Email updates

Keep up to date with the latest news and articles from BMC Genetics and BioMed Central.

This article is part of the supplement: Genetic Analysis Workshop 14: Microsatellite and single-nucleotide polymorphism

Open Access Proceedings

A genome-wide scanning and fine mapping study of COGA data

Hsin-Chou Yang1, Chien-Ching Chang1, Chin-Yu Lin2, Chun-Liang Chen1, Chin-Yu Lin1 and Cathy SJ Fann1,2*

Author Affiliations

1 Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

2 Institute of Public Health, Yang-Ming University, Taipei, Taiwan

For all author emails, please log on.

BMC Genetics 2005, 6(Suppl 1):S30 doi:10.1186/1471-2156-6-S1-S30

Published: 30 December 2005

Abstract

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 × 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.