Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Am J Hum Genet. 2024 Jan 4;111(1):24-38. doi: 10.1016/j.ajhg.2023.11.009. Epub 2023 Dec 15.
The 2015 American College of Medical Genetics and Genomics and the Association for Molecular Pathology variant classification publication established a standard employed internationally to guide laboratories in variant assessment. Those recommendations included both pathogenic (PP1) and benign (BS4) criteria for evaluating the inheritance patterns of variants, but details of how to apply those criteria at appropriate evidence levels were sparse. Several publications have since attempted to provide additional guidance, but anecdotally, this issue is still challenging. Additionally, it is not clear that those prior efforts fully distinguished disease-gene identification considerations from variant pathogenicity considerations nor did they address autosomal-recessive and X-linked inheritance. Here, we have taken a mixed inductive and deductive approach to this problem using real diseases as examples. We have developed a practical heuristic for genetic co-segregation evidence and have also determined that the specific phenotype criterion (PP4) is inseparably coupled to the co-segregation criterion. We have also determined that negative evidence at one locus constitutes positive evidence for other loci for disorders with locus heterogeneity. Finally, we provide a points-based system for evaluating phenotype and co-segregation as evidence types to support or refute a locus and show how that can be integrated into the Bayesian framework now used for variant classification and consistent with the 2015 guidelines.
2015 年美国医学遗传学与基因组学学院和分子病理学协会发布的变异分类出版物建立了一个国际标准,用于指导实验室进行变异评估。这些建议包括评估变异遗传模式的致病性(PP1)和良性(BS4)标准,但如何在适当的证据水平上应用这些标准的细节很少。此后,有几篇出版物试图提供更多的指导,但据传闻,这个问题仍然具有挑战性。此外,之前的努力似乎并没有完全区分疾病基因识别的考虑因素和变异致病性的考虑因素,也没有解决常染色体隐性和 X 连锁遗传的问题。在这里,我们采用了一种混合归纳和演绎的方法来解决这个问题,使用实际的疾病作为例子。我们为遗传共分离证据开发了一种实用的启发式方法,并且还确定了特定的表型标准(PP4)与共分离标准不可分割地联系在一起。我们还确定,在一个位点的阴性证据构成了具有位点异质性的疾病中其他位点的阳性证据。最后,我们提供了一个基于点的系统来评估表型和共分离作为支持或反驳一个位点的证据类型,并展示了如何将其整合到现在用于变异分类的贝叶斯框架中,并且与 2015 年的指南一致。