Exome sequencing of UK birth cohorts

M. Koko, Laurie Fabian, Iaroslav Popov, Ruth Y. Eberhardt, Gennadii Zakharov, Qin Qin Huang, Emma E. Wade, R. Azad, Petr Danecek, Karen Ho, Amy Hough, Wei Huang, Sarah J. Lindsay, Daniel S. Malawsky, Davide Bonfanti, D. Mason, Deborah Plowman, Michael A. Quail, Susan M. Ring, Gemma Shireby, S. Widaa, E. Fitzsimons, Vivek Iyer, D. Bann, Nicolas Timpson, John Wright, M. Hurles, Hilary C. Martin
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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 provide guidance for their use.
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重复调查。出生队列研究收集的信息对生命历程研究领域非常有用,生物样本可用于从越来越多的 omic 技术中获取数据。这一丰富的纵向数据来源与基因组数据相结合,为科学界提供了从人口遗传学到社会科学应用的宝贵见解。在这里,我们展示了来自英国三个出生队列的质量控制全外显子组测序数据:雅芳父母与子女纵向研究(8436 名儿童和 3215 名父母)、千年队列研究(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)。这项协调工作的总体目标是及时向全球研究界广泛提供由此产生的高质量数据。我们将介绍数据集是如何生成的,以及如何在样本、变异体和基因型层面进行质量控制。然后,我们介绍了一些初步分析,以说明数据集的质量并探究潜在的偏差来源。我们将超稀有变异体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体的全外显子组负担(S het burden)与教育程度和认知测试成绩相关。这些出生队列的全外显子组序列数据(CRAM 和 VCF 文件)可通过欧洲基因组-表型组档案馆获得,在此提供使用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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