A genome-wide scanning and fine mapping study of COGA data.
A thorough genetic mapping study was performed to identify predisposing genes for alcoholism dependence using the Collaborative Study on the Genetics of Alcoholism (COGA) data. The procedure comprised whole-genome linkage and confirmation analyses, single locus and haplotype fine mapping analyses, and gene x environment haplotype regression. Stratified analysis was considered to reduce the ethnic heterogeneity and simultaneously family-based and case-control study designs were applied to detect potential genetic signals. By using different methods and markers, we found high linkage signals at D1S225 (253.7 cM), D1S547 (279.2 cM), D2S1356 (64.6 cM), and D7S2846 (56.8 cM) with nonparametric linkage scores of 3.92, 4.10, 4.44, and 3.55, respectively. We also conducted haplotype and odds ratio analyses, where the response was the dichotomous status of alcohol dependence, explanatory variables were the inferred individual haplotypes and the three statistically significant covariates were age, gender, and max drink (the maximum number of drinks consumed in a 24-hr period). The final model identified important AD-related haplotypes within a candidate region of NRXN1 at 2p21 and a few others in the inter-gene regions. The relative magnitude of risks to the identified risky/protective haplotypes was elucidated.
Yang
Hsin-Chou
HC
Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan. hsinchou@ibms.sinica.edu.tw
Chang
Chien-Ching
CC
Lin
Chin-Yu
CY
Chen
Chun-Liang
CL
Lin
Chin-Yu
CY
Fann
Cathy S J
CS
D000437:Alcoholism / Q000235:genetics*; D003299:Cooperative Behavior; D055106:Genome-Wide Association Study; D006239:Haplotypes / Q000235:genetics; D006801:Humans; D015810:Linkage Disequilibrium / Q000235:genetics; D020161:Physical Chromosome Mapping; D018709:Statistics, Nonparametric