在 NHLBI Trans-Omics for Precision Medicine 计划中,循环代谢物的遗传架构和分析实践
Nannan Wang1, Franklin P Ockerman2, Laura Y Zhou3
1Department of Epidemiology, The University of Texas Health Science Center at Houston, Houston, TX, USA.
American journal of human genetics
|September 19, 2025
概括
这项研究确定了1775个与667种循环代谢物相关的基因位点,揭示了对人类健康和疾病的新见解. 还发现了性别特异性对代谢物水平的遗传影响.
科学领域:
- 遗传学 是一个遗传学.
- 代谢学 代谢学 代谢学
- 人类健康 人类健康 人类健康
背景情况:
- 循环中的代谢物水平是人类健康和疾病的关键指标,受遗传因素的影响.
- 以前对代谢物的遗传研究往往缺乏祖先多样性,并依赖单个研究分析.
- 美国国家心脏,肺和血液研究所 (NHLBI) 精准医疗的跨奥米学 (TOPMed) 计划提供了广泛的代谢学数据.
研究的目的:
- 在一个祖先多样化的群体中对循环代谢物进行目录和分析.
- 使用全基因组测序数据识别与循环代谢物水平相关的遗传位置.
- 探索性别特异性对代谢物水平的遗传影响.
主要方法:
- 从25058个不同的样本中协调和目录了1,729种循环代谢物.
- 在代谢学数据中开发和比较异常值和归算处理策略.
- 对1135种代谢物进行全基因组关联分析,使用来自16359个人的全基因组测序数据.
主要成果:
- 发现了1,775个与667种代谢物相关的独立位点.
- 确定了160种新的位点-代谢物关联,包括GAB3和VSIG4.4等基因中的基因.
- 在FADS2和UGT2B17等基因中揭示了85种特定于性别的位点-代谢物关联.
结论:
- 遗传因素对各种人群中循环代谢物水平的变化有显著的贡献.
- 这项研究为了解人类代谢组的遗传结构提供了全面的资源.
- 突显代谢调节中的性别差异为精准医学提供了新的途径.
关键词:
在GWAS中,GWAS就是GWAS.在TOPMed中使用.在循环中的代谢产物.一半最小的归算.逆正常转换的正常转换.遇到了QTLs.代谢物目录是代谢物目录.分析了多项研究的分析.性别分层的分析.更多相关视频
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