发现人类病体中的遗传关联,使用内啡因型增强疾病网络
Jakob Woerner1,2, Vivek Sriram1,2, Yonghyun Nam1
1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
medRxiv : the preprint server for health sciences
|June 9, 2023
概括
这项研究引入了一种增强的疾病网络模型 (ssDDN+),该模型包含了基因与定量特征的相关性. 这一网络揭示了疾病之间的新遗传联系,并突出了多病症中的HDL-C和甘油三等生物标志物.
科学领域:
- 遗传学 遗传学 是一个
- 网络生物学 网络生物学
- 生物统计学 生物统计学
背景情况:
- 多病性,即多种疾病的同时发生,在了解疾病病因方面提出了复杂的挑战.
- 疾病-疾病网络 (DDNs) 模型使用共享的遗传因素,如单核酸多态 (SNP) 的疾病联系.
- 现有的DDN可能无法完全捕捉由定量特征影响的疾病相互作用的遗传基础.
结论:
- ssDDN+提供了对疾病关联的补充性遗传洞察力,超出了传统的基于SNP的方法.
- 这种方法强调了临床实验室测量在调解复杂多病症中的作用.
- 我们的研究结果促进了基于网络的关于类型和遗传异质性的研究,这可能解释了疾病中遗传性缺失的原因.
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