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Prediction and Subtyping of Hypertension from Pan-Tissue Transcriptomic and Genetic Analyses
- Source :
- Genetics. 207:1121-1134
- Publication Year :
- 2017
- Publisher :
- Oxford University Press (OUP), 2017.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
Systemic disease
Quantitative Trait Loci
Single-nucleotide polymorphism
Investigations
Biology
Polymorphism, Single Nucleotide
Transcriptome
Genetic Heterogeneity
03 medical and health sciences
Gene expression
Genetics
medicine
Humans
Gene Regulatory Networks
Genetic Predisposition to Disease
Gene
Models, Genetic
medicine.disease
Phenotype
030104 developmental biology
Organ Specificity
Hypertension
Expression quantitative trait loci
Genome-Wide Association Study
Population variance
Subjects
Details
- ISSN :
- 19432631
- Volume :
- 207
- Database :
- OpenAIRE
- Journal :
- Genetics
- Accession number :
- edsair.doi.dedup.....6d31ec399730fd2c5b538197b45acb91
- Full Text :
- https://doi.org/10.1534/genetics.117.300280