The Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Mary Ann Swetland Center for Environmental Health, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Hum Genet. 2023 Jan;142(1):11-19. doi: 10.1007/s00439-022-02478-1. Epub 2022 Aug 22.
Pathogenic variants on the X-chromosome can have more severe consequences for hemizygous males, while heterozygote females can avoid severe consequences due to diploidy and the capacity for nonrandom expression. Thus, when an allele is more common in females this could indicate that it increases the probability of early death in the male hemizygous state, which can be considered a measure of pathogenicity. Importantly, large-scale genomic data now makes it possible to compare allele proportions between the sexes. To discover pathogenic variants on the X-chromosome, we analyzed exome data from 125,748 ancestrally diverse participants in the Genome Aggregation Database (gnomAD). After filtering out duplicates and extremely rare variants, 44,606 of the original 348,221 remained for analysis. We divided the proportion of variant alleles in females by the proportion in males for all variant sites, and then placed each variant into one of three a priori categories: (1) Reference (Primarily synonymous and intronic), (2) Unlikely-to-be-tolerated (Primarily missense), and (3) Least-likely-to-be-tolerated (Primarily frameshift). To assess the impact of ploidy, we compared the distribution of these ratios between pseudoautosomal and non-pseudoautosomal regions. In the non-pseudoautosomal regions, mean female-to-male ratios were lowest among Reference (2.40), greater for Unlikely-to-be-tolerated (2.77) and highest for Least-likely-to-be-tolerated (3.28) variants. Corresponding ratios were lower in the pseudoautosomal regions (1.52, 1.57, and 1.68, respectively), with the most extreme ratio being just below 11. Because pathogenic effects in the pseudoautosomal regions should not drive ratio increases, this maximum ratio provides an upper bound for baseline noise. In the non-pseudoautosomal regions, 319 variants had a ratio over 11. In sum, we identified a measure with a dataset specific threshold for identifying pathogenicity in non-pseudoautosomal X-chromosome variants: the female-to-male allele proportion ratio.
X 染色体上的致病性变体可能对半合子男性产生更严重的后果,而杂合子女性由于二倍体和非随机表达的能力可以避免严重的后果。因此,当一个等位基因在女性中更为常见时,这可能表明它增加了男性半合子状态下早期死亡的可能性,这可以被认为是致病性的一个衡量标准。重要的是,大规模基因组数据现在使得比较性别之间等位基因比例成为可能。为了在 X 染色体上发现致病性变体,我们分析了来自 125748 名具有祖先多样性的基因组聚集数据库 (gnomAD) 参与者的外显子组数据。在剔除重复项和极其罕见的变体后,原始的 348221 个变体中有 44606 个保留用于分析。我们将女性变体等位基因的比例除以男性变体等位基因的比例,然后将每个变体归入三个预先确定的类别之一:(1)参考(主要是同义突变和内含子),(2)不太可能耐受(主要是错义突变),和(3)最不可能耐受(主要是移码突变)。为了评估二倍体的影响,我们比较了这些比值在假常染色体和非假常染色体区域之间的分布。在非假常染色体区域,参考区(2.40)的女性与男性比值最低,不太可能耐受区(2.77)和最不可能耐受区(3.28)的比值最高。假常染色体区域的相应比值较低(分别为 1.52、1.57 和 1.68),比值最极端的区域仅略低于 11。由于假常染色体区域的致病性效应不应导致比值增加,因此该最大比值提供了基线噪声的上限。在非假常染色体区域,有 319 个变体的比值超过 11。总之,我们确定了一种在非假常染色体 X 染色体变体中识别致病性的具有数据集特定阈值的衡量标准:女性与男性等位基因比例比值。