Evidence map›Paper›PMID 24330461›Full record

ArticleHuman genomics2013

A study of the role of GATA4 polymorphism in cardiovascular metabolic disorders.

Nzioka P Muiya, Salma M Wakil, Asma I Tahir, Samya Hagos, Mohammed Najai, Daisy Gueco, Nada Al-Tassan, Editha Andres, Nejat Mazher, Brian F Meyer and 1 more

Abstract read
In one paragraph

Article in Human genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Prevalence, risk factors, and interventions for obesity in Saudi Arabia: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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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

11 authors.

Nzioka P Muiya
Salma M Wakil
Asma I Tahir
Samya Hagos
Mohammed Najai
Daisy Gueco
Nada Al-Tassan
Editha Andres
Nejat Mazher
Brian F Meyer
Nduna DzimiriGenetics Department, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia. dzimiri@kfshrc.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study was designed to evaluate the association of GATA4 gene polymorphism with coronary artery disease (CAD) and its metabolic risk factors, including dyslipidaemic disorders, obesity, type 2 diabetes and hypertension, following a preliminary study linking early onset of CAD in heterozygous familial hypercholesterolaemia to chromosome 8, which harbours the GATA4 gene.

resultsWe first sequenced the whole GATA4 gene in 250 individuals to identify variants of interest and then investigated the association of 12 single-nucleotide polymorphisms (SNPs) with the disease traits using Taqman chemistry in 4,278 angiographed Saudi individuals. Of the studied SNPs, rs804280 (1.14 (1.03 to 1.27); p = 0.009) was associated with CAD (2,274 cases vs 2,004 controls), hypercholesterolaemia (1,590 vs 2,487) (1.61 (1.03-2.52); p = 0.037) and elevated low-density lipoprotein-cholesterol (hLDLC) (575 vs 3,404) (1.87 (1.10-3.15); p = 0.020). Additionally, rs3729855_T (1.52 (1.09-2.11; p = 0.013)) and rs17153743 (AG + GG) (2.30 (1.30-4.26); p = 0.005) were implicated in hypertension (3,312 vs 966), following adjustments for confounders. Furthermore, haplotypes CCCGTGCC (χ2 = 4.71; p = 0.041) and GACCCGTG (χ2 = 3.84; p = 0.050) constructed from the SNPs were associated with CAD and ACCCACGC (χ2 = 6.58; p = 0.010) with myocardial infarction, while hypercholesterolaemia (χ2 = 3.86; p = 0.050) and hLDLC (χ2 = 4.94; p = 0.026) shared the AACCCATGT, and AACCCATGTC was associated with hLDLC (χ2 = 4.83; p = 0.028). A 10-mer GACCCGCGCC (χ2 = 7.59; p = 0.006) was associated with obesity (1,631 vs 2,362), and the GACACACCC (χ2 = 4.05; p = 0.044) was implicated in type 2 diabetes mellitus 2,378 vs 1,900).

conclusionOur study implicates GATA4 in CAD and its metabolic risk traits. The finding also points to the possible involvement of yet undefined entities related to GATA4 transcription activity or gene regulatory pathways in events leading to these cardiovascular disorders.

Indexed as

Case-Control StudiesChromosomes, Human, Pair 8Coronary Artery DiseaseDiabetes Mellitus, Type 2FemaleGATA4 Transcription FactorGenetic Predisposition to DiseaseHaplotypesHeterozygoteHumansLinkage DisequilibriumMaleMetabolic DiseasesMiddle AgedMyocardial InfarctionObesityGATA4 protein, humanGATA4 Transcription Factor

Identifiers

PMID24330461
PMCPMC3899629

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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.