Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland 20742.
Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201.
Genetics. 2017 Nov;207(3):1121-1134. doi: 10.1534/genetics.117.300280. Epub 2017 Sep 12.
(HT) is a complex systemic disease involving transcriptional changes in multiple organs. Here we systematically investigate the pan-tissue transcriptional and genetic landscape of HT spanning dozens of tissues in hundreds of individuals. We find that in several tissues, previously identified HT-linked genes are dysregulated and the gene expression profile is predictive of HT. Importantly, many expression quantitative trait loci (eQTL) SNPs associated with the population variance of the dysregulated genes are linked with blood pressure in an independent genome-wide association study, suggesting that the functional effect of HT-associated SNPs may be mediated through tissue-specific transcriptional dysregulation. Analyses of pan-tissue transcriptional dysregulation profile, as well as eQTL SNPs underlying the dysregulated genes, reveals substantial heterogeneity among the HT patients, revealing two broad groupings - a group where several tissues exhibit HT-associated molecular alterations and a group where such alterations are localized to very few tissues. These two patient subgroups differ in several clinical phenotypes including respiratory, cerebrovascular, diabetes, and heart disease. These findings suggest that the Diffused and Localized subgroups may be driven by different molecular mechanisms and have different genetic underpinning.
HT 是一种复杂的系统性疾病,涉及多个器官的转录变化。在这里,我们系统地研究了跨越数百个人数百种组织的 HT 的全组织转录组和遗传景观。我们发现,在几种组织中,先前确定的与 HT 相关的基因发生失调,基因表达谱可预测 HT。重要的是,许多与失调基因的群体变异相关的表达数量性状基因座(eQTL)SNP 在独立的全基因组关联研究中与血压相关,这表明与 HT 相关的 SNP 的功能效应可能是通过组织特异性转录失调介导的。对全组织转录失调谱以及失调基因的 eQTL SNP 的分析表明,HT 患者之间存在很大的异质性,揭示了两个广泛的分组——一个分组中,几个组织表现出与 HT 相关的分子改变,另一个分组中,这种改变局限于极少数组织。这两个患者亚组在包括呼吸、脑血管、糖尿病和心脏病在内的几种临床表型上存在差异。这些发现表明,弥漫性和局限性亚组可能由不同的分子机制驱动,具有不同的遗传基础。