基因检测产量增加的预测因素在多变性心肌病症中产生
Michael Killian1, Deepti Ranganathan2, Dearbhla Moore2
1Mater Misercordiae University Hospital, Dublin, Ireland. 111344501@umail.ucc.ie.
Irish journal of medical science
|November 6, 2025
概括
鉴定高伤性心肌病 (HCM) 基因型有助于特定的患者特征. 年龄较小,女性性别和逆曲线左心室缩 (LVH) 模式预测HCM遗传检测中致病变体的产量较高.
科学领域:
- 心脏病学 心脏病学
- 遗传学 遗传学是一种遗传学.
- 遗传疾病 遗传疾病
背景情况:
- 增高性心肌病变 (HCM) 是最常见的遗传性心肌病变,影响大约500人中的1人.
- 基因检测越来越多地用于HCM的诊断和管理.
- 识别HCM基因型的表型预测因子对于有针对性的遗传咨询和级联测试至关重要.
研究的目的:
- 为了确定超性心肌病 (HCM) 基因型的表型预测因子.
- 改善基因向,辅导和级联测试对HCM患者的一级亲属进行.
主要方法:
- 对166名接受HCM基因组测试的成年患者进行了回顾性分析.
- 使用跨胸腔心声学 (TTE) 进行左心室缩 (LVH) 模式的分类.
- 根据美国医学遗传学院 (ACMG) 标准对变异性病原性进行分类.
主要成果:
- 致病或可能致病变体的遗传测试总产量为28.9%.
- 集中性HCM是最常见的模式 (31.9%).
- 年龄较小,女性性别和逆曲线LVH模式是识别致病变异的重要预测因素,特别是瘤基因变异 (p < 0.001).
结论:
- 现型特征如年龄较小,女性性别,家族有突发心脏病死亡史,正常血压和TTE的逆曲线LVH预测HCM中致病变体的产量更高.
- 这些发现支持基于表型的遗传咨询和优化HCM患者的资源配置.
- 反向曲线形态是HCM中瘤变异的重要预测因素.
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