Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses.
Mahashweta BasuMahfuza SharminAvinash DasNishanth Ulhas NairKun WangJoo Sang LeeYen-Pei Christy ChangEytan RuppinSridhar HannenhalliPublished in: Genetics (2017)
Hypertension (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 Diffused group where several tissues exhibit HT-associated molecular alterations and a Localized 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.
Keyphrases
- genome wide
- gene expression
- dna methylation
- blood pressure
- copy number
- transcription factor
- genome wide association study
- end stage renal disease
- single cell
- type diabetes
- poor prognosis
- genome wide identification
- ejection fraction
- newly diagnosed
- chronic kidney disease
- pulmonary hypertension
- prognostic factors
- peritoneal dialysis
- metabolic syndrome
- blood glucose
- rna seq
- heat stress
- adipose tissue
- glycemic control
- genome wide association