Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Hum Genet. 2024 Apr;143(4):545-549. doi: 10.1007/s00439-023-02526-4. Epub 2023 Feb 4.
Reference population databases like the Genome Aggregation Database (gnomAD) have improved our ability to interpret the human genome. Variant frequencies and frequency-derived tools (such as depletion scores) have become fundamental to variant interpretation and the assessment of variant-gene-disease relationships. Clonal hematopoiesis (CH) obstructs variant interpretation as somatic variants that provide proliferative advantage will affect variant frequencies, depletion scores, and downstream filtering. Further, default filtering of variants or genes associated with CH risks filtering bona fide germline variants as variants associated with CH can also cause Mendelian conditions. Here, we provide our insights on interpreting population variant data in genes affected by clonal hematopoiesis, as well as recommendations for careful review of 36 established CH genes associated with neurodevelopmental conditions.
参考人群数据库,如基因组聚集数据库(gnomAD),提高了我们解读人类基因组的能力。变异频率和基于频率的工具(如损耗评分)已成为变异解读和评估变异-基因-疾病关系的基础。克隆性造血(CH)会干扰变异解读,因为提供增殖优势的体细胞变异会影响变异频率、损耗评分和下游过滤。此外,对与 CH 风险相关的变异或基因的默认过滤会将与 CH 相关的真正种系变异过滤掉,因为与 CH 相关的变异也可能导致孟德尔疾病。在这里,我们提供了在受克隆性造血影响的基因中解释人群变异数据的见解,并对与神经发育状况相关的 36 个已确立的 CH 基因进行仔细审查提出了建议。