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UniProt genomic mapping for deciphering functional effects of missense variants

Understanding the association of genetic variation with its functional consequences in proteins is essential for the interpretation of genomic data and identifying causal variants in diseases. Integration of protein function knowledge with genome annotation can assist in rapidly comprehending geneti...

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Autores principales: McGarvey, Peter B., Nightingale, Andrew, Luo, Jie, Huang, Hongzhan, Martin, Maria J., Wu, Cathy, Consortium, UniProt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563471/
https://www.ncbi.nlm.nih.gov/pubmed/30840782
http://dx.doi.org/10.1002/humu.23738
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author McGarvey, Peter B.
Nightingale, Andrew
Luo, Jie
Huang, Hongzhan
Martin, Maria J.
Wu, Cathy
Consortium, UniProt
author_facet McGarvey, Peter B.
Nightingale, Andrew
Luo, Jie
Huang, Hongzhan
Martin, Maria J.
Wu, Cathy
Consortium, UniProt
author_sort McGarvey, Peter B.
collection PubMed
description Understanding the association of genetic variation with its functional consequences in proteins is essential for the interpretation of genomic data and identifying causal variants in diseases. Integration of protein function knowledge with genome annotation can assist in rapidly comprehending genetic variation within complex biological processes. Here, we describe mapping UniProtKB human sequences and positional annotations, such as active sites, binding sites, and variants to the human genome (GRCh38) and the release of a public genome track hub for genome browsers. To demonstrate the power of combining protein annotations with genome annotations for functional interpretation of variants, we present specific biological examples in disease‐related genes and proteins. Computational comparisons of UniProtKB annotations and protein variants with ClinVar clinically annotated single nucleotide polymorphism (SNP) data show that 32% of UniProtKB variants colocate with 8% of ClinVar SNPs. The majority of colocated UniProtKB disease‐associated variants (86%) map to 'pathogenic' ClinVar SNPs. UniProt and ClinVar are collaborating to provide a unified clinical variant annotation for genomic, protein, and clinical researchers. The genome track hubs, and related UniProtKB files, are downloadable from the UniProt FTP site and discoverable as public track hubs at the UCSC and Ensembl genome browsers.
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spelling pubmed-65634712019-06-17 UniProt genomic mapping for deciphering functional effects of missense variants McGarvey, Peter B. Nightingale, Andrew Luo, Jie Huang, Hongzhan Martin, Maria J. Wu, Cathy Consortium, UniProt Hum Mutat Databases Understanding the association of genetic variation with its functional consequences in proteins is essential for the interpretation of genomic data and identifying causal variants in diseases. Integration of protein function knowledge with genome annotation can assist in rapidly comprehending genetic variation within complex biological processes. Here, we describe mapping UniProtKB human sequences and positional annotations, such as active sites, binding sites, and variants to the human genome (GRCh38) and the release of a public genome track hub for genome browsers. To demonstrate the power of combining protein annotations with genome annotations for functional interpretation of variants, we present specific biological examples in disease‐related genes and proteins. Computational comparisons of UniProtKB annotations and protein variants with ClinVar clinically annotated single nucleotide polymorphism (SNP) data show that 32% of UniProtKB variants colocate with 8% of ClinVar SNPs. The majority of colocated UniProtKB disease‐associated variants (86%) map to 'pathogenic' ClinVar SNPs. UniProt and ClinVar are collaborating to provide a unified clinical variant annotation for genomic, protein, and clinical researchers. The genome track hubs, and related UniProtKB files, are downloadable from the UniProt FTP site and discoverable as public track hubs at the UCSC and Ensembl genome browsers. John Wiley and Sons Inc. 2019-04-03 2019-06 /pmc/articles/PMC6563471/ /pubmed/30840782 http://dx.doi.org/10.1002/humu.23738 Text en © 2019 The Authors. Human Mutation Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Databases
McGarvey, Peter B.
Nightingale, Andrew
Luo, Jie
Huang, Hongzhan
Martin, Maria J.
Wu, Cathy
Consortium, UniProt
UniProt genomic mapping for deciphering functional effects of missense variants
title UniProt genomic mapping for deciphering functional effects of missense variants
title_full UniProt genomic mapping for deciphering functional effects of missense variants
title_fullStr UniProt genomic mapping for deciphering functional effects of missense variants
title_full_unstemmed UniProt genomic mapping for deciphering functional effects of missense variants
title_short UniProt genomic mapping for deciphering functional effects of missense variants
title_sort uniprot genomic mapping for deciphering functional effects of missense variants
topic Databases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563471/
https://www.ncbi.nlm.nih.gov/pubmed/30840782
http://dx.doi.org/10.1002/humu.23738
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