生物
遗传学
人类遗传变异
变化(天文学)
进化生物学
计算生物学
遗传变异
维加维斯
人类基因组
基因组
单核苷酸多态性
基因
基因型
天体物理学
物理
作者
Tania Fabo,Paul A. Khavari
标识
DOI:10.1016/j.tig.2023.02.014
摘要
The burden of human disease lies predominantly in polygenic diseases. Since the early 2000s, genome-wide association studies (GWAS) have identified genetic variants and loci associated with complex traits. These have ranged from variants in coding sequences to mutations in regulatory regions, such as promoters and enhancers, as well as mutations affecting mediators of mRNA stability and other downstream regulators, such as 5′ and 3′-untranslated regions (UTRs), long noncoding RNA (lncRNA), and miRNA. Recent research advances in genetics have utilized a combination of computational techniques, high-throughput in vitro and in vivo screening modalities, and precise genome editing to impute the function of diverse classes of genetic variants identified through GWAS. In this review, we highlight the vastness of genomic variants associated with polygenic disease risk and address recent advances in how genetic tools can be used to functionally characterize them.
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