Multi-omic genetic scores advance disease research

Chengxuan Chen; Leng Han

doi:10.1016/j.tig.2023.05.002

Multi-omic genetic scores advance disease research

Trends Genet. 2023 Aug;39(8):600-601. doi: 10.1016/j.tig.2023.05.002. Epub 2023 Jun 7.

Authors

Chengxuan Chen¹, Leng Han²

Affiliations

¹ 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. Electronic address: cc123@iu.edu.
² 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. Electronic address: lenghan@iu.edu.

PMID: 37295977
PMCID: PMC10526975 (available on 2024-08-01)
DOI: 10.1016/j.tig.2023.05.002

Abstract

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.

Keywords: PheWAS; genetics scores; multi-omics.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Multiomics*
Phenotype

Abstract

Publication types

MeSH terms

Grants and funding