Hdl Handle:
http://hdl.handle.net/10675.2/93
Title:
COGA phenotypes and linkages on chromosome 2.
Authors:
Wiener, Howard W; Go, Rodney C P; Tiwari, Hemant; George, Varghese; Page, Grier P
Abstract:
An initial linkage analysis of the alcoholism phenotype as defined by DSM-III-R criteria and alcoholism defined by DSM-IV criteria showed many, sometimes striking, inconsistencies. These inconsistencies are greatly reduced by making the definition of alcoholism more specific. We defined new phenotypes combining the alcoholism definitions and the latent variables, defining an individual as affected if that individual is alcoholic under one of the definitions (either DSM-III-R or DSM-IV), and indicated having a symptom defined by one of the latent variables. This was done for each of the two alcoholism definitions and five latent variables, selected from a canonical discriminant analyses indicating they formed significant groupings using the electrophysiological variables. We found that linkage analyses utilizing these latent variables were much more robust and consistent than the linkage results based on DSM-III-R or DSM-IV criteria for definition of alcoholism. We also performed linkage analyses on two first principal components derived phenotypes, one derived from the electrophysiological variables, and the other derived from the latent variables. A region on chromosome 2 at 250 cM was found to be linked to both of these derived phenotypes. Further examination of the SNPs in this region identified several haplotypes strongly associated with these derived phenotypes.
Citation:
BMC Genet. 2005 Dec 30; 6(Suppl 1):S125
Issue Date:
19-Jan-2010
URI:
http://hdl.handle.net/10675.2/93
DOI:
10.1186/1471-2156-6-S1-S125
PubMed ID:
16451583
PubMed Central ID:
PMC1866812
Type:
Journal Article; Research Support, N.I.H., Extramural
ISSN:
1471-2156
Appears in Collections:
Department of Biostatistics and Epidemiology: Faculty Research and Publications

Full metadata record

DC FieldValue Language
dc.contributor.authorWiener, Howard Wen_US
dc.contributor.authorGo, Rodney C Pen_US
dc.contributor.authorTiwari, Hemanten_US
dc.contributor.authorGeorge, Vargheseen_US
dc.contributor.authorPage, Grier Pen_US
dc.date.accessioned2010-09-24T21:59:01Zen
dc.date.available2010-09-24T21:59:01Zen
dc.date.issued2010-01-19en_US
dc.identifier.citationBMC Genet. 2005 Dec 30; 6(Suppl 1):S125en_US
dc.identifier.issn1471-2156en_US
dc.identifier.pmid16451583en_US
dc.identifier.doi10.1186/1471-2156-6-S1-S125en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/93en
dc.description.abstractAn initial linkage analysis of the alcoholism phenotype as defined by DSM-III-R criteria and alcoholism defined by DSM-IV criteria showed many, sometimes striking, inconsistencies. These inconsistencies are greatly reduced by making the definition of alcoholism more specific. We defined new phenotypes combining the alcoholism definitions and the latent variables, defining an individual as affected if that individual is alcoholic under one of the definitions (either DSM-III-R or DSM-IV), and indicated having a symptom defined by one of the latent variables. This was done for each of the two alcoholism definitions and five latent variables, selected from a canonical discriminant analyses indicating they formed significant groupings using the electrophysiological variables. We found that linkage analyses utilizing these latent variables were much more robust and consistent than the linkage results based on DSM-III-R or DSM-IV criteria for definition of alcoholism. We also performed linkage analyses on two first principal components derived phenotypes, one derived from the electrophysiological variables, and the other derived from the latent variables. A region on chromosome 2 at 250 cM was found to be linked to both of these derived phenotypes. Further examination of the SNPs in this region identified several haplotypes strongly associated with these derived phenotypes.en_US
dc.rightsThe PMC Open Access Subset is a relatively small part of the total collection of articles in PMC. Articles in the PMC Open Access Subset are still protected by copyright, but are made available under a Creative Commons or similar license that generally allows more liberal redistribution and reuse than a traditional copyrighted work. Please refer to the license statement in each article for specific terms of use. The license terms are not identical for all articles in this subset.en_US
dc.subject.meshAlcoholism / geneticsen_US
dc.subject.meshChromosomes, Human, Pair 2 / geneticsen_US
dc.subject.meshCooperative Behavioren_US
dc.subject.meshElectroencephalographyen_US
dc.subject.meshHumansen_US
dc.subject.meshLinkage (Genetics)en_US
dc.subject.meshMicrosatellite Repeats / geneticsen_US
dc.subject.meshPhenotypeen_US
dc.subject.meshPhysical Chromosome Mappingen_US
dc.subject.meshPolymorphism, Single Nucleotide / geneticsen_US
dc.subject.meshPrincipal Component Analysisen_US
dc.titleCOGA phenotypes and linkages on chromosome 2.en_US
dc.typeJournal Articleen_US
dc.typeResearch Support, N.I.H., Extramuralen_US
dc.identifier.pmcidPMC1866812en_US
dc.contributor.corporatenameDepartment of Biostatistics and Epidemiologyen_US
All Items in Scholarly Commons are protected by copyright, with all rights reserved, unless otherwise indicated.