Evidence map›Paper›PMID 39839975›Full record

ArticleWellcome open research2024

Exome sequencing of UK birth cohorts.

Mahmoud Koko, Laurie Fabian, Iaroslav Popov, Ruth Y Eberhardt, Gennadii Zakharov, Qin Qin Huang, Emma E Wade, Rafaq Azad, Petr Danecek, Karen Ho and 18 more

Abstract read
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  8. Exome sequencing of UK birth cohorts.Wellcome open research · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Mahmoud Koko *Human Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.ORCID https://orcid.org/0000-0001-9512-0184
Laurie Fabian *Population Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UK.ORCID https://orcid.org/0009-0007-3145-5357
Iaroslav PopovHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.ORCID https://orcid.org/0000-0001-7538-123X
Ruth Y EberhardtHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Gennadii ZakharovHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Qin Qin HuangHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Emma E WadeHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Rafaq AzadBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UK.
Petr DanecekHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Karen HoPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UK.ORCID https://orcid.org/0000-0003-3478-9751
Amy HoughBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UK.ORCID https://orcid.org/0000-0001-5212-1857
Wei HuangHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Sarah J LindsayHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Daniel S MalawskyHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Davide BonfantiHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.ORCID https://orcid.org/0000-0003-4092-7815
Dan MasonBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UK.ORCID https://orcid.org/0000-0002-0026-9216
Deborah PlowmanHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.ORCID https://orcid.org/0000-0002-6330-2669
Michael A QuailSequencing R&D, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Susan M RingPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UK.ORCID https://orcid.org/0000-0003-3103-9330
Gemma ShirebyCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UK.
Sara WidaaSequencing R&D, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.ORCID https://orcid.org/0009-0000-8017-8949
Emla FitzsimonsCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UK.
Vivek IyerHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
David BannCentre for Longitudinal Studies, University College London Institute of Education, London, England, WC1H 0NU, UK.
Nicholas J TimpsonPopulation Health Sciences, University of Bristol Medical School, Bristol, England, BS8 2BN, UK.ORCID https://orcid.org/0000-0002-7141-9189
John WrightBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, England, BD9 6RJ, UK.ORCID https://orcid.org/0000-0001-9572-7293
Matthew E HurlesHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Hilary C MartinHuman Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

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,

Indexed as

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Identifiers

PMID39839975
PMCPMC11747307

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.