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PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE
We introduce a method for detecting variants in several genes of related function with small effect on a phenotype of interest. Our method uses logistic regression to test whether multiple alleles within a functional set have significantly higher than expected predictive value, even though none indi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134610/ https://www.ncbi.nlm.nih.gov/pubmed/21468025 http://dx.doi.org/10.1038/tpj.2011.10 |
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author | Reimers, Mark A Riley, Brien P Kalsi, Gursharan Kertes, Darlene A Kendler, Kenneth S |
author_facet | Reimers, Mark A Riley, Brien P Kalsi, Gursharan Kertes, Darlene A Kendler, Kenneth S |
author_sort | Reimers, Mark A |
collection | PubMed |
description | We introduce a method for detecting variants in several genes of related function with small effect on a phenotype of interest. Our method uses logistic regression to test whether multiple alleles within a functional set have significantly higher than expected predictive value, even though none individually may have strong individual effects. We illustrate this method by testing seven gene sets (including 48 genes), from a study with1350 single nucleotide polymorphisms in 130 addiction candidate genes studied in a sample of 575 alcohol dependence (AD) cases and 530 controls. We conclude that AD is related to variation in genes participating in Glutamate and GABA signaling, as has been reported elsewhere, and in stress response pathways, but not with genes in several other systems implicated in other drugs of abuse. |
format | Online Article Text |
id | pubmed-3134610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-31346102013-02-01 PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE Reimers, Mark A Riley, Brien P Kalsi, Gursharan Kertes, Darlene A Kendler, Kenneth S Pharmacogenomics J Article We introduce a method for detecting variants in several genes of related function with small effect on a phenotype of interest. Our method uses logistic regression to test whether multiple alleles within a functional set have significantly higher than expected predictive value, even though none individually may have strong individual effects. We illustrate this method by testing seven gene sets (including 48 genes), from a study with1350 single nucleotide polymorphisms in 130 addiction candidate genes studied in a sample of 575 alcohol dependence (AD) cases and 530 controls. We conclude that AD is related to variation in genes participating in Glutamate and GABA signaling, as has been reported elsewhere, and in stress response pathways, but not with genes in several other systems implicated in other drugs of abuse. 2011-04-05 2012-08 /pmc/articles/PMC3134610/ /pubmed/21468025 http://dx.doi.org/10.1038/tpj.2011.10 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Reimers, Mark A Riley, Brien P Kalsi, Gursharan Kertes, Darlene A Kendler, Kenneth S PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title | PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title_full | PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title_fullStr | PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title_full_unstemmed | PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title_short | PATHWAY BASED ANALYSIS OF GENOTYPES IN RELATION TO ALCOHOL DEPENDENCE |
title_sort | pathway based analysis of genotypes in relation to alcohol dependence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3134610/ https://www.ncbi.nlm.nih.gov/pubmed/21468025 http://dx.doi.org/10.1038/tpj.2011.10 |
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