Abstract:
:Alcohol dependence is a serious public health problem. We studied data from families participating in the Collaborative Study on the Genetics of Alcoholism (COGA) and made available to participants in the Genetic Analysis Workshop 14 (GAW14) in order to search for genes predisposing to alcohol dependence. Using factor analysis, we identified four factors (F1, F2, F3, F4) related to the electroencephalogram traits. We conducted variance components linkage analysis with each of the factors. Our results using the Affymetrix single-nucleotide polymorphism dataset showed significant evidence for a novel linkage of F3 (factor comprised of the three midline channel EEG measures from the target case of the Visual Oddball experiment ttdt2, 3, 4) to chromosome 18 (LOD = 3.45). This finding was confirmed by analyses of the microsatellite data (LOD = 2.73) and Illumina SNP data (LOD = 3.30). We also demonstrated that, in a sample like the COGA data, a dense single-nucleotide polymorphism map provides better linkage signals than low-resolution microsatellite map with quantitative traits.
journal_name
BMC Genetjournal_title
BMC geneticsauthors
Yu Y,Meng Y,Ma Q,Farrell J,Farrer LA,Wilcox MAdoi
10.1186/1471-2156-6-S1-S15keywords:
subject
Has Abstractpub_date
2005-12-30 00:00:00pages
S15issn
1471-2156pii
1471-2156-6-S1-S15journal_volume
6 Suppl 1pub_type
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