Literature DB >> 10597450

Genome-wide linkage analysis using genetic variance components of alcohol dependency-associated censored and continuous traits.

L J Palmer1, K J Tiller, P R Burton.   

Abstract

We used variance-components analysis to investigate the additive genetic effects regulating some of the phenotypes included in the GAW11 data set. Variance-components models were fitted using Gibbs sampling methods in BUGS v 0.6. Linkage analyses for both multivariate normal (MvN) traits and right censored survival times (age-of-onset) were based upon standard Haseman-Elston identity-by-descent sib-pair methods applied directly to traits showing evidence of substantial additive genetic determination (residualized for any important covariates) and to the estimated sigma A2 residuals for those traits. Harm avoidance behavior (TPQ subscale) showed evidence of linkage to markers on chromosomes 1, 13, and 18. P300 levels at the Fp1 site showed evidence of linkage to markers on chromosomes 2, 3, 9, 12, 17, 19, and 20. Platelet monoamine oxidase B (MAOB) levels showed evidence of linkage to D4S1651. The age-of-onset for ALDX1 in those over 30 years old showed evidence of linkage to markers on chromosomes 1, 6, 14, and 15. The age-of-onset for the more strictly defined ALDX2 in those over 30 years old showed evidence of linkage to markers on chromosomes 7 and 14. These results are consistent with a complex, multifactorial susceptibility to alcohol dependency.

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Year:  1999        PMID: 10597450     DOI: 10.1002/gepi.1370170748

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


  6 in total

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2.  Evaluation of a bayesian model integration-based method for censored data.

Authors:  Liping Hou; Kai Wang; Christopher W Bartlett
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3.  Efficient semiparametric estimation of short-term and long-term hazard ratios with right-censored data.

Authors:  Guoqing Diao; Donglin Zeng; Song Yang
Journal:  Biometrics       Date:  2013-11-04       Impact factor: 2.571

4.  Longitudinal variance components models for systolic blood pressure, fitted using Gibbs sampling.

Authors:  Katrina J Scurrah; Martin D Tobin; Paul R Burton
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

5.  Variance-components methods for linkage and association analysis of ordinal traits in general pedigrees.

Authors:  G Diao; D Y Lin
Journal:  Genet Epidemiol       Date:  2010-04       Impact factor: 2.135

6.  Genome-wide linkage analysis of longitudinal phenotypes using sigma2A random effects (SSARs) fitted by Gibbs sampling.

Authors:  Lyle J Palmer; Katrina J Scurrah; Martin Tobin; Sanjay R Patel; Juan C Celedon; Paul R Burton; Scott T Weiss
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  6 in total

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