Evidence map›Paper›PMID 40853437›Full record

ArticleBiochemical genetics2026

HTSNPedia: A Molecular Perspective and Risk Estimator Database for Hypertension-Associated Genes.

Jeyanthi Sankar, Agnal Arumugam, A Antony Prakash, Ling Shing Wong, Karthikeyan Muthusamy

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Article in Biochemical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jeyanthi SankarPharmacogenomics and CADD Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India.ORCID http://orcid.org/0009-0004-1116-6580
Agnal ArumugamAsx Technologies, 53, Metha Nagar, Velachery Main Road, Selaiyur, Chennai, Tamil Nadu, 600 073, India.
A Antony PrakashAsx Technologies, 53, Metha Nagar, Velachery Main Road, Selaiyur, Chennai, Tamil Nadu, 600 073, India.
Ling Shing WongHealth and Life Sciences, INTI International University, 71800, Nilai, Negeri Sembilan, Malaysia.
Karthikeyan MuthusamyPharmacogenomics and CADD Lab, Department of Bioinformatics, Alagappa University, Karaikudi, Tamil Nadu, 630 003, India. karthikeyanm@alagappauniversity.ac.in.ORCID http://orcid.org/0000-0001-7755-3381

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a major public health concern, affecting more than one billion adults worldwide. The etiology of hypertension is associated with various genetic and epigenetic interactions. The candidate genes from various signaling pathways, such as RAAS, KKS and endothelin system, play a significant role in the progression of hypertension. The research aimed to develop a comprehensive knowledge base pertaining to hypertension, which would facilitate the integration of information related to SNPs associated with hypertension, pertinent biological pathways, risk assessment factors, molecular mechanisms, pharmacogenomic aspects of hypertension, a blood pressure calculator, and the existing literature on hypertension. This database has been implemented using HTML and Java programming languages. The deployment of the HTSNPedia database is expected to enhance the efficiency of identifying novel pharmacological drug candidates for the treatment of hypertension. A comprehensive understanding of the interrelationships among signaling pathways, molecular mechanisms, and risk-associated SNPs related to hypertension may significantly contribute to advancements in human health, particularly for individuals affected by this condition. The HTSNPedia is an openly accessible database, available at the following URL: https://www.generisk.in/HTSNPedia/main.html.

Indexed as

Databases, GeneticHypertensionPolymorphism, Single NucleotideGenetic Predisposition to DiseaseHumansRisk FactorsBlood pressure calculatorHTN risk estimatorHypertensionnsSNPsSNPs database

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.