Genetics and Epigenetics Graduate Group, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Annu Rev Biomed Data Sci. 2023 Aug 10;6:377-395. doi: 10.1146/annurev-biodatasci-102022-120818. Epub 2023 May 17.
Despite monumental advances in molecular technology to generate genome sequence data at scale, there is still a considerable proportion of heritability in most complex diseases that remains unexplained. Because many of the discoveries have been single-nucleotide variants with small to moderate effects on disease, the functional implication of many of the variants is still unknown and, thus, we have limited new drug targets and therapeutics. We, and many others, posit that one primary factor that has limited our ability to identify novel drug targets from genome-wide association studies may be due to gene interactions (epistasis), gene-environment interactions, network/pathway effects, or multiomic relationships. We propose that many of these complex models explain much of the underlying genetic architecture of complex disease. In this review, we discuss the evidence from multiple research avenues, ranging from pairs of alleles to multiomic integration studies and pharmacogenomics, that supports the need for further investigation of gene interactions (or epistasis) in genetic and genomic studies of human disease. Our goal is to catalog the mounting evidence for epistasis in genetic studies and the connections between genetic interactions and human health and disease that could enable precision medicine of the future.
尽管在分子技术方面取得了巨大进展,可以大规模生成基因组序列数据,但大多数复杂疾病的遗传率仍有相当大的比例尚未得到解释。由于许多发现都是单核苷酸变异,对疾病的影响较小到中等,许多变异的功能意义仍然未知,因此我们的新药靶点和治疗方法有限。我们和许多其他人认为,限制我们从全基因组关联研究中识别新的药物靶点的一个主要因素可能是由于基因相互作用(上位性)、基因-环境相互作用、网络/途径效应或多组学关系。我们提出,这些复杂模型中的许多可以解释复杂疾病的大部分潜在遗传结构。在这篇综述中,我们讨论了来自多个研究途径的证据,从等位基因对到多组学整合研究和药物基因组学,这些证据支持在人类疾病的遗传和基因组研究中进一步研究基因相互作用(或上位性)的必要性。我们的目标是列出遗传研究中上位性的累积证据,以及遗传相互作用与人类健康和疾病之间的联系,这将为未来的精准医学奠定基础。