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

DOI10.1214/17-AOAS1046zbMath1380.62263WikidataQ49334627 ScholiaQ49334627MaRDI QIDQ1684236

Matthew Stephens, Xiang Zhu

Publication date: 8 December 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

heritabilityMarkov chain Monte Carlosummary statisticsvariable selectionBayesian regressionexplained variationgenome wide association studymultiple-SNP analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Protein sequences, DNA sequences (92D20) Paired and multiple comparisons; multiple testing (62J15)

Related Items (5)

REMI: REGRESSION WITH MARGINAL INFORMATION AND ITS APPLICATION IN GENOME-WIDE ASSOCIATION STUDIES ⋮ A fast regression via SVD and marginalization ⋮ Probabilistic HIV recency classification -- a logistic regression without labeled individual level training data ⋮ RSS ⋮ Semi-supervised learning with summary statistics

Uses Software

• GitHub

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