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Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci

2008; Nature Portfolio; Volume: 40; Issue: 12 Linguagem: Inglês

10.1038/ng.249

1546-1718

Jason D. Cooper, Deborah J. Smyth, Adam M. Smiles, Vincent Plagnol, Neil Walker, James E. Allen, Kate Downes, Jeffrey C. Barrett, Barry Healy, Josyf C. Mychaleckyj, James H. Warram, John A. Todd,

Endoplasmic Reticulum Stress and Disease

Jason Cooper and colleagues identify four new risk loci for type 1 diabetes through a meta-analysis of data from three genome-wide association studies, with replication in additional case-control and family-based samples, providing further insights into the genetic risk factors underlying this disease. We carried out a meta-analysis of data from three genome-wide association (GWA) studies of type 1 diabetes (T1D), testing 305,090 SNPs in 3,561 T1D cases and 4,646 controls of European ancestry. We obtained further support for 4q27 (IL2-IL21, P = 1.9 × 10−8) and, after genotyping an additional 6,225 cases, 6,946 controls and 2,828 families, convincing evidence for four previously unknown and distinct risk loci in chromosome regions 6q15 (BACH2, P = 4.7 × 10−12), 10p15 (PRKCQ, P = 3.7 × 10−9), 15q24 (CTSH, P = 3.2 × 10−15) and 22q13 (C1QTNF6, P = 2.0 × 10−8).