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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Exploring the impact of extended phenotype in stratified samples
I Kovac1, E Rouillard, C Mérette
1Department of Biology, Allan Memorial Institute, McGill University, Montreal, Quebéc, Canada.
Genetic Epidemiology
|December 22, 1999
Summary
Stratifying alcoholism (ALDX1) patients by age of onset improved genetic linkage findings. Late-onset alcoholism showed stronger evidence for linkage at the ADH3 gene, unlike early-onset cases.
Area of Science:
- Genetics
- Psychiatry
- Addiction Research
Background:
- Alcoholism (ALDX1) is a complex etiological trait with potential genetic underpinnings.
- Previous studies have identified potential linkage regions for alcoholism.
- Stratification by age of onset may reveal distinct genetic factors.
Purpose of the Study:
- To investigate the influence of age of onset on genetic linkage for alcoholism.
- To examine linkage at the ADH3 candidate gene in early and late-onset alcoholism subgroups.
- To assess the impact of phenotypic definitions and subgrouping on linkage analysis.
Main Methods:
- Nonparametric sib-pair genome scans were conducted on early (N=52) and late (N=53) onset subgroups of the Collaborative Study on the Genetics of Alcoholism (COGA) pedigrees.
- Traits analyzed included alcoholism (ALDX1), smoking, and addiction (alcoholism or smoking).
- Linkage analyses were corrected for the number of traits analyzed.
Main Results:
- Evidence for linkage to the ALDX1 alcoholism phenotype at the ADH3 gene was significantly increased in the late-onset subgroup (Bonferroni corrected p < 0.002).
- This finding replicated previous COGA linkage results in the unstratified sample.
- No evidence for linkage was found at this locus in the early-onset subgroup.
Conclusions:
- Stratifying alcoholism by age of onset can enhance the detection of genetic linkage.
- The late-onset subgroup, potentially more homogeneous, showed stronger evidence for linkage at ADH3.
- Subgrouping can overcome the loss of statistical power from reduced sample size by increasing etiological homogeneity.
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