在44,287名多祖先参与者中对肺功能和COPD进行全基因组序列分析
Wonji Kim1, Xiaowei Hu2, Kangjin Kim1,3
1Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
在不同人群中进行大规模的全基因组测序,发现了与慢性阻塞性肺病 (COPD) 和肺功能相关的新遗传变异. 这项研究提高了我们对COPD遗传学和潜在治疗点的理解.
科学领域:
- 基因组学就是基因组学.
- 肺部医学 肺部医学
- 遗传流行病学遗传流行病学
背景情况:
- 在多祖先群体中的全基因组测序 (WGS) 对于发现与COPD等复杂疾病相关的遗传变异至关重要.
- 低频率和特定人群的变异在COPD病原和肺功能变异性中起作用.
研究的目的:
- 通过使用大规模的多祖先WGS数据,识别与肺功能和COPD风险相关的新型遗传变异.
- 精确地绘制先前识别的基因位置,并探索相关基因的生物功能.
主要方法:
- 单核酸变体,结构变体和基因相关联的分析,来自NHLBI Trans-Omics for Precision Medicine (TOPMed) 计划的44,287名参与者.
- 使用英国生物库数据进行复制分析,并使用肺单细胞RNA-seq (scRNA-seq) 评估基因表达.
- 全基因组关联研究 (GWAS) 具有严格的显著性值 (P < 5 × 10-9) 和与eQTL数据的同地化分析.
主要成果:
- 复制已知的COPD和肺功能位点,并确定LY86,MAGI1,GRK7和LINC02668.8.附近的新关联.
- 通过eQTL协同定位识别候选基因 (例如,ADAM19,THSD4,C4B,PSMA4),其中一些通过其他eQTL来源无法找到.
- 多祖先分析改善了HTR4和RIN3等基因的精细映射分辨率;基于基因的分析确定并复制了HMCN1,在肺上皮和免疫细胞中的表达得到了丰富.
结论:
- 大规模的多祖先WGS分析显著推进了对肺功能和COPD的变异发现和精细映射分辨率.
- 该研究强调了COPD相关的生物学相关基因和途径,为未来的研究和治疗开发提供了潜在的目标.
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