ArticlePloS one2024
PTPRD gene variant rs10739150: A potential game-changer in hypertension diagnosis.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Genome Imputation for Genome-Wide Association Study of Reproductive Traits in Chinese Duroc, Landrace, and Yorkshire Pigs: Strategy and Validation.Animals : an open access journal from MDPI · 2026Article
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
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Authors and funding
1 author.
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Abstract
backgroundHigh blood pressure, also known as hypertension (HTN), is a complicated disorder that is controlled by a complex network of physiological processes. Untreated hypertension is associated with increased death incidence, rise the need for understanding the genetic basis affecting hypertension susceptibility and development. The current study sought to identify the genetic association between twelve single nucleotide polymorphisms (SNPs) within seven candidate genes (NOS3, NOS1AP, REN, PLA2G4A, TCF7L, ADRB1, and PTPRD).
methodsThe current study included 200 Jordanian individuals diagnosed with hypertension, compared to 224 healthy controls. Whole blood samples were drawn from each individual for DNA isolation and genotyping. The SNPStats tool was used to assess haplotype, genotype, and allele frequencies by the mean of chi-square (χ2).
resultsExcept for rs10739150 of PTPRD (P = 0.0003), the genotypic and allelic distribution of the SNP was identical between patients and controls. The prevalence of the G/G genotype in healthy controls (45.5%) was lower than in hypertension patients (64.3%), suggesting that it might be a risk factor for the disease. PTPRD TTC genetic haplotypes were strongly linked with hypertension (P = 0.003, OR = 4.03).
conclusionThis study provides a comprehensive understanding of the involvement of rs10739150 within the PTPRD gene in hypertension. This new knowledge could potentially transform the way we approach hypertension diagnosis, providing an accurate diagnostic tool for classifying individuals who are at a higher risk of developing this condition.
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