Copy number variation (CNV) identification, interpretation, and database from Brazilian patients

被引:0
|
作者
Silveira Monteiro de Godoy, Victoria Cabral [1 ]
Bellucco, Fernanda Teixeira [1 ]
Colovati, Mileny [1 ]
de Oliveira-Junior, Helio Rodrigues [1 ]
Moyses-Oliveira, Mariana [1 ]
Melaragno, Maria Isabel [1 ]
机构
[1] Univ Fed Sao Paulo, Dept Morfol & Genet, Disciplina Genet, Sao Paulo, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
CNV; copy number variation; database; CNV classification; JOINT CONSENSUS RECOMMENDATION; STRUCTURAL VARIATION; MEDICAL GENETICS; AMERICAN-COLLEGE; HUMAN GENOME; ARRAY CGH; POPULATION; VARIANTS; RESOURCE; ASSOCIATION;
D O I
10.1590/1678-4685-GMB-2019-0218
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
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收藏
页码:1 / 7
页数:7
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