HCSeeker: A Classification Tool for Human Genetic Variant Hot and Cold Spots Designed for PM1 and Benign Criteria in the ACMG-AMP Guideline.

IF 6.2 1区 医学 Q1 GENETICS & HEREDITY
Xinpan Yuan, Xingquan Xia, Jinchen Li, Guihu Zhao
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引用次数: 0

Abstract

Purpose: The PM1 criterion, which states that a variant is located in a mutational hot spot and/or critical and well-established functional domain without benign variation (such as the active site of an enzyme), is considered moderate evidence for assessing its pathogenicity. Although guidelines from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) are widely adopted, the PM1 criterion remains limited from lacking a reliable database of variant hot spots. Compared to hot spots, cold spots are neglected by the guidelines. To improve variant classification, we suggest including cold spots for supporting benign classifications. Consequently , we have developed the HCSeeker to provide data support for PM1 and the 'Benign' criteria.

Methods: HCSeeker employs the Kernel Density Estimation (KDE) and the Expectation-Maximization (EM) algorithm to identify hot and cold spot regions.

Results: Through HCSeeker, we identified 988 hot spots and 682 cold spots across 889 genes and provided a public database (http://www.genemed.tech/hcseeker/) for researchers and clinicians to query variant locations, facilitating the application of ACMG/AMP PM1 or 'Benign' criteria.

Conclusion: We developed the HCSeeker tool, which can effectively identify variant hot and cold spots within genes to enhancing the interpretability of gene variants.

HCSeeker: ACMG-AMP指南中针对PM1和良性标准设计的人类遗传变异热点和冷点分类工具。
目的:PM1标准指出,一种变异位于突变热点和/或没有良性变异的关键和完善的功能域(如酶的活性位点),被认为是评估其致病性的中等证据。尽管美国医学遗传学和基因组学学院和分子病理学协会(ACMG/AMP)的指南被广泛采用,但PM1标准仍然受到缺乏可靠的变异热点数据库的限制。与热点相比,指南忽略了冷点。为了改进变体分类,我们建议加入冷点来支持良性分类。因此,我们开发了HCSeeker,为PM1和“良性”标准提供数据支持。方法:HCSeeker采用核密度估计(Kernel Density Estimation, KDE)和期望最大化(Expectation-Maximization, EM)算法识别热点和冷点区域。结果:通过HCSeeker,我们确定了889个基因中的988个热点和682个冷点,并为研究人员和临床医生提供了一个公共数据库(http://www.genemed.tech/hcseeker/)来查询变异位置,方便ACMG/AMP PM1或“Benign”标准的应用。结论:我们开发的HCSeeker工具能够有效识别基因内的变异热点和冷点,提高基因变异的可解释性。
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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来源期刊
Genetics in Medicine
Genetics in Medicine 医学-遗传学
CiteScore
15.20
自引率
6.80%
发文量
857
审稿时长
1.3 weeks
期刊介绍: Genetics in Medicine (GIM) is the official journal of the American College of Medical Genetics and Genomics. The journal''s mission is to enhance the knowledge, understanding, and practice of medical genetics and genomics through publications in clinical and laboratory genetics and genomics, including ethical, legal, and social issues as well as public health. GIM encourages research that combats racism, includes diverse populations and is written by authors from diverse and underrepresented backgrounds.
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