title: Linkage analysis and association analysis in the presence of linkage using age at onset of COGA alcoholism data.
abstract: Complex disease mapping usually involves a combination of linkage and association techniques. Linkage analysis can scan the entire genome in a few hundred tests. Association tests may involve an even greater number of tests. However, association tests can localize the susceptibility genes more accurately. Using a recently developed combined linkage and association strategy, we analyzed a subset of the Collaborative Study on the Genetics of Alcoholism (COGA) data for the Genetic Analysis Workshop 14 (GAW14). In this analysis, we first employed linkage analysis based on frailty models that take into account age of onset information to establish which regions along the chromosome are likely to harbor disease susceptibility genes for alcohol dependence. Second, we used an association analysis by exploiting linkage disequilibrium to narrow down the peak regions. We also compare the methods with mean identity-by-descent tests and transmission/disequilibrium tests that do not use age of onset information.
authors.affiliation: Yale University School of Medicine, New Haven, Connecticut, USA. Xiaoyun.Zhong@yale.edu
authors.forename: Xiaoyun
authors.initials: X
authors.lastname: Zhong
authors.forename: Heping
authors.initials: H
authors.lastname: Zhang
mesh_terms: D017668:Age of Onset; D000437:Alcoholism / Q000453:epidemiology* / Q000235:genetics*; D002874:Chromosome Mapping; D002881:Chromosomes, Human, Pair 12 / Q000235:genetics; D002897:Chromosomes, Human, Pair 7 / Q000235:genetics; D003299:Cooperative Behavior; D030541:Databases, Genetic; D005260:Female; D008040:Genetic Linkage; D055106:Genome-Wide Association Study; D006801:Humans; D008297:Male; D012727:Sex Characteristics; D012907:Smoking / Q000009:adverse effects / Q000235:genetics