Evidence map›Paper›PMID 41616807›Full record

ReviewPhysiological reviews2026

Molecular systems, human noncoding sequence variants, and blood pressure.

Qiongzi Qiu, Mingyu Liang

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qiongzi QiuDepartment of Physiology and Molecular Systems Medicine Initiative, University of Arizona College of Medicine, Tucson, Arizona, United States.
Mingyu LiangDepartment of Physiology and Molecular Systems Medicine Initiative, University of Arizona College of Medicine, Tucson, Arizona, United States.ORCID 0000-0002-6970-989X

Funding

Sequencing Coordination and Data Analysis CoreP01HL149620 · NHLBI · UNIVERSITY OF ARIZONA · PI LIANG, MINGYU · 2020 to 2024
$11.8M
RIGERR: Resources for Investigating Genetic and Epigenetic Regulation of Renal DiseaseRC2DK129964 · NIDDK · UNIVERSITY OF ARIZONA · PI MINGYU LIANG · 2022 to 2026
$4.9M
Regulatory RNA in Hypertension and Renal InjuryR01HL121233 · NHLBI · UNIVERSITY OF ARIZONA · PI MINGYU LIANG · 2014 to 2026
$3.8M
Human Coronary Artery Plaque Transcriptomes and Cardiovascular Risk AssessmentR01HL173778 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI MINGYU LIANG, Michael E Widlansky · 2024 to 2026
$2.0M
HHS | National Institutes of Health (NIH) DK129964HHS | National Institutes of Health (NIH) HL121233HHS | National Institutes of Health (NIH) HL149620HHS | National Institutes of Health (NIH) HL173778NHLBI NIH HHS P01 HL149620NHLBI NIH HHS R01 HL121233NHLBI NIH HHS R01 HL173778NIDDK NIH HHS RC2 DK129964
6 · The paper itself

Abstract

The human genome harbors millions of noncoding sequence variants. Genome-wide association studies (GWAS) have identified thousands of robust associations linking noncoding variants to human physiological traits and complex diseases. Integrative approaches, including expression quantitative trait locus mapping, epigenomic profiling, and precise genome editing in trait-relevant cell types, enable the identification of effector genes and underlying regulatory mechanisms, such as long-range chromatin interactions, that mediate the effects of noncoding variants. Investigations of blood pressure (BP)-associated noncoding sequence variants have uncovered previously unrecognized roles of genes in BP regulation, reinforced the human genetic relevance of established BP regulatory pathways, and elucidated specific regulatory mechanisms by which noncoding variants influence gene expression and BP. Studies of orthologous noncoding genomic regions in animal models corresponding to human genomic regions harboring BP-associated variants have demonstrated substantial effects on BP, suggesting that the phenotypic impact of noncoding sequence variants may be large within human subgroups. Continued expansion of functional studies of trait-associated noncoding sequence variants, together with advances in mapping molecular quantitative trait loci and epigenomic landscapes, will provide novel insights directly relevant to human biology and disease and essential for understanding humans as molecular systems.

Indexed as

Blood PressureGenetic VariationAnimalsGenome-Wide Association StudyHumansQuantitative Trait Lociblood pressureepigeneticsgeneticshypertension

Identifiers

PMID41616807
PMCPMC12965744

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.