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

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.

SUBMITTER: Li Y

PROVIDER: S-EPMC4143774 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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

Li Yi Y Foo Jia Nee JN Liany Herty H Low Hui-Qi HQ Liu Jianjun J

BMC proceedings 20140617 Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo

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 ge ...[more]

PMID: 25519379

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