Literature DB >> 10597441

A multiple locus analysis of the collaborative study on the genetics of alcoholism data set.

S Lin1, M E Irwin, F A Wright.   

Abstract

Parametric and nonparametric statistical methods have been applied to the alcohol dependence data set collected in the Collaborative Study on the Genetics of Alcoholism (COGA). Our nonparametric linkage analyses (NPL) were based on the S(all) statistic of GENEHUNTER [Kruglyak et al., 1996] and the improved NPL statistic of GENEHUNTER-PLUS [Kong and Cox, 1997]. Based on likely regions for alcohol susceptibility genes identified from our nonparametric analyses, we reanalyzed the data using several two-locus models. We used the TMLINK program [Lathrop and Ott, 1990] in the LINKAGE package for these parametric analyses.

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Year:  1999        PMID: 10597441     DOI: 10.1002/gepi.1370170739

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


  2 in total

1.  A genome wide search for alcoholism susceptibility genes.

Authors:  Shirley Y Hill; Sa Shen; Nicholas Zezza; Eric K Hoffman; Mark Perlin; William Allan
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2004-07-01       Impact factor: 3.568

2.  Analysis of genes for alcoholism using two-disease-locus models.

Authors:  Chih-Chieh Wu; Sanjay Shete
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

  2 in total

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