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Genetic analysis of the maximum drinks phenotype

Using data provided by the Collaborative Study on the Genetics of Alcoholism we studied the genetics of a quantitative trait: the maximum number of drinks consumed in a 24-hour period. A two-stage method was used. First, linkage analysis was performed, followed by association analysis in regions whe...

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Detalles Bibliográficos
Autores principales: Saccone, Scott F, Saccone, Nancy L, Neuman, Rosalind J, Rice, John P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866813/
https://www.ncbi.nlm.nih.gov/pubmed/16451582
http://dx.doi.org/10.1186/1471-2156-6-S1-S124
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author Saccone, Scott F
Saccone, Nancy L
Neuman, Rosalind J
Rice, John P
author_facet Saccone, Scott F
Saccone, Nancy L
Neuman, Rosalind J
Rice, John P
author_sort Saccone, Scott F
collection PubMed
description Using data provided by the Collaborative Study on the Genetics of Alcoholism we studied the genetics of a quantitative trait: the maximum number of drinks consumed in a 24-hour period. A two-stage method was used. First, linkage analysis was performed, followed by association analysis in regions where linkage was detected. Additionally, the extent of linkage disequilibrium among single-nucleotide polymorphisms (SNP) associated with the phenotype was assessed. Linkage to chromosomes 2 and 7 was detected, and follow-up association analysis found multiple trait-associated SNPs in the chromosome 7 linkage region. Chromosome 4, which has been implicated in previous studies of the maximum drinks phenotype, did not pass our threshold for linkage evidence in stage 1, but secondary analyses of this chromosome indicated modest evidence for both linkage and association. The evidence suggests that chromosome 7 may harbor an additional locus influencing the maximum drinks consumption phenotype.
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spelling pubmed-18668132007-05-11 Genetic analysis of the maximum drinks phenotype Saccone, Scott F Saccone, Nancy L Neuman, Rosalind J Rice, John P BMC Genet Proceedings Using data provided by the Collaborative Study on the Genetics of Alcoholism we studied the genetics of a quantitative trait: the maximum number of drinks consumed in a 24-hour period. A two-stage method was used. First, linkage analysis was performed, followed by association analysis in regions where linkage was detected. Additionally, the extent of linkage disequilibrium among single-nucleotide polymorphisms (SNP) associated with the phenotype was assessed. Linkage to chromosomes 2 and 7 was detected, and follow-up association analysis found multiple trait-associated SNPs in the chromosome 7 linkage region. Chromosome 4, which has been implicated in previous studies of the maximum drinks phenotype, did not pass our threshold for linkage evidence in stage 1, but secondary analyses of this chromosome indicated modest evidence for both linkage and association. The evidence suggests that chromosome 7 may harbor an additional locus influencing the maximum drinks consumption phenotype. BioMed Central 2005-12-30 /pmc/articles/PMC1866813/ /pubmed/16451582 http://dx.doi.org/10.1186/1471-2156-6-S1-S124 Text en Copyright © 2005 Saccone et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Saccone, Scott F
Saccone, Nancy L
Neuman, Rosalind J
Rice, John P
Genetic analysis of the maximum drinks phenotype
title Genetic analysis of the maximum drinks phenotype
title_full Genetic analysis of the maximum drinks phenotype
title_fullStr Genetic analysis of the maximum drinks phenotype
title_full_unstemmed Genetic analysis of the maximum drinks phenotype
title_short Genetic analysis of the maximum drinks phenotype
title_sort genetic analysis of the maximum drinks phenotype
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866813/
https://www.ncbi.nlm.nih.gov/pubmed/16451582
http://dx.doi.org/10.1186/1471-2156-6-S1-S124
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