kathiresan, Sekar
- Kiryluk, Krzysztof
- Kubo, Michiaki
- Lee, Jong-Young
- Liang, Liming
- Lifton, Richard P.
- Ma, Baoshan
- McCarroll, Steven A.
- McKnight, Amy J.
- Min, Josine L.
- Moffatt, Miriam F.
- Montgomery, Grant W.
- Murabito, Joanne M.
- Nyholt, Dale R.
- Okada, Yukinori
- Perry, John R. B.
- Dorajoo, Rajkumar
- Salem, Rany M.
- Sandholm, Niina
- Takahashi, Atsushi
- Tanaka, Toshihiro
- Vinkhuyzen, Anna A. E.
- Westra, Harm-Jan
- Zheng, Wei
- Zondervan, Krina T.
- Heath, Andrew C.
- Bakker, Stephan J. L.
- Beilby, John
- Bergman, Richard N.
- Blangero, John
- Bovet, Pascal
- Caulfield, Mark J.
- Chakravarti, Aravinda
- Chasman, Daniel I.
- Collins, Francis S.
- Crawford, Dana C.
- Cusi, Daniele
- Danesh, John
- Dominiczak, Anna F.
- Erdmann, Jeanette
- Eriksson, Johan G.
- Farrall, Martin
- Felix, Stephan B.
- Ferrannini, Ele
- Ferrières, Jean
- Ford, Ian
- Forouhi, Nita G.
- Franco, Oscar H.
- Gansevoort, Ron T.
- Gieger, Christian
- Gudnason, Vilmundur
- Gyllensten, Ulf
- Hall, Alistair S.
- Harris, Tamara B.
- Hattersley, Andrew T.
- Hicks, Andrew A.
- Hindorff, Lucia A.
- Hingorani, Aroon D.
- Homuth, Georg
- Humphries, Steve E.
- Hunt, Steven C.
- Hyppönen, Elina
- Jacobs, Kevin B.
- Jöckel, Karl-Heinz
- Johansen, Berit
- Kaprio, Jaakko
- Kastelein, John J. P.
- Keinanen-Kiukaanniemi, Sirkka M.
- Kiemeney, Lambertus A.
- Knekt, Paul
- Kooner, Jaspal S.
- Kooperberg, Charles
- Kovacs, Peter
- Lakka, Timo A.
- Langenberg, Claudia
- Lehtimäki, Terho
- Lyssenko, Valeriya
- Männistö, Satu
- Marette, André
- Matise, Tara C.
- Moll, Frans L.
- Morris, Andrew D.
- Morris, Andrew P.
- Murray, Jeffrey C.
- Nelis, Mari
- Ohlsson, Claes
- Oldehinkel, Albertine J.
- Ong, Ken K.
- Madden, Pamela A. F.
- Pasterkamp, Gerard
- Peters, Annette
- Postma, Dirkje S.
- Pramstaller, Peter P.
- Price, Jackie F.
- Qi, Lu
- Raitakari, Olli T.
- Rao, D. C.
- Rice, Treva K.
- Ridker, Paul M.
- Rioux, John D.
- Ritchie, Marylyn D.
- Rudan, Igor
- Salomaa, Veikko
- Samani, Nilesh J.
- Sarzynski, Mark A.
- Schunkert, Heribert
- Schwarz, Peter E. H.
- Shuldiner, Alan R.
- Sinisalo, Juha
- Stolk, Ronald P.
- Strauch, Konstantin
- Tönjes, Anke
- Trégouët, David-Alexandre
- Tremblay, Angelo
- Tremoli, Elena
- Vohl, Marie-Claude
- Völker, Uwe
- Waeber, Gérard
- Willemsen, Gonneke
- Adair, Linda S.
- Amouyel, Philippe
- Asselbergs, Folkert W.
- Assimes, Themistocles L.
- Bochud, Murielle
- Boehm, Bernhard O.
- Boerwinkle, Eric
- Bornstein, Stefan R.
- Bouchard, Claude
- Cauchi, Stéphane
- Chambers, John C.
- Chanock, Stephen J.
- Cooper, Richard S.
- Dedoussis, George
- Ferrucci, Luigi
- Franks, Paul W.
- Froguel, Philippe
- Haiman, Christopher A.
- Hamsten, Anders
- Hui, Jennie
- Hveem, Kristian
- Kaplan, Robert C.
- Kuh, Diana
- Laakso, Markku
- Martin, Nicholas G.
- März, Winfried
- Melbye, Mads
- Metspalu, Andres
- Moebus, Susanne
- Munroe, Patricia B.
- Njølstad, Inger
- Pedersen, Nancy L.
- Perola, Markus
- Peters, Ulrike
- Power, Chris
- Quertermous, Thomas
- Rivadeneira, Fernando
- Saleheen, Danish
- Sattar, Naveed
- Snieder, Harold
- Spector, Tim D.
- Tuomilehto, Jaakko
- Uitterlinden, André G.
- Uusitupa, Matti
- Walker, Mark
- Wareham, Nicholas J.
- Watkins, Hugh
- Weir, David R.
- Wichmann, H-Erich
- Wilson, James F.
- Zanen, Pieter
- Borecki, Ingrid B.
- Deloukas, Panos
- Fox, Caroline S.
- Heid, Iris M.
- O’Connell, Jeffrey R.
- Strachan, David P.
- Abecasis, Gonçalo R.
- Franke, Lude
- Frayling, Timothy M.
- McCarthy, Mark I.
- Visscher, Peter M.
- Scherag, André
- Willer, Cristen J.
- Boehnke, Michael
- Mohlke, Karen L.
- Lindgren, Cecilia M.
- Beckmann, Jacques S.
- Barroso, Inês
- North, Kari E.
- Ingelsson, Erik
- Hirschhorn, Joel N.
- Loos, Ruth J. F.
- Speliotes, Elizabeth K.
- Venue
- Nature
- Published
- 2015-02-11
- Volume
- 518
- Issue
- 7538
- Pages
- 197-206
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4382211
- OpenAlex
- W2039153962
- Cited by
- 4,534
- References
- 77
- Citations by year
- 2026: 185 · 2025: 297 · 2024: 341 · 2023: 380 · 2022: 448 · 2021: 564 · 2020: 413 · 2019: 439 · 2018: 466 · 2017: 479 · 2016: 339 · 2015: 172
- FWCI
- 331.64
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion)
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- Faculty of Health; Institute of Health and Biomedical Innovation
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- WOS
- Funders
- Massachusetts General Hospital
- Kaiser Permanente
- Helsingin Yliopisto
- University of Dundee
- Norges Teknisk-Naturvitenskapelige Universitet
- Wellcome Trust (098017, 098381, 085235, 097117, WT098017, 100574, 084766, WT098381, WT100574, WT097117, WT084766, WT085235)
- Texas Biomedical Research Institute
- Université de Lille (F-59000)
- European Genomic Institute for Diabetes
- Cancer Research UK (CRUK_14136, 14136)
- National Institute for Health and Care Research (NF-SI-0512-10165, NF-SI-0513-10109, NF-SI-0611-10170, NF-SI-0512-10113, NF-SI-0507-10380, NF-SI-0611-10099, NF-SI-0512-10114, NF-SI-0611-10219, NF-SI-0514-10027, NF-SI-0513-10059)
- British Heart Foundation (BHF_FS/14/55/30806, FS/14/55/30806, RG/08/008/25291, BHF_RG/10/12/28456, BHF_RG/08/008/25291, RG/10/12/28456, BHF_RG/08/014/24067, RG/07/008/23674, RG/08/014/24067)
- University of Leicester
- Imperial College London
- University of Oxford
- Rijksuniversiteit Groningen
- Queensland University of Technology
- Lundbeckfonden (R190 2014-3904)
- Karolinska Institutet
- Centre National de la Recherche Scientifique
- Leids Universitair Medisch Centrum
- Universitair Medisch Centrum Groningen
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Universitätsklinikum Regensburg
- Högskolan Dalarna
- Centre Hospitalier Universitaire Vaudois
- Uppsala Universitet
- Universitätsklinikum Jena
- Universität Ulm (89081)
- Harokopio University
- Novo Nordisk Fonden (NNF14OC0010513, NNF12OC1016467, NNF14OC0009883, NNF13OC0005785, NNF15OC0016416, NNF13OC0004839)
- National Institutes of Health (5ul1tr001067-05, UL1TR000124, TL1TR001066)
- University of California, Los Angeles
- University of North Carolina at Chapel Hill
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai
- Medical Research Council (MR/K013351/1, MR/K006584/1, MC_UU_12015/5, MR/N01104X/1, MR/L003120/1, MR/K002414/1, MC_UU_12015/2, MC_UU_12015/1)
- Economic and Social Research Council (ES/J023299/1, ES/F02679X/1)
- Helmholtz Zentrum München
- Center for Sepsis Control and Care
- NIHR Cambridge Biomedical Research Centre
- National Institute on Aging (P30AG010129, U01AG049505, R01AG025941, R01AG033193, R01AG041517, U01AG009740)
- National Heart, Lung, and Blood Institute (R01HL105756, T32HL007824, K01HL116770, R01HL117078, P30HL107251, R01HL117626, T32HL007055, R01HL109946)
- National Institute on Drug Abuse (R21DA027040)
- National Human Genome Research Institute (U01HG004790, U01HG004802, U01HG007416, U01HG007417, U01HG007419, U01HG007376)
- National Cancer Institute (U01CA164930, UM1CA182913, UM1CA182910, P30CA071789)
- National Institute of General Medical Sciences (T32GM007814, R25GM062459, T32GM080178, P30GM103341)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK078150, R01DK072193, R01DK089256, U01DK062370, K23DK080145, P30DK072488, P60DK020541, R01DK075787, P30DK020572, P30DK056341, R01DK093757, P30DK063491, P30DK020541, R01DK062370)
- National Institute of Neurological Disorders and Stroke (R01NS017950)
- National Center for Advancing Translational Sciences (UL1-TR001067)
- National Institute on Minority Health and Health Disparities (P20MD006899)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD050924)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- body mass index, obesity genetics, genome-wide association study, novel genetic loci, metabolic phenotypes, central nervous system, synaptic function, glutamate signalling, insulin secretion, energy metabolism, lipid biology, adipogenesis
- MeSH terms
- Insulin Secretion, Age Factors, Energy Metabolism, Europe, Female, Humans, Insulin, Male, Obesity, Synapses, Body Mass Index, Glutamic Acid, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Racial Groups, Adiposity, Adipogenesis, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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