A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

MedStar author(s):
Citation: Nature Genetics. 45(6):690-6, 2013 Jun.PMID: 23583978Institution: MedStar Health Research InstituteForm of publication: Journal ArticleMedline article type(s): Journal Article | Meta-Analysis | Research Support, N.I.H., Extramural | Research Support, N.I.H., Intramural | Research Support, Non-U.S. Gov't | Research Support, U.S. Gov't, Non-P.H.S.Subject headings: *African Americans/ge [Genetics] | *Body Mass Index | *Obesity/ge [Genetics] | Case-Control Studies | Gene Frequency | Genetic Loci | Genetic Predisposition to Disease | Genome-Wide Association Study | Humans | Linkage Disequilibrium | Obesity/eh [Ethnology] | Polymorphism, Single NucleotideISSN:
  • 1061-4036
Name of journal: Nature geneticsAbstract: Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 x 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 x 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 x 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 x 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.All authors: Ademola A, Adeyemo AA, AGEN Consortium, Aldrich MC, Allison MA, Ambrosone CB, Ambs S, Amos CI, Arnett DK, Atwood L, Bandera EV, Becker DM, Berndt SI, Bernstein L, Bielak LF, BioBank Japan Project, Blot WJ, Bock CH, Borecki IB, Bottinger EP, Bowden DW, Bradfield JP, Britton A, Broeckel U, Burke G, Cai Q, Caporaso NE, Carlson CS, Carpten J, Casey G, Chanock SJ, Chen F, Chen G, Chen GK, Chen WM, Chen YD, Chiang CW, Chu L, Coetzee GA, Cooper RS, Cushman M, Demerath E, Deming-Halverson SL, Ding J, Driver RW, Dubbert P, Duggan D, Edwards DR, Edwards TL, Evans MK, Feitosa MF, Feng Y, Fernandes JK, Fox C, Freedman BI, Garvey WT, Gilkeson GS, Gillanders EM, Goodman PJ, Gottesman O, Graff M, Grant SF, Guo X, Haiman CA, Hakonarson H, Haritunians T, Harris CC, Harris T, Henderson BE, Hennis AJ, Hernandez DG, Hirschhorn JN, Howard BV, Howard TD, Howard VJ, Hsing A, Hu JJ, Hunt KJ, Huo D, Ingles SA, Irvin MR, John EM, Johnson KC, Jordan JM, Kabagambe EK, Kamen DL, Kang SJ, Kardia SL, Keating BJ, Ketkar S, Kittles RA, Klein EA, Kolb S, Kolonel LN, Kooperberg C, Kuller LH, Kutlar A, Lange LA, Langefeld CD, Le Marchand L, Leske MC, Lettre G, Levin AM, Li G, Liu S, Liu Y, Lohman K, Loos RJ, Lotay V, Lu Y, Lyon H, Maixner W, Manson JE, McKnight B, McNeill LH, Meng YA, Millikan RC, Monda KL, Monroe KR, Moore JH, Morhason-Bello I, Mosley TH, Murphy AB, Mychaleckyj JC, N'diaye A, NABEC Consortium, Nadukuru R, Nalls MA, Nathanson KL, Nayak U, Nemesure B, Neslund-Dudas C, Neuhouser M, Ng MC, North KE, Nyante S, Ochs-Balcom H, Ogundiran TO, Ogunniyi A, Ojengbede O, Olopade OI, Padhukasahasram B, Palmer C, Palmer JR, Palmer ND, Papanicolaou GJ, Patel SR, Peters U, Pettaway CA, Peyser PA, Press MF, Psaty BM, Rampersaud E, Rasmussen-Torvik LJ, Redline S, Reiner AP, Rhie SK, Rodriguez-Gil JL, Rotimi CN, Ruiz-Narvaez EA, Rybicki BA, Salako B, Sale MM, Schadt EE, Schreiner PJ, Schwartz AG, Shriner DA, Signorello LB, Singleton AB, Siscovick D, Smith SB, Speliotes EK, Spitz MR, Spruill IJ, Stanford JL, Strom SS, Sucheston L, Sun YV, Taylor H, Taylor KC, Tayo BO, Thun MJ, Tucker MA, UKBEC Consortium, Van Den Berg DJ, Vitolins M, Wang Z, Wassertheil-Smoller S, Wiencke JK, Williams LK, Williams SM, Winkler TW, Witte JS, Wojczynski MK, Wrensch M, Wu SY, Wu X, Yanek LR, Yang JJ, Young TR, Zakai NA, Zanetti KA, Zhao JH, Zhao W, Zheng W, Zheng Y, Zhou J, Zhu X, Ziegler RG, Zmuda JM, Zonderman ABDigital Object Identifier: Date added to catalog: 2013-09-17
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Journal Article MedStar Authors Catalog Article Available 23583978

Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 x 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 x 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 x 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 x 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

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