Evidence map›Paper›PMID 39355906›Full record

ArticleCirculation research2024

Lu Liu, Joséphine Henry, Yingwei Liu, Charlène Jouve, Jean-Sébastien Hulot, Adrien Georges, Nabila Bouatia-Naji

Abstract read
In one paragraph

Article in Circulation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Article
  5. Review
  6. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  7. Article
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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.

Lu LiuUniversité Paris Cité, Inserm, PARCC, Paris, France.
Joséphine HenryUniversité Paris Cité, Inserm, PARCC, Paris, France.ORCID 0000-0002-3343-4505
Yingwei LiuUniversité Paris Cité, Inserm, PARCC, Paris, France.
Charlène JouveUniversité Paris Cité, Inserm, PARCC, Paris, France.ORCID 0000-0002-5792-4621
Jean-Sébastien HulotUniversité Paris Cité, Inserm, PARCC, Paris, France.ORCID 0000-0001-5463-6117
Adrien GeorgesUniversité Paris Cité, Inserm, PARCC, Paris, France.ORCID 0000-0003-4208-2393
Nabila Bouatia-NajiUniversité Paris Cité, Inserm, PARCC, Paris, France.ORCID 0000-0001-5424-2134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association studies implicate common genetic variations in the

methodsFine mapping analyses included Bayesian colocalization to identify the most likely causal variant. Human induced pluripotent stem cells were genome-edited using CRISPR-Cas9 (Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated protein 9) to delete or modify candidate enhancer regions and generate

resultsMultitrait colocalization analyses pointed at rs11172113 as the most likely causal variant in

conclusionsOur findings support allele-specific

Indexed as

Extracellular MatrixInduced Pluripotent Stem CellsLow Density Lipoprotein Receptor-Related Protein-1Snail Family Transcription FactorsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMuscle, Smooth, VascularMyocytes, Smooth MusclePolymorphism, Single NucleotideVascular DiseasesLow Density Lipoprotein Receptor-Related Protein-1LRP1 protein, humanSNAI1 protein, humanSnail Family Transcription Factorsinduced pluripotent stem cellslow density lipoprotein receptor-related protein-1myocytes, smooth musclevascular diseases

Identifiers

PMID39355906
PMCPMC11542979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.