Evidence map›Paper›PMID 38072966›Full record

SynthesisScientific reports2023

Uncovering myocardial infarction genetic signatures using GWAS exploration in Saudi and European cohorts.

Amein K Al-Ali, Abdullah M Al-Rubaish, Rudaynah A Alali, Mohammed S Almansori, Mohammed A Al-Jumaan, Abdullah M Alshehri, Mohammed S Al-Madan, ChittiBabu Vatte, Tess Cherlin, Sylvia Young and 4 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 7 citations in OpenAlex.

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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

14 authors at 5 institutions in 4 countries.

Amein K Al-AliDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman bin Faisal University, 3144, Dammam, Saudi Arabia. aalali@iau.edu.sa.ORCID 0000-0002-0673-3534
Abdullah M Al-RubaishDepartment of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia.
Rudaynah A AlaliDepartment of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia.
Mohammed S AlmansoriDepartment of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia.
Mohammed A Al-JumaanCollege of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia.
Abdullah M AlshehriDepartment of Internal Medicine, King Fahd Hospital of the University, 34445, Al-Khobar, Saudi Arabia.
Mohammed S Al-MadanCollege of Medicine, Imam Abdulrahman bin Faisal University, 31441, Dammam, Saudi Arabia.
ChittiBabu VatteDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman bin Faisal University, 3144, Dammam, Saudi Arabia.
Tess CherlinDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Sylvia YoungCentre for Diabetes Research, Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, 6009, Australia.
Shefali S VermaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Grant MorahanCentre for Diabetes Research, Harry Perkins Institute of Medical Research, University of Western Australia, Nedlands, 6009, Australia.
Bobby P C KoelemanDepartment of Genetics, University Medical Center Utrecht, Utrecht, 85500/3508 GA, The Netherlands.
Brendan J KeatingDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
King Fahd Hospital of the University · SAUniversity of Pennsylvania · USImam Abdulrahman Bin Faisal University · SAThe University of Western Australia · AUUtrecht University · NL

Funding

King Abdulaziz City for Science and Technology 11-BIO1342-46
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have yielded significant insights into the genetic architecture of myocardial infarction (MI), although studies in non-European populations are still lacking. Saudi Arabian cohorts offer an opportunity to discover novel genetic variants impacting disease risk due to a high rate of consanguinity. Genome-wide genotyping (GWG), imputation and GWAS followed by meta-analysis were performed based on two independent Saudi Arabian studies comprising 3950 MI patients and 2324 non-MI controls. Meta-analyses were then performed with these two Saudi MI studies and the CardioGRAMplusC4D and UK BioBank GWAS as controls. Meta-analyses of the two Saudi MI studies resulted in 17 SNPs with genome-wide significance. Meta-analyses of all 4 studies revealed 66 loci with genome-wide significance levels of p < 5 × 10

Indexed as

Genome-Wide Association StudyMyocardial InfarctionGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideSaudi Arabia

Identifiers

PMID38072966
PMCPMC10711020
OpenAlexW4389515948

What OpenQuestion holds

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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.