Moreno-Moral Aida, Petretto Enrico
Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore (NUS) Medical School, Singapore.
Program in Cardiovascular and Metabolic Disorders, Duke-National University of Singapore (NUS) Medical School, Singapore
Dis Model Mech. 2016 Oct 1;9(10):1097-1110. doi: 10.1242/dmm.026104.
Complementary to traditional gene mapping approaches used to identify the hereditary components of complex diseases, integrative genomics and systems genetics have emerged as powerful strategies to decipher the key genetic drivers of molecular pathways that underlie disease. Broadly speaking, integrative genomics aims to link cellular-level traits (such as mRNA expression) to the genome to identify their genetic determinants. With the characterization of several cellular-level traits within the same system, the integrative genomics approach evolved into a more comprehensive study design, called systems genetics, which aims to unravel the complex biological networks and pathways involved in disease, and in turn map their genetic control points. The first fully integrated systems genetics study was carried out in rats, and the results, which revealed conserved trans-acting genetic regulation of a pro-inflammatory network relevant to type 1 diabetes, were translated to humans. Many studies using different organisms subsequently stemmed from this example. The aim of this Review is to describe the most recent advances in the fields of integrative genomics and systems genetics applied in the rat, with a focus on studies of complex diseases ranging from inflammatory to cardiometabolic disorders. We aim to provide the genetics community with a comprehensive insight into how the systems genetics approach came to life, starting from the first integrative genomics strategies [such as expression quantitative trait loci (eQTLs) mapping] and concluding with the most sophisticated gene network-based analyses in multiple systems and disease states. Although not limited to studies that have been directly translated to humans, we will focus particularly on the successful investigations in the rat that have led to primary discoveries of genes and pathways relevant to human disease.
与用于识别复杂疾病遗传成分的传统基因图谱方法相辅相成的是,整合基因组学和系统遗传学已成为强大的策略,用于破译构成疾病基础的分子途径的关键遗传驱动因素。广义而言,整合基因组学旨在将细胞水平的特征(如mRNA表达)与基因组联系起来,以确定其遗传决定因素。随着同一系统内几种细胞水平特征的表征,整合基因组学方法演变成一种更全面的研究设计,即系统遗传学,其旨在揭示参与疾病的复杂生物网络和途径,进而绘制其遗传控制点。第一项完全整合的系统遗传学研究是在大鼠中进行的,其结果揭示了与1型糖尿病相关的促炎网络的保守反式遗传调控,并被应用于人类。随后,许多使用不同生物体的研究都源于这个例子。本综述的目的是描述在大鼠中应用的整合基因组学和系统遗传学领域的最新进展,重点关注从炎症性疾病到心脏代谢紊乱等复杂疾病的研究。我们旨在为遗传学领域提供全面的见解,说明系统遗传学方法是如何产生的,从最初的整合基因组学策略(如表达数量性状位点(eQTL)定位)开始,到在多个系统和疾病状态下基于最复杂基因网络的分析结束。虽然不限于已直接应用于人类的研究,但我们将特别关注在大鼠中取得成功的研究,这些研究导致了与人类疾病相关的基因和途径的初步发现。