Ten groups set out to study the genetics of alcoholism, using various measures of alcohol dependence such as Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria, and related endophenotypes such as the electrophysiological evaluation of event-related potentials. The groups used both genome-wide microsatellite and single-nucleotide polymorphism (SNP) genotyping data in families selected from the Collaborative Study on the Genetics of Alcoholism. The majority of investigators studied alcohol-related phenotypes and chose linkage rather than association analysis. The analysis of SNP data presented several challenges, including marker linkage disequilibrium issues and computational limitations. Many groups pursued novel techniques, both in dealing with the SNP data and the definition of phenotypes. While there was a limited amount of concordance among linkage findings, it was very instructive to see so many new strategies at work. Generally the SNP genotype data seemed to yield more information for multipoint linkage analysis than the microsatellite data, a finding that will benefit the genetic analysis of complex disease in the future. A novel linkage peak was detected using the SNP markers.

Original languageEnglish
Pages (from-to)S96-S102
JournalGenetic Epidemiology
Issue numberSUPPL.
StatePublished - 2005


  • Alcohol dependence
  • Association analysis
  • Electrophysiology
  • Linkage analysis
  • SNP


Dive into the research topics of 'Alcoholism and related traits: A summary of Group 13 contributions'. Together they form a unique fingerprint.

Cite this