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BioMed Central, BMC Proceedings, S1(8), 2014

DOI: 10.1186/1753-6561-8-s1-s29

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Combined linkage and family-based association analysis improves candidate gene detection in Genetic Analysis Workshop 18 simulation data

Journal article published in 2014 by Yi Li, Jia Nee Foo ORCID, Herty Liany, Hui-Qi Low, Jianjun Liu
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Abstract Because the genotype-phenotype correlation information is investigated differently by linkage and association analyses, various efforts have been made to model linkage and association jointly. However, joint modeling methods are usually computationally intensive; hence they cannot currently accommodate large pedigrees with dense markers. This article proposes a simple method to combine the linkage and association evidence with the aim of improving the detection power of disease susceptibility genes. Our detection power comparisons show that the combined linkage-association p values can improve remarkably the causal gene detection power in Genetic Analysis Workshop 18 simulation data.