从成像中获得的体积的遗传查可以识别与功能相关的基因
Sara Monteiro-Martins1, Yong Li1, Oleg Borisov1
1Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany.
Kidney international
|October 12, 2025
概括
用MRI对体积进行全基因组关联研究,确定了新的慢性病 (CKD) 风险基因. 这些遗传发现补充了功能研究,并揭示了以前未知的CKD风险,特别是涉及BICC1.
科学领域:
- 遗传学 是一个遗传学.
- 医疗成像医学成像
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 慢性病 (CKD) 涉及持续的功能障碍或结构异常.
- 遗传学研究往往侧重于功能标志物,如估计的膜过率 (eGFR).
- 基于磁共振成像 (MRI) 的子子体提供了一种补充方法来研究CKD遗传学.
研究的目的:
- 调查MRI衍生的子子体积的全基因组关联研究 (GWAS).
- 为了确定与脏结构和体积相关的遗传位置.
- 为了补充基于eGFR的GWAS,并发现新的CKD风险基因.
主要方法:
- 利用了来自38816名英国生物库欧洲血统参与者的MRI数据.
- 应用了卷积神经网络来推导脏总体积 (TKV) 和子体积 (皮质,髓,鼻).
- 在正常化体积和eGFR上执行GWAS,优先考虑因果基因并评估与临床特征的位置重叠.
主要成果:
- 确定了TKV的34个位点,脑髓的24个位点,皮质的26个位点和鼻腔体积的71个位点,而eGFR的32个位点.
- 皮质和脑髓的优先基因在脏发育和缺氧通路中表现出组织特异性表达和丰富.
- 发现了新的CKD和透析风险关联与BICC1变异,错过了eGFR GWAS.
结论:
- 对脏结构的遗传分析提供了补充功能研究的洞察力.
- 这种方法可以揭示以前未被识别的CKD风险基因.
- 这些发现凸显了结构遗传变异在了解CKD病因学方面的重要性.
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