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精氨酸酶1缺乏症中的ACMG/AMP变异分类框架:对出生患病率估计和诊断的影响

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

作者信息

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

机构信息

Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.

Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.

出版信息

Genet Med Open. 2024 Jan 23;2:101815. doi: 10.1016/j.gimo.2024.101815. eCollection 2024.

Abstract

PURPOSE

Arginase 1 (ARG1) deficiency manifests with hyperargininemia and progressive neurological impairment. Recent estimates of birth prevalence using allele frequencies of 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 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(defined as identified in patients with clinically defined arginase deficiency in scientific literature,  = 73) and unpublished variants (defined as variants present in Genome Aggregation Database, unique to , but not yet associated with clinical arginase deficiency,  = 302).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 variants, 16 classified as pathogenic, 30 as likely pathogenic, and 27 as variant of uncertain significance. Of 302 unpublished variants, 3 classified as pathogenic, 28 likely pathogenic, and 229 variant of uncertain significance.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 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.

摘要

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障碍。近期利用变异等位基因频率对出生患病率的估计未能充分区分良性变异和致病性变异。此外,对于诸如ARG1缺乏症等疾病进行生殖携带筛查的讨论不断,这就需要更好地理解变异分类。在此,我们纳入了美国医学遗传学与基因组学学会/分子病理学协会制定的解释基因变异的指南以及计算机预测,以选择等位基因频率来估计ARG1缺乏症的全球出生患病率。

方法

我们在基因组聚合数据库(Genome Aggregation Database)和PubMed中查询已发表的(定义为在科学文献中临床确诊为精氨酸酶缺乏症的患者中鉴定出的,n = 73)和未发表的变异(定义为基因组聚合数据库中存在的、特定于该数据库但尚未与临床精氨酸酶缺乏症相关联的变异,n = 302)。应用美国医学遗传学与基因组学学会/分子病理学协会的指南,通过富兰克林基因组人工智能平台和人工审核对变异进行分类。

结果

在73个已发表的变异中,16个分类为致病性变异,30个为可能致病性变异,27个为意义未明的变异。在302个未发表的变异中,3个分类为致病性变异,28个为可能致病性变异,229个为意义未明的变异。突变等位基因频率估计范围为每10万人17至266个,出生患病率为1/141,331至1/34,602,076。

结论

我们表明,很大一部分变异缺乏足够的致病性证据。这些发现强调了功能研究以及积累临床数据对于确定变异致病性和更好地理解ARG1缺乏症全球出生患病率的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4055/11613747/8f2311ec721d/gr1.jpg

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