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Activity Number:
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667
- Statistical Genetics
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Type:
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Contributed
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Date/Time:
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Thursday, August 3, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #323912
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View Presentation
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Title:
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A Powerful Approach to Estimating Annotation-Stratified Genetic Correlation Using GWAS Summary Statistics
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Author(s):
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Qiongshi Lu* and Boyang Li and Derek Ou and Yiming Hu and Ryan Powles and Tony Jiang and Margret Erlendsdottir and David Chang and Chentian Jin and Wei Dai and Qidu He and Zefeng Liu and Shubhabrata Mukherjee and Paul K. Crane and Hongyu Zhao
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Companies:
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Yale University and Yale University and Yale School of Medicine and Yale University and Yale University and Yale College and Yale School of Medicine and Yale University and Yale College and Yale University and Shanghai Jiao Tong University and Shanghai Jiao Tong University and University of Washington and University of Washington and Yale University
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Keywords:
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genetic correlation ;
GWAS ;
summary statistics ;
neurodegeneration
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Abstract:
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Despite success of large-scale genome-wide association studies (GWAS), our understanding of complex diseases' genetic architecture is incomplete. Integrative analysis of GWAS data and systematic functional genome annotations has provided insights into the genetic basis of complex diseases. Here we introduce a principled framework to estimate annotation-dependent genetic correlation using GWAS summary statistics. We demonstrate that our method provides accurate correlation estimates and powerful statistical inference through numerical simulations. We provide an atlas of genetic correlations for 50 complex traits through integrative analysis of publicly available GWAS summary statistics (ntotal ?4.5 million). Applied to late-onset Alzheimer's disease (LOAD) and amyotrophic lateral sclerosis (ALS), two major neurodegenerative diseases, our method identified strong genetic correlation in common SNPs and in the predicted functional genome. Joint analysis of LOAD, ALS, and 50 complex traits highlights LOAD's correlation with cognition and hints at an autoimmune component for ALS. Our findings provide novel insights into both the shared and distinct genetic architecture of complex traits.
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Authors who are presenting talks have a * after their name.
