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血纤维素的全基因组分析揭示了与人口差异化的遗传调节剂,具有假定的肝脏作用

Jennifer E Huffman^1,2, Jayna Nicholas³, Julie Hahn⁴

¹Palo Alto VA Institute for Research, VA Palo Alto Heath Care System, Palo Alto, CA.

|September 3, 2024

概括

全基因组测序揭示了影响纤维素水平的新遗传因素,特别是在多样化的群体中. 这些发现增强了我们对纤维素素调节及其与痛风等疾病的联系的理解.

科学领域:

基因组学就是基因组学.
心血管遗传学心血管遗传学
人口遗传学人口遗传学

背景情况:

之前对欧洲人血纤维素水平的遗传研究已经确定了许多相关区域.
然而,遗传性缺失和对非欧洲人群的有限纳入强调了需要更强大和更敏感的研究.
全基因组测序 (WGS) 与基于数组的基因型定型相比,提供了更好的基因组覆盖范围和更好的非欧洲变异的代表性.

研究的目的:

通过对WGS和基于数组的基因型数据的元分析,研究调节血纤维素水平的遗传景观.
确定与纤维素素水平相关的新型遗传位置,重点关注多样化的人口.
探索纤维素多基因风险评分与各种疾病表型的关联.

主要方法:

来自Trans-Omics for Precision Medicine (TOPMed) 计划 (n=32,572) 的WGS数据的元分析.
从基因组流行病学 (CHARGE) 心脏和衰老研究联盟 (n=131,340) 的基于阵列的基因型数据 (n=131,340) 归算到TOPMed或Haplotype参考联盟面板.
在VA百万退伍军人计划中进行全现象关联研究 (PheWAS),以评估纤维素多基因风险得分和疾病表型之间的关联.

主要成果:

鉴定了与纤维素水平相关的18个新型位点,以前在遗传研究中没有检测到.
在非洲人群中,四个新型基因位点是由小等位基因频率 (MAF) 至少比非洲人群高10个百分点的常见变异驱动的.
在FGG;FGB;FGA基因区域发现了一种新信号 (rs28577061),在非洲血统中很常见,但在欧洲人中很少见 (MAFAFR=0.180;MAFEUR=0.008).
三个信号 (SERPINA1,ZFP36L2,TLR10) 包含预测的有害误解变体.
两个位点 (SOCS3,HPN) 每个都包含两个不同的非编码变体.
纤维素多基因风险评分与血栓性和炎症性疾病有关,包括痛风.

结论:

WGS对于在不同种群中增强遗传发现有价值,改善对纤维原体调节的理解.
确定了影响纤维素水平的新型遗传变异和位点,为更全面的遗传架构做出了贡献.
这些发现为纤维素素调节的潜在机制及其与复杂疾病的关联提供了新的见解.

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