A study of genetic association with electrophysiological measures related to alcoholism: GAW14 data

BMC Genet. 2005 Dec 30;6 Suppl 1(Suppl 1):S126. doi: 10.1186/1471-2156-6-S1-S126.

Abstract

Recently, alcohol-related traits have been shown to have a genetic component. Here, we study the association of specific genetic measures in one of the three sets of electrophysiological measures in families with alcoholism distributed as part of the Genetic Analysis Workshop 14 data, the NTTH (non-target case of Visual Oddball experiment for 4 electrode placements) phenotypes: ntth1, ntth2, ntth3, and ntth4. We focused on the analysis of the 786 Affymetrix markers on chromosome 4. Our desire was to find at least a partial answer to the question of whether ntth1, ntth2, ntth3, and ntth4 are separately or jointly genetically controlled, so we studied the principal components that explain most of the covariation of the four quantitative traits. The first principal component, which explains 70% of the covariation, showed association but not genetic linkage to two markers: tsc0272102 and tsc0560854. On the other hand, ntth1 appeared to be the trait driving the variation in the second principal component, which showed association and genetic linkage at markers in four regions: tsc0045058, tsc1213381, tsc0055068, and tsc0051777 at map distances 53.26, 85.42, 89.31, and 172.86, respectively. These results show that the partial answer to our starting question for this brief analysis is that the NTTH phenotypes are not jointly genetically controlled. The component ntth1 displays marked genetic linkage.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Alcoholism / genetics*
  • Alcoholism / physiopathology*
  • Chi-Square Distribution
  • Chromosomes, Human, Pair 4 / genetics
  • Congresses as Topic*
  • Databases, Genetic*
  • Electrophysiological Phenomena / genetics*
  • Genetic Linkage
  • Genome-Wide Association Study*
  • Humans
  • Phenotype
  • Polymorphism, Single Nucleotide / genetics
  • Principal Component Analysis