Family-based Bayesian collapsing method for rare-variant association study

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http://hdl.handle.net/10138/211795

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He , L & Pitkäniemi , J M 2014 , ' Family-based Bayesian collapsing method for rare-variant association study ' , BMC proceedings , vol. 8 , no. Suppl. 1 , S37 . https://doi.org/10.1186/1753-6561-8-S1-S37

Title: Family-based Bayesian collapsing method for rare-variant association study
Author: He, Liang; Pitkäniemi, Janne Mikael
Contributor organization: Hjelt Institute (-2014)
Department of Public Health
Date: 2014
Language: eng
Number of pages: 7
Belongs to series: BMC proceedings
ISSN: 1753-6561
DOI: https://doi.org/10.1186/1753-6561-8-S1-S37
URI: http://hdl.handle.net/10138/211795
Abstract: In this study, we analyze the Genetic Analysis Workshop 18 data to identify the genes and underlying single-nucleotide polymorphisms on 11 chromosomes that exhibit significant association with systolic blood pressure. We propose a novel family-based method for rare-variant association detection based on the hierarchical Bayesian framework. The method controls spurious associations caused by population stratification, and improves the statistical power to detect not only individual rare variants, but also genes with either continuous or binary outcomes. Our method utilizes nuclear family information, and takes into account the effects of all single-nucleotide polymorphisms in a gene, using a hierarchical model. When we apply this method to the genome-wide Genetic Analysis Workshop 18 data, several genes and single-nucleotide polymorphisms are identified as potentially related to systolic blood pressure.
Subject: 3142 Public health care science, environmental and occupational health
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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