Evidence map›Paper›PMID 36845374›Full record

ArticleFrontiers in genetics2023

A cross-tissue transcriptome association study identifies key genes in essential hypertension.

Sihui Huang, Jie Wang, Nannan Liu, Ping Li, Sha Wu, Luming Qi, Lina Xia

Abstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Unveiling the Immune Mechanisms of Hypertension With Single-Cell Transcriptome-Wide Mendelian Randomization.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Epigenomics and transcriptomics association study of blood pressure and incident diagnosis of hypertension in twins.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetics of Hypertension: From Monogenic Analysis to GETomics.Journal of cardiovascular development and disease · 2024
    Review
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

7 authors.

Sihui HuangCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jie WangCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Nannan LiuCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ping LiCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Sha WuCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Luming QiCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Lina XiaCollege of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association study (GWAS) have identified over 1,000 loci associated with blood pressure. However, these loci only explain 6% of heritability. Transcriptome-wide association studies (TWAS) combine GWAS summary data with expression quantitative trait loci (eQTL) to provide a better approach to finding genes associated with complex traits. GWAS summary data (N = 450,584) for essential hypertension originating from European samples were subjected to Post-GWAS analysis using FUMA software and then combined with eQTL data from Genotype-Tissues Expression Project (GTEx) v8 for TWAS analysis using UTMOST, FUSION software, and then validated the results with SMR. FUMA identified 346 significant genes associated with hypertension, FUSION identified 461, and UTMOST cross-tissue analysis identified 34, of which 5 were common. SMR validation identified 3 key genes:

Indexed as

hypertensionpost-gwasSMRTWASUTMOST

Identifiers

PMID36845374
PMCPMC9950398

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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.