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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-...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-6786975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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