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Detection of rare disease variants in extended pedigrees using RVS

SUMMARY: Family-based sequencing studies enable researchers to identify highly penetrant genetic variants too rare to be tested in conventional case-control studies, by studying co-segregation of variant and disease phenotypes. When multiple affected subjects in a family are sequenced, the probabili...

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Detalles Bibliográficos
Autores principales: Sherman, Thomas, Fu, Jack, Scharpf, Robert B, Bureau, Alexandre, Ruczinski, Ingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612888/
https://www.ncbi.nlm.nih.gov/pubmed/30500888
http://dx.doi.org/10.1093/bioinformatics/bty976
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author Sherman, Thomas
Fu, Jack
Scharpf, Robert B
Bureau, Alexandre
Ruczinski, Ingo
author_facet Sherman, Thomas
Fu, Jack
Scharpf, Robert B
Bureau, Alexandre
Ruczinski, Ingo
author_sort Sherman, Thomas
collection PubMed
description SUMMARY: Family-based sequencing studies enable researchers to identify highly penetrant genetic variants too rare to be tested in conventional case-control studies, by studying co-segregation of variant and disease phenotypes. When multiple affected subjects in a family are sequenced, the probability that a variant or a set of variants is shared identical-by-descent by some or all affected relatives provides evidence against the null hypothesis of complete absence of linkage and association. The Rare Variant Sharing software package RVS implements a suite of tools to assess association and linkage between rare genetic variants and a dichotomous disease indicator in family pedigrees. AVAILABILITY AND IMPLEMENTATION: RVS is available as open source software from the Bioconductor webpage at https://bioconductor.org/packages/release/bioc/html/RVS.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-66128882019-07-12 Detection of rare disease variants in extended pedigrees using RVS Sherman, Thomas Fu, Jack Scharpf, Robert B Bureau, Alexandre Ruczinski, Ingo Bioinformatics Applications Notes SUMMARY: Family-based sequencing studies enable researchers to identify highly penetrant genetic variants too rare to be tested in conventional case-control studies, by studying co-segregation of variant and disease phenotypes. When multiple affected subjects in a family are sequenced, the probability that a variant or a set of variants is shared identical-by-descent by some or all affected relatives provides evidence against the null hypothesis of complete absence of linkage and association. The Rare Variant Sharing software package RVS implements a suite of tools to assess association and linkage between rare genetic variants and a dichotomous disease indicator in family pedigrees. AVAILABILITY AND IMPLEMENTATION: RVS is available as open source software from the Bioconductor webpage at https://bioconductor.org/packages/release/bioc/html/RVS.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-07 2018-11-30 /pmc/articles/PMC6612888/ /pubmed/30500888 http://dx.doi.org/10.1093/bioinformatics/bty976 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Sherman, Thomas
Fu, Jack
Scharpf, Robert B
Bureau, Alexandre
Ruczinski, Ingo
Detection of rare disease variants in extended pedigrees using RVS
title Detection of rare disease variants in extended pedigrees using RVS
title_full Detection of rare disease variants in extended pedigrees using RVS
title_fullStr Detection of rare disease variants in extended pedigrees using RVS
title_full_unstemmed Detection of rare disease variants in extended pedigrees using RVS
title_short Detection of rare disease variants in extended pedigrees using RVS
title_sort detection of rare disease variants in extended pedigrees using rvs
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612888/
https://www.ncbi.nlm.nih.gov/pubmed/30500888
http://dx.doi.org/10.1093/bioinformatics/bty976
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