Godoy Victória Cabral Silveira Monteiro de, Bellucco Fernanda Teixeira, Colovati Mileny, Oliveira-Junior Hélio Rodrigues de, Moysés-Oliveira Mariana, Melaragno Maria Isabel
Universidade Federal de São Paulo, Departamento de Morfologia e Genética, Disciplina de Genética, São Paulo, SP, Brazil.
Genet Mol Biol. 2020 Nov 13;43(4):e20190218. doi: 10.1590/1678-4685-GMB-2019-0218. eCollection 2020.
Copy number variations (CNVs) constitute an important class of variation in the human genome and the interpretation of their pathogenicity considering different frequencies across populations is still a challenge for geneticists. Since the CNV databases are predominantly composed of European and non-admixed individuals, and Brazilian genetic constitution is admixed and ethnically diverse, diagnostic screenings on Brazilian variants are greatly difficulted by the lack of populational references. We analyzed a clinical sample of 268 Brazilian individuals, including patients with neurodevelopment disorders and/or congenital malformations. The pathogenicity of CNVs was classified according to their gene content and overlap with known benign and pathogenic variants. A total of 1,504 autosomal CNVs (1,207 gains and 297 losses) were classified as benign (92.9%), likely benign (1.6%), VUS (2.6%), likely pathogenic (0.2%) and pathogenic (2.7%). Some of the CNVs were recurrent and with frequency increased in our sample, when compared to populational open resources of structural variants: 14q32.33, 22q11.22, 1q21.1, and 1p36.32 gains. Thus, these highly recurrent CNVs classified as likely benign or VUS were considered non-pathogenic in our Brazilian sample. This study shows the relevance of introducing CNV data from diverse cohorts to improve on the interpretation of clinical impact of genomic variations.
拷贝数变异(CNV)是人类基因组变异的重要类别,考虑到不同人群中的不同频率来解释其致病性,对遗传学家来说仍是一项挑战。由于CNV数据库主要由欧洲人和非混血个体组成,而巴西人的基因构成是混合的且种族多样,缺乏人群参考使得对巴西变异体的诊断筛查极为困难。我们分析了268名巴西个体的临床样本,包括患有神经发育障碍和/或先天性畸形的患者。根据CNV的基因内容及其与已知良性和致病性变异的重叠情况对其致病性进行分类。总共1504个常染色体CNV(1207个增加和297个缺失)被分类为良性(92.9%)、可能良性(1.6%)、意义未明(VUS,2.6%)、可能致病(0.2%)和致病(2.7%)。与结构变异的人群公开资源相比,一些CNV是反复出现的且在我们的样本中频率增加:14q32.33、22q11.22、1q21.1和1p36.32增加。因此,这些高度反复出现的CNV在我们的巴西样本中被分类为可能良性或意义未明,被认为是非致病性的。这项研究表明引入来自不同队列的CNV数据对于改善基因组变异临床影响的解释具有重要意义。