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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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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. |
format | Online Article Text |
id | pubmed-6612888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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