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Locke, AE; Kahali, B; Berndt, SI; Justice, AE; Pers, TH; Day, FR; Powell, C; Vedantam, S; Buchkovich, ML; Yang, J; Croteau-Chonka, DC; Esko, T; Fall, T; Ferreira, T; Gustafsson, S; Kutalik, Z; Luan, J; Mägi, R; Randall, JC; Winkler, TW; Wood, AR; Workalemahu, T; Faul, JD; Smith, JA; Zhao, JH; Zhao, W; Chen, J; Fehrmann, R; Hedman, ÅK; Karjalainen, J; Schmidt, EM; Absher, D; Amin, N; Anderson, D; Beekman, M; Bolton, JL; Bragg-Gresham, JL; Buyske, S; Demirkan, A; Deng, G; Ehret, GB; Feenstra, B; Feitosa, MF; Fischer, K; Goel, A; Gong, J; Jackson, AU; Kanoni, S; Kleber, ME; Kristiansson, K; Lim, U; Lotay, V; Mangino, M; Leach, IM; Medina-Gomez, C; Medland, SE; Nalls, MA; Palmer, CD; Pasko, D; Pechlivanis, S; Peters, MJ; Prokopenko, I; Shungin, D; Stančáková, A; Strawbridge, RJ; Sung, YJ; Tanaka, T; Teumer, A; Trompet, S; van der Laan, SW; van Setten, J; Van Vliet-Ostaptchouk, JV; Wang, Z; Yengo, L; Zhang, W; Isaacs, A; Albrecht, E; Ärnlöv, J; Arscott, GM; Attwood, AP; Bandinelli, S; Barrett, A; Bas, IN; Bellis, C; Bennett, AJ; Berne, C; Blagieva, R; Blüher, M; Böhringer, S; Bonnycastle, LL; Böttcher, Y; Boyd, HA; Bruinenberg, M; Caspersen, IH; Chen, YI; Clarke, R; Daw, EW; de Craen, AJM; Delgado, G; Dimitriou, M; Doney, ASF; Eklund, N; Estrada, K; Eury, E; Folkersen, L; Fraser, RM; Garcia, ME; Geller, F; Giedraitis, V; Gigante, B; Go, AS; Golay, A; Goodall, AH; Gordon, SD; Gorski, M; Grabe, HJ; Grallert, H; Grammer, TB; Gräßler, J; Grönberg, H; Groves, CJ; Gusto, G; Haessler, J; Hall, P; Haller, T; Hallmans, G; Hartman, CA; Hassinen, M; Hayward, C; Heard-Costa, NL; Helmer, Q; Hengstenberg, C; Holmen, O; Hottenga, JJ; James, AL; Jeff, JM; Johansson, Å; Jolley, J; Juliusdottir, T; Kinnunen, L; Koenig, W; Koskenvuo, M; Kratzer, W; Laitinen, J; Lamina, C; Leander, K; Lee, NR; Lichtner, P; Lind, L; Lindström, J; Lo, KS; Lobbens, S; Lorbeer, R; Lu, Y; Mach, F; Magnusson, PKE; Mahajan, A; McArdle, WL; McLachlan, S; Menni, C; Merger, S; Mihailov, E; Milani, L; Moayyeri, A; Monda, KL; Morken, MA; Mulas, A; Müller, G; Müller-Nurasyid, M; Musk, AW; Nagaraja, R; Nöthen, MM; Nolte, IM; Pilz, S; Rayner, NW; Renstrom, F; Rettig, R; Ried, JS; Ripke, S; Robertson, NR; Rose, LM; Sanna, S; Scharnagl, H; Scholtens, S; Schumacher, FR; Scott, WR; Seufferlein, T; Shi, J; Smith, AV; Smolonska, J; Stanton, AV; Steinthorsdottir, V; Stirrups, K; Stringham, HM; Sundström, J; Swertz, MA; Swift, AJ; Syvänen, AC; Tan, ST; Tayo, BO; Thorand, B; Thorleifsson, G; Tyrer, JP; Uh, HW; Vandenput, L; Verhulst, FC; Vermeulen, SH; Verweij, N; Vonk, JM; Waite, LL; Warren, HR; Waterworth, D; Weedon, MN; Wilkens, LR; Willenborg, C; Wilsgaard, T; Wojczynski, MK; Wong, A; Wright, AF; Zhang, Q; LifeLines Cohort Study; Brennan, EP; Choi, M; Dastani, Z; Drong, AW; Eriksson, P; Franco-Cereceda, A; Gådin, JR; Gharavi, AG; Goddard, ME; Handsaker, RE; Huang, J; Karpe, F; Kathiresan, S; Keildson, S; Kiryluk, K; Kubo, M; Lee, JY; Liang, L; Lifton, RP; Ma, B; McCarroll, SA; McKnight, AJ; Min, JL; Moffatt, MF; Montgomery, GW; Murabito, JM; Nicholson, G; Nyholt, DR; Okada, Y; Perry, JRB; Dorajoo, R; Reinmaa, E; Salem, RM; Sandholm, N; Scott, RA; Stolk, L; Takahashi, A; Tanaka, T; van 't Hooft, FM; Vinkhuyzen, AAE; Westra, HJ; Zheng, W; Zondervan, KT; ADIPOGen Consortium; AGEN-BMI Working Group; CARDIOGRAMplusC4D Consortium; CKDGen Consortium; GLGC; ICBP; MAGIC Investigators; MuTHER Consortium; MIGen Consortium; PAGE Consortium; ReproGen Consortium; GENIE Consortium; International Endogene Consort ....
Genetic studies of body mass index yield new insights for obesity biology.
Nature. 2015; 518(7538):197-206 Doi: 10.1038/nature14177 [OPEN ACCESS]
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Co-Autor*innen der Med Uni Graz
März Winfried
Pilz Stefan
Scharnagl Hubert
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Abstract:
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.
Find related publications in this database (using NLM MeSH Indexing)
Adipogenesis - genetics
Adiposity - genetics
Age Factors -
Body Mass Index -
Continental Population Groups - genetics
Energy Metabolism - genetics
Energy Metabolism - ethnology
Female -
Genetic Predisposition to Disease - genetics
Genome-Wide Association Study -
Glutamic Acid - metabolism
Humans -
Insulin - metabolism
Insulin Secretion -
Male -
Obesity - genetics
Obesity - metabolism
Polymorphism, Single Nucleotide - genetics
Quantitative Trait Loci - genetics
Synapses - metabolism

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