Bayesian large-scale multiple regression with summary statistics from genome-wide association studies
نویسندگان
چکیده
منابع مشابه
Supplement to “bayesian Large-scale Multiple Regression with Summary Statistics from Genome-wide Association Studies”
A Theoretical derivation of RSS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1 Proofs of propositions in main text . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1.1 Proof of Proposition 2.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A.1.2 Proof of Proposition 2.2 . . . . . . . . . . . . . . ....
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Single-locus analysis is often used to analyze genome-wide association (GWA) data, but such analysis is subject to severe multiple comparisons adjustment. Multivariate logistic regression is proposed to fit a multi-locus model for case-control data. However, when the sample size is much smaller than the number of single-nucleotide polymorphisms (SNPs) or when correlation among SNPs is high, tra...
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Meta-analysis of single trait for multiple cohorts has been used for increasing statistical power in genome-wide association studies (GWASs). Although hundreds of variants have been identified by GWAS, these variants only explain a small fraction of phenotypic variation. Cross-phenotype association analysis (CPASSOC) can further improve statistical power by searching for variants that contribut...
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ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2017
ISSN: 1932-6157
DOI: 10.1214/17-aoas1046