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A genome-wide linkage and association study using COGA data
BACKGROUND: Genome-wide association will soon be available to use as an adjunct to traditional linkage analysis. We studied alcoholism in 119 families collected by the Collaborative Study on the Genetics of Alcoholism and made available in Genetic Analysis Workshop 14, using genome-wide linkage and...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866809/ https://www.ncbi.nlm.nih.gov/pubmed/16451586 http://dx.doi.org/10.1186/1471-2156-6-S1-S128 |
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author | Zhu, Xiaofeng Cooper, Richard Kan, Donghui Cao, Guichan Wu, Xiaodong |
author_facet | Zhu, Xiaofeng Cooper, Richard Kan, Donghui Cao, Guichan Wu, Xiaodong |
author_sort | Zhu, Xiaofeng |
collection | PubMed |
description | BACKGROUND: Genome-wide association will soon be available to use as an adjunct to traditional linkage analysis. We studied alcoholism in 119 families collected by the Collaborative Study on the Genetics of Alcoholism and made available in Genetic Analysis Workshop 14, using genome-wide linkage and association analyses. METHODS: Genome-wide linkage analysis was first performed using microsatellite markers and a region with the strongest linkage evidence was further analyzed using single-nucleotide polymorphisms (SNPs). Family based genome-wide association test was also conducted using the SNPs. RESULTS: Nonparametric linkage analysis revealed weak linkage evidence on chromosome 7, and association analysis identified SNP tsc0515272 on chromosome 3 as significantly associated with alcoholism. CONCLUSION: Linkage analysis may require large sample sizes and high quality genotyping and marker maps to adequately improve power, while association analysis could hold more promise in efforts to identify variants responsible for complex traits. |
format | Text |
id | pubmed-1866809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18668092007-05-11 A genome-wide linkage and association study using COGA data Zhu, Xiaofeng Cooper, Richard Kan, Donghui Cao, Guichan Wu, Xiaodong BMC Genet Proceedings BACKGROUND: Genome-wide association will soon be available to use as an adjunct to traditional linkage analysis. We studied alcoholism in 119 families collected by the Collaborative Study on the Genetics of Alcoholism and made available in Genetic Analysis Workshop 14, using genome-wide linkage and association analyses. METHODS: Genome-wide linkage analysis was first performed using microsatellite markers and a region with the strongest linkage evidence was further analyzed using single-nucleotide polymorphisms (SNPs). Family based genome-wide association test was also conducted using the SNPs. RESULTS: Nonparametric linkage analysis revealed weak linkage evidence on chromosome 7, and association analysis identified SNP tsc0515272 on chromosome 3 as significantly associated with alcoholism. CONCLUSION: Linkage analysis may require large sample sizes and high quality genotyping and marker maps to adequately improve power, while association analysis could hold more promise in efforts to identify variants responsible for complex traits. BioMed Central 2005-12-30 /pmc/articles/PMC1866809/ /pubmed/16451586 http://dx.doi.org/10.1186/1471-2156-6-S1-S128 Text en Copyright © 2005 Zhu 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 Zhu, Xiaofeng Cooper, Richard Kan, Donghui Cao, Guichan Wu, Xiaodong A genome-wide linkage and association study using COGA data |
title | A genome-wide linkage and association study using COGA data |
title_full | A genome-wide linkage and association study using COGA data |
title_fullStr | A genome-wide linkage and association study using COGA data |
title_full_unstemmed | A genome-wide linkage and association study using COGA data |
title_short | A genome-wide linkage and association study using COGA data |
title_sort | genome-wide linkage and association study using coga data |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866809/ https://www.ncbi.nlm.nih.gov/pubmed/16451586 http://dx.doi.org/10.1186/1471-2156-6-S1-S128 |
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