a genome-wide meta-analysis of six type 1 diabetes cohorts identifies multiple associated loci6个1型糖尿病人群的全基因组分析识别多个位点有关.pdfVIP

A Genome-Wide Meta-Analysis of Six Type 1 Diabetes Cohorts Identifies Multiple Associated Loci 1 2¤ 1 1 1 1 Jonathan P. Bradfield , Hui-Qi Qu , Kai Wang , Haitao Zhang , Patrick M. Sleiman , Cecilia E. Kim , 1 1 1 1 1 Frank D. Mentch , Haijun Qiu , Joseph T. Glessner , Kelly A. Thomas , Edward C. Frackelton , Rosetta M. 1 1 3,4 1 1 1,3,5 Chiavacci , Marcin Imielinski , Dimitri S. Monos , Rahul Pandey , Marina Bakay , Struan F. A. Grant , Constantin Polychronakos2*, Hakon Hakonarson1,3,5* 1The Center for Applied Genomics, The Children’s Hospital Philadelphia, Philadelphia, Pennsylvania, United States of America, 2 Departments of Pediatrics and Human Genetics, McGill University, Montreal, Canada, 3 Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America, 4 Department of Pathology and Laboratory Medicine, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America, 5 Division of Human Genetics, Abramson Research Center, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America Abstract Diabetes impacts approximately 200 million people worldwide, of whom approximately 10% are affected by type 1 diabetes (T1D). The application of genome-wide association studies (GWAS) has robustly revealed dozens of genetic contributo