医学和人口遗传学的结构变异参考
Ryan L Collins1,2,3, Harrison Brand1,2,4, Konrad J Karczewski1,5
1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nature
|May 29, 2020
概括
来自14891个基因组的结构变异 (SV) 的新参考地图揭示了它们在人类疾病和进化中的重要作用. 这种资源有助于基因解释和诊断查.
科学领域:
- 基因组学
- 人类遗传学
- 人口遗传学
背景情况:
- 结构变异对人类的进化和疾病有重大影响.
- 基因组测序对于生物库和基因检测至关重要.
- 缺少来自高覆盖基因组的综合参考地图.
研究的目的:
- 使用大量多样化的人口数据集创建序列解决结构变体 (SV) 的参考地图.
- 评估SVs对罕见的蛋白质截断事件的贡献及其与自然选择的关系.
- 在临床上有意义的发现中识别大型,罕见的SV并估计其患病率.
主要方法:
- 在gnomAD中从14891个基因组构建结构变异 (SV) 参考地图.
- 分析了全球多样化的433,371个SV.
- 在SV,单核体变体 (SNV) 和自然选择压力之间的相关性分析.
主要成果:
- 发现了433,371个结构变体 (SV),揭示了复杂的景观.
- 估计SVs占罕见蛋白质截断事件的25-29%.
- 在编码区域中发现了对有害 SV 的显著自然选择,并在监管要素中进行了适度的选择.
- 在3. 9%的样本中检测出大量罕见的SV,其中0. 13%可能符合临床偶然发现的标准.
结论:
- 新的 SV 参考地图为人口遗传学,疾病关联研究和临床诊断提供了宝贵的资源.
- 结构变异 (SVs) 在遗传变异中起着重要作用,并处于自然选择之中.
- 通过gnomAD浏览器获得的这项资源将加强基因组数据的解释,并改善诊断查.
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