Literature DB >> 10597407

Description of the Genetic Analysis Workshop 11 Collaborative Study on the Genetics of Alcoholism.

H Begleiter1, T Reich, J Nurnberger, T K Li, P M Conneally, H Edenberg, R Crowe, S Kuperman, M Schuckit, F Bloom, V Hesselbrock, B Porjesz, C R Cloninger, J Rice, A Goate.   

Abstract

Problem 1 of Genetic Analysis Workshop 11 consists of data from a family study of the genetics of alcoholism and related traits contributed by the six centers making up the National Institute for Alcohol Abuse and Alcoholism sponsored by the Collaborative Study on the Genetics of Alcoholism (COGA). The family data included 1,214 members of 105 pedigrees ascertained for having three or more individuals affected with alcoholism. Data available to workshop participants included clinical phenotypes, personality measures, smoking behavior, event-related potentials, platelet monamine oxidase B activity, and a genome scan of 296 markers.

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Year:  1999        PMID: 10597407     DOI: 10.1002/gepi.1370170705

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


  16 in total

1.  Statistical tests for detection of misspecified relationships by use of genome-screen data.

Authors:  M S McPeek; L Sun
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

2.  Alcohol dependence and health care utilization in African Americans.

Authors:  Vanessa J Marshall; Nnenna Kalu; John Kwagyan; Denise M Scott; Gloria E Cain; Karen Hill; Victor Hesselbrock; Clifford L Ferguson; Robert E Taylor
Journal:  J Natl Med Assoc       Date:  2013       Impact factor: 1.798

3.  Age-of-onset of hypertension vs. a single measurement of systolic blood pressure in a combined linkage and segregation analysis.

Authors:  E Warwick Daw; Xiaoming Liu; Chih-Chieh Wu
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

4.  Genome-wide linkage analysis of age at onset of alcohol dependence: a comparison between microsatellites and single-nucleotide polymorphisms.

Authors:  Bamidele O Tayo; Yulan Liang; Saverio Stranges; Maurizio Trevisan
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

5.  Genome-wide screen for heavy alcohol consumption.

Authors:  Diego F Wyszynski; Carolien I Panhuysen; Qianli Ma; Agustin G Yip; Marsha Wilcox; Porat Erlich; Lindsay A Farrer
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

6.  X chromosome effects and their interactions with mitochondrial effects.

Authors:  Jack W Kent; Loren R Lease; Michael C Mahaney; Thomas D Dyer; Laura Almasy; John Blangero
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

7.  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

8.  The quantitative trait linkage disequilibrium test: a more powerful alternative to the quantitative transmission disequilibrium test for use in the absence of population stratification.

Authors:  Lorena M Havill; Thomas D Dyer; Dawn K Richardson; Michael C Mahaney; John Blangero
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

9.  A comparison of univariate, bivariate, and trivariate whole-genome linkage screens of genetically correlated electrophysiological endophenotypes.

Authors:  Diane M Warren; Thomas D Dyer; Charles P Peterson; Michael C Mahaney; John Blangero; Laura Almasy
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

10.  Genetic imprinting analysis for alcoholism genes using variance components approach.

Authors:  Sanjay Shete; Robert Yu
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

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