ACMG/AMP variant classification framework in arginase 1 deficiency: Implications for birth prevalence estimates and diagnostics

Jessie M. Cameron , Mayowa Azeez Osundiji , Rory J. Olson , Bukola A. Olarewaju , Andreas Schulze
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Abstract

Purpose

Arginase 1 (ARG1) deficiency manifests with hyperargininemia and progressive neurological impairment. Recent estimates of birth prevalence using allele frequencies of ARG1 variants do not sufficiently distinguish benign from pathogenic variants. Additionally, ongoing discussions of reproductive carrier screening for diseases such as ARG1 creates a need for improved understanding of ARG1 variant classification. Here, we incorporate American College of Medical Genetics and Genomics/Association for Molecular Pathology–developed guidelines for interpreting gene variants and in silico predictions to select allele frequencies for estimation of global birth prevalence of ARG1 deficiency.

Methods

We interrogated Genome Aggregation Database and PubMed for published (defined as identified in patients with clinically defined arginase deficiency in scientific literature, n = 73) and unpublished ARG1 variants (defined as variants present in Genome Aggregation Database, unique to ARG1, but not yet associated with clinical arginase deficiency, n = 302). American College of Medical Genetics and Genomics/Association for Molecular Pathology guidelines were applied to classify variants using Franklin Genoox artificial intelligence–powered platform and manual review.

Results

Of 73 published ARG1 variants, 16 classified as pathogenic, 30 as likely pathogenic, and 27 as variant of uncertain significance. Of 302 unpublished ARG1 variants, 3 classified as pathogenic, 28 likely pathogenic, and 229 variant of uncertain significance. Mutant allele frequency estimates ranged from 17 to 266 per 100,000 and birth prevalence from 1 in 141,331 to 34,602,076.

Conclusion

We show that a large proportion of ARG1 variants lack adequate evidence of pathogenicity. These findings underscore the significance of functional studies and accumulating clinical data for determination of variant pathogenicity and for improved understanding of global birth prevalence of ARG1 deficiency.

精氨酸酶 1 缺乏症的 ACMG/AMP 变异分类框架:对出生率估计和诊断的影响
目的精氨酸酶 1(ARG1)缺乏症表现为高精氨酸血症和进行性神经功能损害。最近利用 ARG1 变体的等位基因频率估算的出生率并不能充分区分良性变体和致病性变体。此外,由于目前正在讨论对 ARG1 等疾病进行生殖携带者筛查,因此需要进一步了解 ARG1 变体的分类。在此,我们结合美国医学遗传学和基因组学学院/分子病理学协会制定的基因变异解释指南和硅预测来选择等位基因频率,以估计 ARG1 缺乏症的全球出生流行率。方法我们在基因组聚合数据库(Genome Aggregation Database)和PubMed上查询了已发表的(定义为在科学文献中临床定义的精氨酸酶缺乏症患者中发现的,n = 73)和未发表的ARG1变异(定义为基因组聚合数据库中存在的、ARG1特有的、但尚未与临床精氨酸酶缺乏症相关的变异,n = 302)。美国医学遗传学和基因组学学院/分子病理学协会的指南被应用于使用富兰克林Genoox人工智能平台和人工审核对变异进行分类。在 302 个未发表的 ARG1 变异基因中,3 个被归类为致病基因,28 个可能致病,229 个意义不明。变异等位基因频率估计值从每十万人中 17 个到 266 个不等,出生率从每 141,331 人中 1 个到 34,602,076 人中 1 个不等。这些发现强调了功能研究和不断积累的临床数据对于确定变体致病性和更好地了解 ARG1 缺乏症的全球出生率的重要意义。
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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