A Bayesian method for detecting and characterizing allelic heterogeneity and boosting signals in genome-wide association studies

DOI10.1214/09-STS311zbMath1329.62437arXiv1010.4670OpenAlexW3105759784MaRDI QIDQ908117

Jonathan Marchini, The Wellcome Trust Case Control Consortium, Zhan Su, Peter Donnelly, Niall Cardin

Publication date: 3 February 2016

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1010.4670

zbMATH Keywords

Bayesian methodsgenome-wide associationallelic heterogeneitycomplex disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Genetics and epigenetics (92D10) Paired and multiple comparisons; multiple testing (62J15)

Related Items (1)

Methodological issues in multistage genome-wide association studies

Cites Work

• Gene mapping via the ancestral recombination graph
• From Genotypes to Genes: Doubling the Sample Size
• Inference in Molecular Population Genetics

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