Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA.
Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX, USA; Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN, USA; Department of Translational Medical Sciences, College of Medicine, Texas A&M University, Houston, TX, USA; Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN, USA.
Trends Genet. 2023 Aug;39(8):600-601. doi: 10.1016/j.tig.2023.05.002. Epub 2023 Jun 7.
Multi-omic analysis is an effective approach for dissecting the mechanisms of diseases; however, collecting multi-omic data in large populations is time-consuming and costly. Recently, Xu et al. developed genetic scores for multi-omic traits and demonstrated their utilization to gain novel insights, advancing the application of multi-omic data in disease research.
多组学分析是剖析疾病机制的有效方法；然而，在大人群中收集多组学数据既耗时又昂贵。最近，Xu 等人开发了多组学特征的遗传评分，并展示了它们在获得新见解方面的应用，推动了多组学数据在疾病研究中的应用。
