SynthesisBMC medical genomics2026
Genetic polymorphisms and hypertension in Indian populations: a systematic review and integrative bioinformatics approach.
Synthesis in BMC medical genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHypertension continues to be a major public health issue in India, with increasing incidence associated with both lifestyle factors and genetic susceptibility. Despite genome-wide association studies identifying several loci related with blood pressure worldwide, there is a paucity of integration of these findings within the genetically varied Indian setting.
objectiveThis systematic review aims to compile current information on single-nucleotide polymorphisms linked to hypertension in Indian communities and to elucidate their biological significance by bioinformatics analysis.
methodsUsing PubMed, Scopus, Embase, and Google Scholar, we conducted a systematic review of studies from 2000 to 2025 following PRISMA guidelines. Two reviewers individually screened and extracted data from studies related to SNPs associated to hypertension in Indians. Study quality was assessed using Q-Genie Tool. Functional and pathway studies have been conducted by SNPnexus, Enrichr, STRING, and GTEx.
resultTwenty-two SNPs across 14 genes were evaluated in Indian cohorts, with several variants showing statistically significant associations with hypertension in at least one included study, particularly within the renin-angiotensin-aldosterone, endothelial nitric oxide, and circadian pathways. Functional annotation identified MTHFR rs1801133 as potentially affecting protein function, while several coding and noncoding variants showed predicted functional or regulatory activity. Pathway analysis highlighted hormonal regulation, vasodilation, and nitric oxide biosynthesis. eQTL analysis showed tissue-specific effects in arteries and vascular cells.
conclusionThis is the first systematic study of Indian hypertension using genetic association data and functional bioinformatics. The findings emphasize the relevance of ancestry-specific genomes and the necessity for large-scale, multi-ethnic investigations to guide Indian hypertension precision therapy.
Indexed as
Identifiers
42919376What OpenQuestion holds
Registered trials
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.