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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_swepub_ki_se_515703

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

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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. , The PAGE Consortium , The International Endogene Consortium , The MAGIC Investigators , The ReproGen Consortium , The CKDGen Consortium , The ADIPOGen Consortium , The ICBP , The CARDIOGRAMplusC4D Consortium , The GLGC , The GENIE Consortium , The AGEN-BMI Working Group , The MIGen Consortium , The MuTHER Consortium , The LifeLines Cohort Study , ADIPOGen Consortium , PAGE Consortium , LifeLines Cohort Study , MIGen Consortium , CARDIOGRAMplusC4D Consortium , MuTHER Consortium , ICBP , International Endogene Consortium , CKDGen Consortium , GENIE Consortium , MAGIC Investigators , ReproGen Consortium , AGEN-BMI Working Group , GLGC , Faculty of Medicine , Medicinska fakulteten , Strategiska forskningsområden (SFO) , Translationell muskelforskning , EpiHealth: Epidemiology for Health , Institutionen för kliniska vetenskaper, Malmö , Strategic research areas (SRA) , Genetisk och molekylär epidemiologi , Lunds universitet , Translational Muscle Research , Profilområden och andra starka forskningsmiljöer , Lund University , EXODIAB: Excellence of Diabetes Research in Sweden , Profile areas and other strong research environments , Genetic and Molecular Epidemiology and Department of Clinical Sciences, Malmö

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London: Nature Publishing Group UK

Journal title

Nature (London), 2015-02, Vol.518 (7538), p.197-206

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English

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London: Nature Publishing Group UK

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Contents

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...