Family-based genome-wide association study for simulated data of Framingham Heart Study

Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited marke...

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Detalles Bibliográficos
Autores principales: Xu, Hongyan, Mathew, George, George, Varghese
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795897/
https://www.ncbi.nlm.nih.gov/pubmed/20017990
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author Xu, Hongyan
Mathew, George
George, Varghese
author_facet Xu, Hongyan
Mathew, George
George, Varghese
author_sort Xu, Hongyan
collection PubMed
description Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited markers. Their applicability and performance for GWAS need to be examined. In this report, we evaluated the properties of the family-based association method implemented by ASSOC in the S.A.G.E package using the simulated data sets for the Framingham Heart Study, and found that ASSOC is a highly useful tool for GWAS.
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spelling pubmed-27958972009-12-18 Family-based genome-wide association study for simulated data of Framingham Heart Study Xu, Hongyan Mathew, George George, Varghese BMC Proc Proceedings Genome-wide association studies (GWAS) have quickly become the norm in dissecting the genetic basis of complex diseases. Family-based association approaches have the advantages of being robust to possible hidden population structure in samples. Most of these methods were developed with limited markers. Their applicability and performance for GWAS need to be examined. In this report, we evaluated the properties of the family-based association method implemented by ASSOC in the S.A.G.E package using the simulated data sets for the Framingham Heart Study, and found that ASSOC is a highly useful tool for GWAS. BioMed Central 2009-12-15 /pmc/articles/PMC2795897/ /pubmed/20017990 Text en Copyright ©2009 Xu 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
Xu, Hongyan
Mathew, George
George, Varghese
Family-based genome-wide association study for simulated data of Framingham Heart Study
title Family-based genome-wide association study for simulated data of Framingham Heart Study
title_full Family-based genome-wide association study for simulated data of Framingham Heart Study
title_fullStr Family-based genome-wide association study for simulated data of Framingham Heart Study
title_full_unstemmed Family-based genome-wide association study for simulated data of Framingham Heart Study
title_short Family-based genome-wide association study for simulated data of Framingham Heart Study
title_sort family-based genome-wide association study for simulated data of framingham heart study
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795897/
https://www.ncbi.nlm.nih.gov/pubmed/20017990
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AT mathewgeorge familybasedgenomewideassociationstudyforsimulateddataofframinghamheartstudy
AT georgevarghese familybasedgenomewideassociationstudyforsimulateddataofframinghamheartstudy

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