作者
Seth A Sharp, Stephen S Rich, Andrew R Wood, Samuel E Jones, Robin N Beaumont, James W Harrison, Darius A Schneider, Jonathan M Locke, Jess Tyrrell, Michael N Weedon, William A Hagopian, Richard A Oram
发表日期
2019/2/1
期刊
Diabetes care
卷号
42
期号
2
页码范围
200-207
出版商
American Diabetes Association
简介
OBJECTIVE
Previously generated genetic risk scores (GRSs) for type 1 diabetes (T1D) have not captured all known information at non-HLA loci or, particularly, at HLA risk loci. We aimed to more completely incorporate HLA alleles, their interactions, and recently discovered non-HLA loci into an improved T1D GRS (termed the “T1D GRS2”) to better discriminate diabetes subtypes and to predict T1D in newborn screening studies.
RESEARCH DESIGN AND METHODS
In 6,481 case and 9,247 control subjects from the Type 1 Diabetes Genetics Consortium, we analyzed variants associated with T1D both in the HLA region and across the genome. We modeled interactions between variants marking strongly associated HLA haplotypes and generated odds ratios to create the improved GRS, the T1D GRS2. We validated our findings in UK Biobank. We assessed the impact of the T1D …
学术搜索中的文章
SA Sharp, SS Rich, AR Wood, SE Jones… - Diabetes care, 2019