Evidence map›Paper›PMID 35627132›Full record

ArticleGenes2022

Genetic Variants of

Taqweem Ul Haq, Abdul Zahoor, Yasir Ali, Yangchao Chen, Fazal Jalil, Aftab Ali Shah

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

6 authors at 3 institutions in 2 countries.

Taqweem Ul HaqDepartment of Biotechnology, University of Malakand, Chakdara 18000, Pakistan.
Abdul ZahoorDepartment of Biotechnology, University of Malakand, Chakdara 18000, Pakistan.
Yasir AliDepartment of Biotechnology, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Pakistan.ORCID 0000-0001-8895-7808
Yangchao ChenSchool of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Fazal JalilDepartment of Biotechnology, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Pakistan.ORCID 0000-0002-3372-4457
Aftab Ali ShahDepartment of Biotechnology, University of Malakand, Chakdara 18000, Pakistan.ORCID 0000-0003-1702-9777
University of Malakand · PKAbdul Wali Khan University Mardan · PKChinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variants in microRNA genes have a detrimental effect on miRNA-mediated regulation of gene expression and may contribute to coronary artery disease (CAD). CAD is the primary cause of mortality worldwide. Several environmental, genetic, and epigenetic factors are responsible for CAD susceptibility. The contribution of protein-coding genes is extensively studied. However, the role of microRNA genes in CAD is at infancy. The study is aimed to investigate the impact of rs895819, rs11614913, and rs2168518 variants in

Indexed as

Coronary Artery DiseaseMicroRNAsCase-Control StudiesGenetic Predisposition to DiseaseHumansPakistanPolymorphism, Single NucleotideMicroRNAsMIRN196 microRNA, humanMIRN27 microRNA, humanallele-specific PCRCADDNAmiRNAmolecular markerSNP

Identifiers

PMID35627132
PMCPMC9141586
OpenAlexW4224313708

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.