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PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies

The PBAT software package (v2.5) provides a unique set of tools for complex family-based association analysis at a genome-wide level. PBAT can handle nuclear families with missing parental genotypes, extended pedigrees with missing genotypic information, analysis of single nucleotide polymorphisms (...

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Detalles Bibliográficos
Autores principales: Van Steen, Kristel, Lange, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525120/
https://www.ncbi.nlm.nih.gov/pubmed/15814068
http://dx.doi.org/10.1186/1479-7364-2-1-67
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author Van Steen, Kristel
Lange, Christoph
author_facet Van Steen, Kristel
Lange, Christoph
author_sort Van Steen, Kristel
collection PubMed
description The PBAT software package (v2.5) provides a unique set of tools for complex family-based association analysis at a genome-wide level. PBAT can handle nuclear families with missing parental genotypes, extended pedigrees with missing genotypic information, analysis of single nucleotide polymorphisms (SNPs), haplotype analysis, quantitative traits, multivariate/longitudinal data and time to onset phenotypes. The data analysis can be adjusted for covariates and gene/environment interactions. Haplotype-based features include sliding windows and the reconstruction of the haplotypes of the probands. PBAT's screening tools allow the user successfully to handle the multiple comparisons problem at a genome-wide level, even for 100,000 SNPs and more. Moreover, PBAT is computationally fast. A genome scan of 300,000 SNPs in 2,000 trios takes 4 central processing unit (CPU)-days. PBAT is available for Linux, Sun Solaris and Windows XP.
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spelling pubmed-35251202013-05-10 PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies Van Steen, Kristel Lange, Christoph Hum Genomics Software Review The PBAT software package (v2.5) provides a unique set of tools for complex family-based association analysis at a genome-wide level. PBAT can handle nuclear families with missing parental genotypes, extended pedigrees with missing genotypic information, analysis of single nucleotide polymorphisms (SNPs), haplotype analysis, quantitative traits, multivariate/longitudinal data and time to onset phenotypes. The data analysis can be adjusted for covariates and gene/environment interactions. Haplotype-based features include sliding windows and the reconstruction of the haplotypes of the probands. PBAT's screening tools allow the user successfully to handle the multiple comparisons problem at a genome-wide level, even for 100,000 SNPs and more. Moreover, PBAT is computationally fast. A genome scan of 300,000 SNPs in 2,000 trios takes 4 central processing unit (CPU)-days. PBAT is available for Linux, Sun Solaris and Windows XP. BioMed Central 2005-03-01 /pmc/articles/PMC3525120/ /pubmed/15814068 http://dx.doi.org/10.1186/1479-7364-2-1-67 Text en Copyright ©2005 Henry Stewart Publications
spellingShingle Software Review
Van Steen, Kristel
Lange, Christoph
PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title_full PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title_fullStr PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title_full_unstemmed PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title_short PBAT: A comprehensive software package for genome-wide association analysis of complex family-based studies
title_sort pbat: a comprehensive software package for genome-wide association analysis of complex family-based studies
topic Software Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3525120/
https://www.ncbi.nlm.nih.gov/pubmed/15814068
http://dx.doi.org/10.1186/1479-7364-2-1-67
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