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Consistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium.

TitleConsistent directions of effect for established type 2 diabetes risk variants across populations: the population architecture using Genomics and Epidemiology (PAGE) Consortium.
Publication TypeJournal Article
Year of Publication2012
AuthorsHaiman, CA, Fesinmeyer, MD, Spencer, KL, Bůzková, P, V Voruganti, S, Wan, P, Haessler, J, Franceschini, N, Monroe, KR, Howard, BV, Jackson, RD, Florez, JC, Kolonel, LN, Buyske, S, Goodloe, RJ, Liu, S, Manson, JAE, Meigs, JB, Waters, K, Mukamal, KJ, Pendergrass, SA, Shrader, P, Wilkens, LR, Hindorff, LA, Ambite, JLuis, North, KE, Peters, U, Crawford, DC, Le Marchand, L, Pankow, JS
JournalDiabetes
Volume61
Issue6
Pagination1642-7
Date Published2012 Jun
ISSN1939-327X
KeywordsAdult, Aged, Aged, 80 and over, Alleles, Diabetes Mellitus, Type 2, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Metagenomics, Middle Aged, Population Groups, Risk, Risk Factors
Abstract<p>Common genetic risk variants for type 2 diabetes (T2D) have primarily been identified in populations of European and Asian ancestry. We tested whether the direction of association with 20 T2D risk variants generalizes across six major racial/ethnic groups in the U.S. as part of the Population Architecture using Genomics and Epidemiology Consortium (16,235 diabetes case and 46,122 control subjects of European American, African American, Hispanic, East Asian, American Indian, and Native Hawaiian ancestry). The percentage of positive (odds ratio [OR] >1 for putative risk allele) associations ranged from 69% in American Indians to 100% in European Americans. Of the nine variants where we observed significant heterogeneity of effect by racial/ethnic group (P(heterogeneity) < 0.05), eight were positively associated with risk (OR >1) in at least five groups. The marked directional consistency of association observed for most genetic variants across populations implies a shared functional common variant in each region. Fine-mapping of all loci will be required to reveal markers of risk that are important within and across populations.</p>
DOI10.2337/db11-1296
Alternate JournalDiabetes
PubMed ID22474029
PubMed Central IDPMC3357304
Grant ListK24 DK080140 / DK / NIDDK NIH HHS / United States
P30 CA015704 / CA / NCI NIH HHS / United States
U01 HG004790 / HG / NHGRI NIH HHS / United States
U01HG004790 / HG / NHGRI NIH HHS / United States
U01HG004798 / HG / NHGRI NIH HHS / United States
U01HG004801 / HG / NHGRI NIH HHS / United States
U01HG004802 / HG / NHGRI NIH HHS / United States
U01HG004803 / HG / NHGRI NIH HHS / United States