对常见疾病的多基因和肠道元基因组风险预测的整合
Yang Liu1,2,3,4,5, Scott C Ritchie6,7,8,9,10,11, Shu Mei Teo6,7,12
1Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK. yl985@medschl.cam.ac.uk.
Nature aging
|March 26, 2024
概括
将基因组和肠道微生物组数据与传统风险因素相结合,显著提高了对常见慢性疾病 (如冠状动脉疾病和2型糖尿病) 的预测能力.
科学领域:
- 基因组学就是基因组学.
- 微生物组研究的研究.
- 流行病学 流行病学
背景情况:
- 多组学方法为非侵入性疾病风险概况和早期检测提供了潜力.
- 传统的风险因素用于预测常见的慢性疾病.
研究的目的:
- 研究基因组和肠道基因组风险评估的综合价值,与预测冠状动脉疾病 (CAD),2型糖尿病 (T2D),阿尔茨海默病和前列腺癌的常规风险因素相比.
- 评估多基因风险评分 (PRS) 和肠道微生物组评分的增量预测值.
主要方法:
- 基于人口的前性队列研究,对电子健康记录进行了大约18年的随访.
- 使用了多基因风险评分 (PRS) 和肠道微生物组评分.
- 综合风险模型 (PRS,肠道微生物群,常规因素) 的预测性能与仅使用常规风险因素进行比较.
主要成果:
- 多基因风险评分 (PRSs) 对所有研究疾病的传统风险因素进行了更好的预测.
- 肠道微生物组得分提高了对CAD,T2D和前列腺癌的预测能力.
- 结合PRS,肠道微生物组评分和传统风险因素的综合风险模型显示了所有疾病的最高预测性能.
结论:
- 综合基因组和肠道基因组风险模型显著提高了对常见慢性疾病传统风险因素的预测价值.
- 与传统因素相结合的多组学数据为疾病风险预测提供了更强大的方法.
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