Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]

Birth cohort studies involve repeated surveys of large numbers of individuals from birth and throughout their lives. They collect information useful for a wide range of life course research domains, and biological samples which can be used to derive data from an increasing collection of omic technol...

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Main Authors: Petr Danecek, Amy Hough, John Wright, Karen Ho, Nicholas J. Timpson, Sarah J. Lindsay, Davide Bonfanti, Daniel S. Malawsky, Rafaq Azad, Deborah Plowman, Sara Widaa, Gemma Shireby, Emla Fitzsimons, David Bann, Matthew E. Hurles, Hilary C. Martin, Susan M. Ring, Dan Mason, Michael A. Quail, Wei Huang, Vivek Iyer, Mahmoud Koko, Iaroslav Popov, Laurie Fabian, Gennadii Zakharov, Ruth Y. Eberhardt, Emma E. Wade, Qin Qin Huang
Format: Article
Language:English
Published: Wellcome 2024-12-01
Series:Wellcome Open Research
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Online Access:https://wellcomeopenresearch.org/articles/9-390/v2
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author Petr Danecek
Amy Hough
John Wright
Karen Ho
Nicholas J. Timpson
Sarah J. Lindsay
Davide Bonfanti
Daniel S. Malawsky
Rafaq Azad
Deborah Plowman
Sara Widaa
Gemma Shireby
Emla Fitzsimons
David Bann
Matthew E. Hurles
Hilary C. Martin
Susan M. Ring
Dan Mason
Michael A. Quail
Wei Huang
Vivek Iyer
Mahmoud Koko
Iaroslav Popov
Laurie Fabian
Gennadii Zakharov
Ruth Y. Eberhardt
Emma E. Wade
Qin Qin Huang
author_facet Petr Danecek
Amy Hough
John Wright
Karen Ho
Nicholas J. Timpson
Sarah J. Lindsay
Davide Bonfanti
Daniel S. Malawsky
Rafaq Azad
Deborah Plowman
Sara Widaa
Gemma Shireby
Emla Fitzsimons
David Bann
Matthew E. Hurles
Hilary C. Martin
Susan M. Ring
Dan Mason
Michael A. Quail
Wei Huang
Vivek Iyer
Mahmoud Koko
Iaroslav Popov
Laurie Fabian
Gennadii Zakharov
Ruth Y. Eberhardt
Emma E. Wade
Qin Qin Huang
author_sort Petr Danecek
collection DOAJ
description Birth cohort studies involve repeated surveys of large numbers of individuals from birth and throughout their lives. They collect information useful for a wide range of life course research domains, and biological samples which can be used to derive data from an increasing collection of omic technologies. This rich source of longitudinal data, when combined with genomic data, offers the scientific community valuable insights ranging from population genetics to applications across the social sciences. Here we present quality-controlled whole exome sequencing data from three UK birth cohorts: the Avon Longitudinal Study of Parents and Children (8,436 children and 3,215 parents), the Millenium Cohort Study (7,667 children and 6,925 parents) and Born in Bradford (8,784 children and 2,875 parents). The overall objective of this coordinated effort is to make the resulting high-quality data widely accessible to the global research community in a timely manner. We describe how the datasets were generated and subjected to quality control at the sample, variant and genotype level. We then present some preliminary analyses to illustrate the quality of the datasets and probe potential sources of bias. We introduce measures of ultra-rare variant burden to the variables available for researchers working on these cohorts, and show that the exome-wide burden of deleterious protein-truncating variants, S het burden, is associated with educational attainment and cognitive test scores. The whole exome sequence data from these birth cohorts (CRAM & VCF files) are available through the European Genome-Phenome Archive, and here we provide guidance for their use.
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spelling doaj-art-ff3a8201ba064f0bb8c65ad5b40f9a042025-01-21T01:00:00ZengWellcomeWellcome Open Research2398-502X2024-12-01925892Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]Petr Danecek0Amy Hough1https://orcid.org/0000-0001-5212-1857John Wright2https://orcid.org/0000-0001-9572-7293Karen Ho3https://orcid.org/0000-0003-3478-9751Nicholas J. Timpson4https://orcid.org/0000-0002-7141-9189Sarah J. Lindsay5Davide Bonfanti6https://orcid.org/0000-0003-4092-7815Daniel S. Malawsky7Rafaq Azad8Deborah Plowman9https://orcid.org/0000-0002-6330-2669Sara Widaa10https://orcid.org/0009-0000-8017-8949Gemma Shireby11Emla Fitzsimons12David Bann13Matthew E. Hurles14Hilary C. Martin15Susan M. Ring16https://orcid.org/0000-0003-3103-9330Dan Mason17https://orcid.org/0000-0002-0026-9216Michael A. Quail18Wei Huang19Vivek Iyer20Mahmoud Koko21https://orcid.org/0000-0001-9512-0184Iaroslav Popov22https://orcid.org/0000-0001-7538-123XLaurie Fabian23https://orcid.org/0009-0007-3145-5357Gennadii Zakharov24Ruth Y. Eberhardt25Emma E. Wade26Qin Qin Huang27Human Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UKBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UKPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UKPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKSequencing R&D, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UKCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UKCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UKBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UKSequencing R&D, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UKBirth cohort studies involve repeated surveys of large numbers of individuals from birth and throughout their lives. They collect information useful for a wide range of life course research domains, and biological samples which can be used to derive data from an increasing collection of omic technologies. This rich source of longitudinal data, when combined with genomic data, offers the scientific community valuable insights ranging from population genetics to applications across the social sciences. Here we present quality-controlled whole exome sequencing data from three UK birth cohorts: the Avon Longitudinal Study of Parents and Children (8,436 children and 3,215 parents), the Millenium Cohort Study (7,667 children and 6,925 parents) and Born in Bradford (8,784 children and 2,875 parents). The overall objective of this coordinated effort is to make the resulting high-quality data widely accessible to the global research community in a timely manner. We describe how the datasets were generated and subjected to quality control at the sample, variant and genotype level. We then present some preliminary analyses to illustrate the quality of the datasets and probe potential sources of bias. We introduce measures of ultra-rare variant burden to the variables available for researchers working on these cohorts, and show that the exome-wide burden of deleterious protein-truncating variants, S het burden, is associated with educational attainment and cognitive test scores. The whole exome sequence data from these birth cohorts (CRAM & VCF files) are available through the European Genome-Phenome Archive, and here we provide guidance for their use.https://wellcomeopenresearch.org/articles/9-390/v2ALSPAC MCS BiB WES EGAeng
spellingShingle Petr Danecek
Amy Hough
John Wright
Karen Ho
Nicholas J. Timpson
Sarah J. Lindsay
Davide Bonfanti
Daniel S. Malawsky
Rafaq Azad
Deborah Plowman
Sara Widaa
Gemma Shireby
Emla Fitzsimons
David Bann
Matthew E. Hurles
Hilary C. Martin
Susan M. Ring
Dan Mason
Michael A. Quail
Wei Huang
Vivek Iyer
Mahmoud Koko
Iaroslav Popov
Laurie Fabian
Gennadii Zakharov
Ruth Y. Eberhardt
Emma E. Wade
Qin Qin Huang
Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
Wellcome Open Research
ALSPAC
MCS
BiB
WES
EGA
eng
title Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
title_full Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
title_fullStr Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
title_full_unstemmed Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
title_short Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations]
title_sort exome sequencing of uk birth cohorts version 2 peer review 2 approved 1 approved with reservations
topic ALSPAC
MCS
BiB
WES
EGA
eng
url https://wellcomeopenresearch.org/articles/9-390/v2
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