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A genome-wide linkage and association study using COGA data.

Xiaofeng Zhu·Richard Cooper·Donghui Kan·Guichan Cao·Xiaodong Wu
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Abstract

BACKGROUND: Genome-wide association will soon be available to use as an adjunct to traditional linkage analysis. We studied alcoholism in 119 families collected by the Collaborative Study on the Genetics of Alcoholism and made available in Genetic Analysis Workshop 14, using genome-wide linkage and association analyses. METHODS: Genome-wide linkage analysis was first performed using microsatellite markers and a region with the strongest linkage evidence was further analyzed using single-nucleotide polymorphisms (SNPs). Family based genome-wide association test was also conducted using the SNPs. RESULTS: Nonparametric linkage analysis revealed weak linkage evidence on chromosome 7, and association analysis identified SNP tsc0515272 on chromosome 3 as significantly associated with alcoholism. CONCLUSION: Linkage analysis may require large sample sizes and high quality genotyping and marker maps to adequately improve power, while association analysis could hold more promise in efforts to identify variants responsible for complex traits.

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AlcoholismCooperative BehaviorDatabases, GeneticFamilyGenetic LinkageGenome-Wide Association StudyHumansLod ScoreMicrosatellite RepeatsPolymorphism, Single NucleotideStatistics, NonparametricJournal ArticleResearch Support, N.I.H., Extramural

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Xiaofeng Zhu, Richard Cooper, Donghui Kan, Guichan Cao, Xiaodong Wu. 2005-12-30. A genome-wide linkage and association study using COGA data.. https://doi.org/10.1186/1471-2156-6-s1-s128

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