Genetic studies of body mass index yield new insights for obesity biology

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 individual...

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Published inNature (London) Vol. 518; no. 7538; pp. 197 - 206
Main Authors Croteau-Chonka, Damien C., Wood, Andrew R., Absher, Devin, Bragg-Gresham, Jennifer L., Buyske, Steven, Feitosa, Mary F., Mangino, Massimo, Mateo Leach, Irene, Palmer, Cameron D., Pasko, Dorota, Ju Sung, Yun, Teumer, Alexander, van der Laan, Sander W., Ärnlöv, Johan, Berne, Christian, Bonnycastle, Lori L., Bruinenberg, Marcel, Ida Chen, Yii-Der, de Craen, Anton J. M., Delgado, Graciela, Fraser, Ross M., Grönberg, Henrik, Gusto, Gaëlle, Hassinen, Maija, Jeff, Janina M., Kinnunen, Leena, Kratzer, Wolfgang, Lee, Nanette R., Lichtner, Peter, Lind, Lars, Sin Lo, Ken, Lorbeer, Roberto, Mahajan, Anubha, Milani, Lili, Monda, Keri L., Nolte, Ilja M., Pilz, Stefan, Rettig, Rainer, Ripke, Stephan, Sanna, Serena, Schumacher, Fredrick R., Scott, William R., Smolonska, Joanna, Stirrups, Kathleen, Stringham, Heather M., Uh, Hae-Won, Vandenput, Liesbeth, Warren, Helen R., Brennan, Eoin P., Drong, Alexander W., Min, Josine L., Okada, Yukinori, Takahashi, Atsushi, Tanaka, Toshihiro, Westra, Harm-Jan, Campbell, Harry, den Ruijter, Hester M., Erbel, Raimund, Farrall, Martin, Franco, Oscar H., Gejman, Pablo V., Gieger, Christian, Gottesman, Omri, Hingorani, Aroon D., Hyppönen, Elina, Jarvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Johansen, Berit, Kooperberg, Charles, Langenberg, Claudia, Postma, Dirkje S., Price, Jackie F., Rao, D. C., Rioux, John D., Schunkert, Heribert, Shuldiner, Alan R., Strauch, Konstantin, Tremblay, Angelo, Adair, Linda S., de Bakker, Paul I. W., Ferrucci, Luigi, Hveem, Kristian, März, Winfried, Munroe, Patricia B., Njølstad, Inger, Palmer, Colin N. A., Pedersen, Nancy L., Pérusse, Louis, Saaristo, Timo E., Saleheen, Danish, Sattar, Naveed, Eline Slagboom, P., Tuomilehto, Jaakko, Deloukas, Panos, Stefansson, Kari, van Duijn, Cornelia M., Willer, Cristen J., Ingelsson, Erik, Hirschhorn, Joel N., Loos, Ruth J. F.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 12.02.2015
Nature Publishing Group
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Online AccessGet full text
ISSN0028-0836
1476-4687
1476-4687
DOI10.1038/nature14177

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Summary: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. A genome-wide association study and Metabochip meta-analysis of body mass index (BMI) detects 97 BMI-associated loci, of which 56 were novel, and many loci have effects on other metabolic phenotypes; pathway analyses implicate the central nervous system in obesity susceptibility and new pathways such as those related to synaptic function, energy metabolism, lipid biology and adipogenesis. Genetic correlates of obesity In the second of two Articles in this issue from the GIANT Consortium, Elizabeth Speliotes and collegues conducted a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), commonly used to define obesity and assess adiposity, to find 97 BMI-associated loci, of which 56 were novel. Many of these loci have significant effects on other metabolic phenotypes. The 97 loci account for about 2.7% of BMI variation, and genome-wide estimates suggest common variation accounts for more than 20% of BMI variation. Pathway analyses implicate the central nervous system in obesity susceptibility including synaptic function, glutamate signaling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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A list of authors and affiliations appears in the Supplementary Information.
These authors jointly supervised this work.
Present address: Second Floor, B-dong, AICT Building, 145 Gwanggyo-ro, Yeongyong-gu, Suwon-si, Gyeonggi-do,443-270, South Korea.
ISSN:0028-0836
1476-4687
1476-4687
DOI:10.1038/nature14177