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Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease
MOTIVATION: Annotation of genomic variants is an increasingly important and complex part of the analysis of sequence-based genomic analyses. Computational predictions of variant function are routinely incorporated into gene-based analyses of rare-variants, though to date most studies use limited inf...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084586/ https://www.ncbi.nlm.nih.gov/pubmed/29590295 http://dx.doi.org/10.1093/bioinformatics/bty177 |
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author | Butkiewicz, Mariusz Blue, Elizabeth E Leung, Yuk Yee Jian, Xueqiu Marcora, Edoardo Renton, Alan E Kuzma, Amanda Wang, Li-San Koboldt, Daniel C Haines, Jonathan L Bush, William S |
author_facet | Butkiewicz, Mariusz Blue, Elizabeth E Leung, Yuk Yee Jian, Xueqiu Marcora, Edoardo Renton, Alan E Kuzma, Amanda Wang, Li-San Koboldt, Daniel C Haines, Jonathan L Bush, William S |
author_sort | Butkiewicz, Mariusz |
collection | PubMed |
description | MOTIVATION: Annotation of genomic variants is an increasingly important and complex part of the analysis of sequence-based genomic analyses. Computational predictions of variant function are routinely incorporated into gene-based analyses of rare-variants, though to date most studies use limited information for assessing variant function that is often agnostic of the disease being studied. RESULTS: In this work, we outline an annotation process motivated by the Alzheimer’s Disease Sequencing Project, illustrate the impact of including tissue-specific transcript sets and sources of gene regulatory information and assess the potential impact of changing genomic builds on the annotation process. While these factors only impact a small proportion of total variant annotations (∼5%), they influence the potential analysis of a large fraction of genes (∼25%). AVAILABILITY AND IMPLEMENTATION: Individual variant annotations are available via the NIAGADS GenomicsDB, at https://www.niagads.org/genomics/ tools-and-software/databases/genomics-database. Annotations are also available for bulk download at https://www.niagads.org/datasets. Annotation processing software is available at http://www.icompbio.net/resources/software-and-downloads/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6084586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60845862018-08-14 Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease Butkiewicz, Mariusz Blue, Elizabeth E Leung, Yuk Yee Jian, Xueqiu Marcora, Edoardo Renton, Alan E Kuzma, Amanda Wang, Li-San Koboldt, Daniel C Haines, Jonathan L Bush, William S Bioinformatics Original Papers MOTIVATION: Annotation of genomic variants is an increasingly important and complex part of the analysis of sequence-based genomic analyses. Computational predictions of variant function are routinely incorporated into gene-based analyses of rare-variants, though to date most studies use limited information for assessing variant function that is often agnostic of the disease being studied. RESULTS: In this work, we outline an annotation process motivated by the Alzheimer’s Disease Sequencing Project, illustrate the impact of including tissue-specific transcript sets and sources of gene regulatory information and assess the potential impact of changing genomic builds on the annotation process. While these factors only impact a small proportion of total variant annotations (∼5%), they influence the potential analysis of a large fraction of genes (∼25%). AVAILABILITY AND IMPLEMENTATION: Individual variant annotations are available via the NIAGADS GenomicsDB, at https://www.niagads.org/genomics/ tools-and-software/databases/genomics-database. Annotations are also available for bulk download at https://www.niagads.org/datasets. Annotation processing software is available at http://www.icompbio.net/resources/software-and-downloads/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-08-15 2018-03-24 /pmc/articles/PMC6084586/ /pubmed/29590295 http://dx.doi.org/10.1093/bioinformatics/bty177 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Papers Butkiewicz, Mariusz Blue, Elizabeth E Leung, Yuk Yee Jian, Xueqiu Marcora, Edoardo Renton, Alan E Kuzma, Amanda Wang, Li-San Koboldt, Daniel C Haines, Jonathan L Bush, William S Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title | Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title_full | Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title_fullStr | Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title_full_unstemmed | Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title_short | Functional annotation of genomic variants in studies of late-onset Alzheimer’s disease |
title_sort | functional annotation of genomic variants in studies of late-onset alzheimer’s disease |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6084586/ https://www.ncbi.nlm.nih.gov/pubmed/29590295 http://dx.doi.org/10.1093/bioinformatics/bty177 |
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