Boyle Evan A, Li Yang I, Pritchard Jonathan K
Department of Genetics, Stanford University, Stanford, CA 94305, USA.
Department of Genetics, Stanford University, Stanford, CA 94305, USA; Department of Biology, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Cell. 2017 Jun 15;169(7):1177-1186. doi: 10.1016/j.cell.2017.05.038.
A central goal of genetics is to understand the links between genetic variation and disease. Intuitively, one might expect disease-causing variants to cluster into key pathways that drive disease etiology. But for complex traits, association signals tend to be spread across most of the genome-including near many genes without an obvious connection to disease. We propose that gene regulatory networks are sufficiently interconnected such that all genes expressed in disease-relevant cells are liable to affect the functions of core disease-related genes and that most heritability can be explained by effects on genes outside core pathways. We refer to this hypothesis as an "omnigenic" model.
遗传学的一个核心目标是理解遗传变异与疾病之间的联系。直观地说,人们可能期望致病变异会聚集在驱动疾病病因的关键途径中。但对于复杂性状,关联信号往往分布在基因组的大部分区域,包括许多与疾病无明显关联的基因附近。我们提出,基因调控网络相互连接得足够紧密,以至于在疾病相关细胞中表达的所有基因都可能影响核心疾病相关基因的功能,并且大多数遗传力可以通过对核心途径以外基因的影响来解释。我们将这一假设称为“泛基因”模型。