Evidence map›Paper›PMID 36973604›Full record

ArticleFunctional & integrative genomics2023

Whole-exome sequencing analyses in a Saudi Ischemic Stroke Cohort reveal association signals, and shows polygenic risk scores are related to Modified Rankin Scale Risk.

Fahad A Alkhamis, Majed M Alabdali, Abdulla A Alsulaiman, Abdullah S Alamri, Rudaynah Alali, Mohammed S Akhtar, Sadiq A Alsalman, Cyril Cyrus, Aishah I Albakr, Anas S Alduhalan and 6 more

Open access · hybridFull text read
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Evaluating the Role ofDiagnostics (Basel, Switzerland) · 2026
    Article
  2. 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

16 authors at 4 institutions in 3 countries.

Fahad A AlkhamisDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Majed M AlabdaliDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Abdulla A AlsulaimanDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Abdullah S AlamriDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Rudaynah AlaliDepartment of Internal Medicine, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Mohammed S AkhtarDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Sadiq A AlsalmanDepartment of Neurology, King Fahd Hospital, Alhafof, Saudi Arabia.
Cyril CyrusDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Aishah I AlbakrDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Anas S AlduhalanDepartment of Neurology, King Fahd Hospital of The University, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Divya GandlaDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA.
Khaldoun Al-RomaihCentre for Genomic Medicine, KFSH&RC, Riyadh, 11211, Saudi Arabia.
Mohamed AbouelhodaCentre for Genomic Medicine, KFSH&RC, Riyadh, 11211, Saudi Arabia.
Bao-Li LozaDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA.
Brendan KeatingDepartment of Surgery, Perelman School of Medicine, University of Pennsylvania, Pennsylvania, PA, 19104, USA.
Amein K Al-AliDepartment of Clinical Biochemistry, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia. aalali@iau.edu.sa.ORCID http://orcid.org/0000-0002-0673-3534
King Fahd Hospital of the University · SAImam Abdulrahman Bin Faisal University · SAUniversity of Pennsylvania · USCenter for Genomic Science · IT

Funding

King Abdulaziz City for Science and Technology 14-MED1918-46
6 · The paper itself

Abstract

Ischemic stroke represents a significant societal burden across the globe. Rare high penetrant monogenic variants and less pathogenic common single nucleotide polymorphisms (SNPs) have been described as being associated with risk of diseases. Genetic studies in Saudi Arabian patients offer a greater opportunity to detect rare high penetrant mutations enriched in these consanguineous populations. We performed whole exome sequencing on 387 ischemic stroke subjects from Saudi Arabian hospital networks with up to 20,230 controls from the Saudi Human Genome Project and performed gene burden analyses of variants in 177 a priori loci derived from knowledge-driven curation of monogenic and genome-wide association studies of stroke. Using gene-burden analyses, we observed significant associations in numerous loci under autosomal dominant and/or recessive modelling. Stroke subjects with modified Rankin Scale (mRSs) above 3 were found to carry greater cumulative polygenic risk score (PRS) from rare variants in stroke genes (standardized PRS mean > 0) compared to the population average (standardized PRS mean = 0). However, patients with mRS of 3 or lower had lower cumulative genetic risk from rare variants in stroke genes (OR (95%CI) = 1.79 (1.29-2.49), p = 0.0005), with the means of standardized PRS at or lower than 0. In conclusion, gene burden testing in Saudi stroke populations reveals a number of statistically significant signals under different disease inheritance models. However, interestingly, stroke subjects with mRS of 3 or lower had lower cumulative genetic risk from rare variants in stroke genes and therefore, determining the potential mRS cutoffs to use for clinical significance may allow risk stratification of this population.

Indexed as

Ischemic StrokeStrokeExome SequencingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRisk FactorsSaudi ArabiaDominantExome sequencingRecessiveSaudiStrokeVariants

Identifiers

PMID36973604
PMCPMC10042957
OpenAlexW4360994987

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read3
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 Socratic graph.