罕见疾病中变异性致病性解释冲突的主要原因:系统分析
Tatyana E Lazareva1, Yury A Barbitoff1,2, Yulia A Nasykhova1
1Department of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, Mendeleevskaya Line 3, 199034 St. Petersburg, Russia.
对遗传变异的相互矛盾的解释阻碍了罕见疾病的诊断. 改进变异分类和数据共享对于准确的遗传诊断至关重要.
科学领域:
- 遗传学 遗传学是一种遗传学.
- 生物信息学是一种生物信息学.
- 医学基因组学 医学基因组学
背景情况:
- 对遗传性疾病的下一代测序 (NGS) 数据的解释是复杂的,因为大量的数据和众多的候选变体.
- 在遗传中心之间不一致的变体分类阻碍了精确的罕见病诊断.
研究的目的:
- 用ClinVar数据库的数据分析变种分类差异的模式.
- 确定导致对遗传变异的相互矛盾解释的因素.
主要方法:
- 利用ClinVar,一个变体解释的公共档案,来检查变体分类差异.
- 对具有较高矛盾解释率的基因进行了丰富分析.
主要成果:
- 5.7%的ClinVar变体表现出相互矛盾的解释 (COI),主要是不确定的意义 (VUS) 的变体.
- 78%的临床相关基因含有COI的变体;COI率较高的基因往往具有更多的外因子和更长的转录.
- 富含COI的基因经常与心脏和肌肉相关疾病有关.
结论:
- 开发高冲突基因的特定变异解释规则可以提高诊断准确性.
- 强调需要透明地报告变种致病性证据,并将所有变种视为VUS,直到证明相反.
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