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Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility
 

Summary: Meta-analysis of genome-wide association data and
large-scale replication identifies additional susceptibility
loci for type 2 diabetes
Eleftheria Zeggini1,10, Laura J Scott2,10, Richa Saxena38,10 & Benjamin F Voight35,7,10, for the Diabetes
Genetics Replication And Meta-analysis (DIAGRAM) Consortium9
Genome-wide association (GWA) studies have identified
multiple loci at which common variants modestly but
reproducibly influence risk of type 2 diabetes (T2D)111.
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 B2.2 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 1014), CDC123-CAMK1D (P 1.2 1010),
TSPAN8-LGR5 (P 1.1 109), THADA (P 1.1 109),

  

Source: Abecasis, Goncalo - Department of Biostatistics, University of Michigan

 

Collections: Biology and Medicine; Mathematics