A Bayesian hierarchical model for identifying significant polygenic effects while controlling for confounding and repeated measures

DOI10.1515/sagmb-2017-0044zbMath1396.92053OpenAlexW2770718486WikidataQ47307141 ScholiaQ47307141MaRDI QIDQ1670295

Peng Zhang

Publication date: 5 September 2018

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://eprints.binus.ac.id/34296/1/Check%2053-%20A%20Bayesian%20Hierarchical%20Model%20for%20Identifying%20Significant%20Polygenic%20Effects.pdf.pdf

zbMATH Keywords

EM algorithmBayesian hierarchical modelsshrinkage priorgenomic studiesMAP estimatorrice science

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Genetics and epigenetics (92D10)

Uses Software

• UniProt
• GEMMA

Cites Work

• Unnamed Item
• The Adaptive Lasso and Its Oracle Properties
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Generalized double Pareto shrinkage
• Regularization and Variable Selection Via the Elastic Net
• Model Selection and Estimation in Regression with Grouped Variables

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