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The UK Biobank resource with deep phenotyping and genomic data

The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-...

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Autores principales: Bycroft, Clare, Freeman, Colin, Petkova, Desislava, Band, Gavin, Elliott, Lloyd T., Sharp, Kevin, Motyer, Allan, Vukcevic, Damjan, Delaneau, Olivier, O’Connell, Jared, Cortes, Adrian, Welsh, Samantha, Young, Alan, Effingham, Mark, McVean, Gil, Leslie, Stephen, Allen, Naomi, Donnelly, Peter, Marchini, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786975/
https://www.ncbi.nlm.nih.gov/pubmed/30305743
http://dx.doi.org/10.1038/s41586-018-0579-z
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author Bycroft, Clare
Freeman, Colin
Petkova, Desislava
Band, Gavin
Elliott, Lloyd T.
Sharp, Kevin
Motyer, Allan
Vukcevic, Damjan
Delaneau, Olivier
O’Connell, Jared
Cortes, Adrian
Welsh, Samantha
Young, Alan
Effingham, Mark
McVean, Gil
Leslie, Stephen
Allen, Naomi
Donnelly, Peter
Marchini, Jonathan
author_facet Bycroft, Clare
Freeman, Colin
Petkova, Desislava
Band, Gavin
Elliott, Lloyd T.
Sharp, Kevin
Motyer, Allan
Vukcevic, Damjan
Delaneau, Olivier
O’Connell, Jared
Cortes, Adrian
Welsh, Samantha
Young, Alan
Effingham, Mark
McVean, Gil
Leslie, Stephen
Allen, Naomi
Donnelly, Peter
Marchini, Jonathan
author_sort Bycroft, Clare
collection PubMed
description The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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spelling pubmed-67869752019-10-15 The UK Biobank resource with deep phenotyping and genomic data Bycroft, Clare Freeman, Colin Petkova, Desislava Band, Gavin Elliott, Lloyd T. Sharp, Kevin Motyer, Allan Vukcevic, Damjan Delaneau, Olivier O’Connell, Jared Cortes, Adrian Welsh, Samantha Young, Alan Effingham, Mark McVean, Gil Leslie, Stephen Allen, Naomi Donnelly, Peter Marchini, Jonathan Nature Article The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases. Nature Publishing Group UK 2018-10-10 2018 /pmc/articles/PMC6786975/ /pubmed/30305743 http://dx.doi.org/10.1038/s41586-018-0579-z Text en © Springer Nature Limited 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bycroft, Clare
Freeman, Colin
Petkova, Desislava
Band, Gavin
Elliott, Lloyd T.
Sharp, Kevin
Motyer, Allan
Vukcevic, Damjan
Delaneau, Olivier
O’Connell, Jared
Cortes, Adrian
Welsh, Samantha
Young, Alan
Effingham, Mark
McVean, Gil
Leslie, Stephen
Allen, Naomi
Donnelly, Peter
Marchini, Jonathan
The UK Biobank resource with deep phenotyping and genomic data
title The UK Biobank resource with deep phenotyping and genomic data
title_full The UK Biobank resource with deep phenotyping and genomic data
title_fullStr The UK Biobank resource with deep phenotyping and genomic data
title_full_unstemmed The UK Biobank resource with deep phenotyping and genomic data
title_short The UK Biobank resource with deep phenotyping and genomic data
title_sort uk biobank resource with deep phenotyping and genomic data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6786975/
https://www.ncbi.nlm.nih.gov/pubmed/30305743
http://dx.doi.org/10.1038/s41586-018-0579-z
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