Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

Preprint, Other literature type English OPEN
Stephens, Matthew; Zhu, Xiang;
(2017)
  • Publisher: The Institute of Mathematical Statistics
  • Journal: issn: 1932-6157
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1214/17-AOAS1046, doi: 10.1101/042457
  • Subject: bepress|Life Sciences|Biology | Summary statistics | Markov chain Monte Carlo | Bayesian regression | bepress|Life Sciences|Genetics and Genomics|Genetics | association study | variable selection | explained variation | genome wide | multiple-SNP analysis | heritability

Bayesian methods for large-scale multiple regression provide attractive approaches to the analysis of genome-wide association studies (GWAS). For example, they can estimate heritability of complex traits, allowing for both polygenic and sparse models; and by incorporati... View more
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