Schmitz Matthew J, Bashar Aryan, Soman Vishal, Nkrumah Esther A F, Al Mulla Hajer, Darabi Helia, Wang John, Kiehl Paris, Sethi Rahil, Dungan Jeffrey, Gregg Anthony R, Rajkovic Aleksandar, Yatsenko Svetlana A, Chandran Uma, Aarabi Mahmoud
Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Data Science Graduate Program, University of Colorado Boulder, Boulder, CO, USA.
Am J Hum Genet. 2025 Jan 2;112(1):181-195. doi: 10.1016/j.ajhg.2024.11.004. Epub 2024 Nov 29.
Analysis of exome data from the latest release of the Genome Aggregation Database (gnomAD v.4.1.0) revealed a significant carrier burden of pathogenic/likely pathogenic (P/LP) variants in genes associated with autosomal-recessive conditions across diverse ancestral populations. Carrier screening panels are routinely offered to reproductive partners to inform their risk of having an affected child. Current guidelines from the American College of Medical Genetics and Genomics (ACMG) recommend screening for genes with a carrier frequency of at least 1/200 and associated with moderate/severe conditions. Here, we systematically analyzed >700,000 gnomAD v.4.1.0 exomes spanning eight ancestries to estimate the carrier frequency of P/LP variants in 2,987 genes associated with autosomal-recessive conditions. After expert curation for clinical severity, we identified 286 genes meeting the criteria for carrier screening. The number of genes exceeding the 1/200 threshold varied across populations, with 40 in the South Asian ancestry and up to 119 in the Ashkenazi Jewish population. Simulations showed that pan-ethnic screening panels offer advantages for individuals of diverse or admixed ancestry, while ancestry-specific panels may be preferable for genetically homogeneous populations. This study leveraged the most comprehensive genomic dataset to date to provide an updated candidate gene list for equitable carrier screening across diverse populations. Our findings highlight the need for continued expansion of genomic resources to better understand rare disease risk and inform screening efforts in underrepresented groups.
对基因组聚合数据库最新版本(gnomAD v.4.1.0)的外显子组数据进行分析后发现,在不同祖先群体中,与常染色体隐性疾病相关的基因存在大量致病性/可能致病性(P/LP)变异携带者。通常会为生育伴侣提供携带者筛查面板,以告知他们生育患病孩子的风险。美国医学遗传学与基因组学学会(ACMG)的现行指南建议对携带者频率至少为1/200且与中度/重度疾病相关的基因进行筛查。在此,我们系统分析了跨越八个祖先群体的70多万份gnomAD v.4.1.0外显子组,以估计与常染色体隐性疾病相关的2987个基因中P/LP变异的携带者频率。在对临床严重程度进行专家整理后,我们确定了286个符合携带者筛查标准的基因。超过1/200阈值的基因数量因群体而异,南亚祖先群体中有40个,阿什肯纳兹犹太人群体中多达119个。模拟结果表明,泛种族筛查面板对不同或混合血统的个体具有优势,而特定血统的面板可能更适合基因同质的群体。本研究利用了迄今为止最全面的基因组数据集,提供了一份更新的候选基因列表,用于在不同人群中进行公平的携带者筛查。我们的研究结果强调了持续扩展基因组资源的必要性,以便更好地了解罕见病风险,并为代表性不足群体的筛查工作提供信息。