Exome sequencing of UK birth cohorts.

Q1 Medicine Wellcome Open Research Pub Date : 2024-12-05 eCollection Date: 2024-01-01 DOI:10.12688/wellcomeopenres.22697.2
Mahmoud Koko, Laurie Fabian, Iaroslav Popov, Ruth Y Eberhardt, Gennadii Zakharov, Qin Qin Huang, Emma E Wade, Rafaq Azad, Petr Danecek, Karen Ho, Amy Hough, Wei Huang, Sarah J Lindsay, Daniel S Malawsky, Davide Bonfanti, Dan Mason, Deborah Plowman, Michael A Quail, Susan M Ring, Gemma Shireby, Sara Widaa, Emla Fitzsimons, Vivek Iyer, David Bann, Nicholas J Timpson, John Wright, Matthew E Hurles, Hilary C Martin
{"title":"Exome sequencing of UK birth cohorts.","authors":"Mahmoud Koko, Laurie Fabian, Iaroslav Popov, Ruth Y Eberhardt, Gennadii Zakharov, Qin Qin Huang, Emma E Wade, Rafaq Azad, Petr Danecek, Karen Ho, Amy Hough, Wei Huang, Sarah J Lindsay, Daniel S Malawsky, Davide Bonfanti, Dan Mason, Deborah Plowman, Michael A Quail, Susan M Ring, Gemma Shireby, Sara Widaa, Emla Fitzsimons, Vivek Iyer, David Bann, Nicholas J Timpson, John Wright, Matthew E Hurles, Hilary C Martin","doi":"10.12688/wellcomeopenres.22697.2","DOIUrl":null,"url":null,"abstract":"<p><p>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, <i>S</i> <sub>het</sub> 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.</p>","PeriodicalId":23677,"journal":{"name":"Wellcome Open Research","volume":"9 ","pages":"390"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11747307/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wellcome Open Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/wellcomeopenres.22697.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

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, 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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
英国出生队列的外显子组测序。
出生队列研究涉及对大量个体从出生到一生的反复调查。他们收集对广泛的生命过程研究领域有用的信息,以及可用于从越来越多的基因组技术收集中获得数据的生物样本。这种丰富的纵向数据来源与基因组数据相结合,为科学界提供了从群体遗传学到跨社会科学应用的宝贵见解。在这里,我们提供了来自三个英国出生队列的质量控制的全外显子组测序数据:雅芳父母和儿童纵向研究(8436名儿童和3215名父母),千禧年队列研究(7667名儿童和6925名父母)和出生在布拉德福德(8784名儿童和2875名父母)。这一协调努力的总体目标是使全球研究界能够及时广泛地获得由此产生的高质量数据。我们描述了如何生成数据集,并在样本、变异和基因型水平上进行质量控制。然后,我们提出了一些初步的分析,以说明数据集的质量,并探讨潜在的偏差来源。我们将超罕见变异负担的测量方法引入到研究这些队列的研究人员可用的变量中,并表明有害蛋白质截断变异的外显子组范围负担(S - et负担)与受教育程度和认知测试分数有关。来自这些出生队列的整个外显子组序列数据(CRAM和VCF文件)可通过欧洲基因组-表型档案获得,在这里我们提供了使用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Wellcome Open Research
Wellcome Open Research Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
5.50
自引率
0.00%
发文量
426
审稿时长
1 weeks
期刊介绍: Wellcome Open Research publishes scholarly articles reporting any basic scientific, translational and clinical research that has been funded (or co-funded) by Wellcome. Each publication must have at least one author who has been, or still is, a recipient of a Wellcome grant. Articles must be original (not duplications). All research, including clinical trials, systematic reviews, software tools, method articles, and many others, is welcome and will be published irrespective of the perceived level of interest or novelty; confirmatory and negative results, as well as null studies are all suitable. See the full list of article types here. All articles are published using a fully transparent, author-driven model: the authors are solely responsible for the content of their article. Invited peer review takes place openly after publication, and the authors play a crucial role in ensuring that the article is peer-reviewed by independent experts in a timely manner. Articles that pass peer review will be indexed in PubMed and elsewhere. Wellcome Open Research is an Open Research platform: all articles are published open access; the publishing and peer-review processes are fully transparent; and authors are asked to include detailed descriptions of methods and to provide full and easy access to source data underlying the results to improve reproducibility.
期刊最新文献
Sleep duration, sleep disturbances and skeletal muscle mass change over time: A population-based longitudinal analysis in Peru. Prevalence, aetiology, and service mapping of dementia in rural Uganda. Part of DEPEND Uganda (Dementia Epidemiology, unmet Need and co-Developing Solutions in Uganda). The genome sequence of the tawny cockroach, Ectobius (Ectobius) pallidus (Olivier, 1789). The genome sequence of a leafhopper, Allygus modestus Scott, 1876. Critical care services in Bagmati province of Nepal: A cross sectional survey.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1