Koenig Zan, Yohannes Mary T, Nkambule Lethukuthula L, Zhao Xuefang, Goodrich Julia K, Kim Heesu Ally, Wilson Michael W, Tiao Grace, Hao Stephanie P, Sahakian Nareh, Chao Katherine R, Walker Mark A, Lyu Yunfei, Rehm Heidi L, Neale Benjamin M, Talkowski Michael E, Daly Mark J, Brand Harrison, Karczewski Konrad J, Atkinson Elizabeth G, Martin Alicia R
Stanley Center for Psychiatric Research, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
bioRxiv. 2024 Feb 28:2023.01.23.525248. doi: 10.1101/2023.01.23.525248.
Underrepresented populations are often excluded from genomic studies due in part to a lack of resources supporting their analyses. The 1000 Genomes Project (1kGP) and Human Genome Diversity Project (HGDP), which have recently been sequenced to high coverage, are valuable genomic resources because of the global diversity they capture and their open data sharing policies. Here, we harmonized a high quality set of 4,094 whole genomes from HGDP and 1kGP with data from the Genome Aggregation Database (gnomAD) and identified over 153 million high-quality SNVs, indels, and SVs. We performed a detailed ancestry analysis of this cohort, characterizing population structure and patterns of admixture across populations, analyzing site frequency spectra, and measuring variant counts at global and subcontinental levels. We also demonstrate substantial added value from this dataset compared to the prior versions of the component resources, typically combined via liftover and variant intersection; for example, we catalog millions of new genetic variants, mostly rare, compared to previous releases. In addition to unrestricted individual-level public release, we provide detailed tutorials for conducting many of the most common quality control steps and analyses with these data in a scalable cloud-computing environment and publicly release this new phased joint callset for use as a haplotype resource in phasing and imputation pipelines. This jointly called reference panel will serve as a key resource to support research of diverse ancestry populations.
代表性不足的人群往往被排除在基因组研究之外,部分原因是缺乏支持对其进行分析的资源。最近已测序至高覆盖度的千人基因组计划(1kGP)和人类基因组多样性计划(HGDP),因其所涵盖的全球多样性以及开放的数据共享政策,成为了宝贵的基因组资源。在此,我们将来自HGDP和1kGP的4094个高质量全基因组与基因组聚合数据库(gnomAD)的数据进行了整合,识别出超过1.53亿个高质量的单核苷酸变异(SNV)、插入缺失(indel)和结构变异(SV)。我们对该队列进行了详细的祖先分析,描绘了群体结构和群体间的混合模式,分析了位点频率谱,并在全球和次大陆水平上统计了变异数量。我们还证明,与之前通过序列转换和变异交集通常组合而成的组件资源版本相比,这个数据集具有显著的附加价值;例如,与之前的版本相比,我们编目了数百万个新的遗传变异,其中大部分是罕见的。除了不受限制地进行个体层面的公开发布外,我们还提供了详细的教程,用于在可扩展的云计算环境中对这些数据进行许多最常见的质量控制步骤和分析,并公开发布这个新的分阶段联合调用集,以用作分阶段和填充流程中的单倍型资源。这个联合调用的参考面板将作为支持对不同祖先群体进行研究的关键资源。