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Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
Authors:Zeggini Eleftheria  Scott Laura J  Saxena Richa  Voight Benjamin F  Marchini Jonathan L  Hu Tianle  de Bakker Paul I W  Abecasis Gonçalo R  Almgren Peter  Andersen Gitte  Ardlie Kristin  Boström Kristina Bengtsson  Bergman Richard N  Bonnycastle Lori L  Borch-Johnsen Knut  Burtt Noël P  Chen Hong  Chines Peter S  Daly Mark J  Deodhar Parimal  Ding Chia-Jen  Doney Alex S F  Duren William L  Elliott Katherine S  Erdos Michael R  Frayling Timothy M  Freathy Rachel M  Gianniny Lauren  Grallert Harald  Grarup Niels  Groves Christopher J  Guiducci Candace  Hansen Torben  Herder Christian  Hitman Graham A  Hughes Thomas E  Isomaa Bo
Institution:Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Abstract:Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.
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