ArticleHypertension (Dallas, Tex. : 1979)2020
Comparative and Functional Genomic Resource for Mechanistic Studies of Human Blood Pressure-Associated Single Nucleotide Polymorphisms.
Article in Hypertension (Dallas, Tex. : 1979), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study.Nature communications · 2023Pooled it
- Molecular systems, human noncoding sequence variants, and blood pressure.Physiological reviews · 2026Review
- Chromatin interaction maps of human arterioles reveal mechanisms for the genetic regulation of blood pressure.Nature communications · 2025Article
- Physiological role and mechanisms of action for a long noncoding haplotype region.Cell reports · 2025Article
- Controversy in Hypertension: Pro-Side of the Argument Using Artificial Intelligence for Hypertension Diagnosis and Management.Hypertension (Dallas, Tex. : 1979) · 2025Review
- Chromatin State Maps of Blood Pressure-Relevant Renal Segments Reveal Potential Regulatory Role for SNPs.Hypertension (Dallas, Tex. : 1979) · 2025Article
- microRNA and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2025Review
- Proteomic Profiles of Human Arterioles Isolated From Fresh Adipose Tissue or Following Overnight Storage.Laboratory investigation; a journal of technical methods and pathology · 2024Article
- Unique Associations of DNA Methylation Regions With 24-Hour Blood Pressure Phenotypes in Black Participants.Hypertension (Dallas, Tex. : 1979) · 2022Article
- The rs7404339 AA Genotype inFrontiers in cardiovascular medicine · 2022Article
- Advancing Physiology with Expanded Multi-Omics.Function (Oxford, England) · 2022Article
- Transfer RNA Fragments in the Kidney in Hypertension.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Modeling Precision Cardio-Oncology: Using Human-Induced Pluripotent Stem Cells for Risk Stratification and Prevention.Current oncology reports · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
The objective of the current study is to use comparative and functional genomic analysis to help to understand the biological mechanism mediating the effect of single nucleotide polymorphisms (SNPs) on blood pressure. We mapped 26 585 SNPs that are in linkage disequilibrium with 1071 human blood pressure-associated sentinel SNPs to 9447 syntenic regions in the mouse genome. Approximately 21.8% of the 1071 linkage disequilibrium regions are located at least 10 kb from any protein-coding gene. Approximately 300 blood pressure-associated SNPs are expression quantitative trait loci for a few dozen known blood pressure physiology genes in tissues including specific kidney regions. Blood pressure-associated sentinel SNPs are significantly enriched for expression quantitative trait loci for blood pressure physiology genes compared with randomly selected SNPs (
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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.