Literature DB >> 16342188

Alcoholism and related traits: a summary of Group 13 contributions.

John P Rice1, Scott F Saccone.   

Abstract

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.

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Year:  2005        PMID: 16342188     DOI: 10.1002/gepi.20116

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  4 in total

1.  Polymorphisms in ABLIM1 are associated with personality traits and alcohol dependence.

Authors:  Ke-Sheng Wang; Xuefeng Liu; Nagesh Aragam; Jerald E Mullersman; Xueqiu Jian; Yue Pan; Yali Liu
Journal:  J Mol Neurosci       Date:  2011-05-06       Impact factor: 3.444

2.  Family-based association analysis of alcohol dependence in the COGA sample and replication in the Australian twin-family study.

Authors:  Ke-Sheng Wang; Xuefeng Liu; Nagesh Aragam; Xueqiu Jian; Jerald E Mullersman; Yali Liu; Yue Pan
Journal:  J Neural Transm (Vienna)       Date:  2011-03-29       Impact factor: 3.575

3.  Association of ADAM10 and CAMK2A polymorphisms with conduct disorder: evidence from family-based studies.

Authors:  Xue-Qiu Jian; Ke-Sheng Wang; Tie-Jian Wu; Joel J Hillhouse; Jerald E Mullersman
Journal:  J Abnorm Child Psychol       Date:  2011-08

Review 4.  Electrophysiological Endophenotypes for Schizophrenia.

Authors:  Emily M Owens; Peter Bachman; David C Glahn; Carrie E Bearden
Journal:  Harv Rev Psychiatry       Date:  2016 Mar-Apr       Impact factor: 3.732

  4 in total

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