Evidence map›Paper›PMID 35112591›Full record

ArticleAnnals of Saudi medicine

Common disease-associated gene variants in a Saudi Arabian population.

Mariam Aleissa, Taghrid Aloraini, Lamia Fahad Alsubaie, Madawi Hassoun, Ghada Abdulrahman, Abdulrahman Swaid, Wafa Al Eyaid, Fuad Al Mutairi, Faroug Ababneh, Majid Alfadhel and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of Saudi medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

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  20. Prevalence of Consanguineous Marriage among Saudi Citizens of Albaha, a Cross-Sectional Study.International journal of environmental research and public health · 2023
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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 at 3 institutions in 1 country.

Mariam AleissaFrom the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.ORCID 0000-0002-2355-4036
Taghrid AlorainiFrom the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
Lamia Fahad AlsubaieFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Madawi HassounFrom the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
Ghada AbdulrahmanFrom the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
Abdulrahman SwaidFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Wafa Al EyaidFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Fuad Al MutairiFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Faroug AbabnehFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Majid AlfadhelFrom the Department of Genetics, King Abdullah Specialized Children Hospital, King Abdulaziz Medical City, MNGHA.
Ahmed AlfaresFrom the Division of Translational Pathology, Department of Laboratory Medicine, King Abdulaziz Medical City.
King Saud bin Abdulaziz University for Health Sciences · SAAlfaisal University · SAQassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening programs for the most prevalent conditions occurring in a country is an evidence-based prevention strategy. The burden of autosomal recessive disease variations in Saudi Arabia is high because of the highly consanguineous population. The optimal solution for estimating the carrier frequency of the most prevalent diseases is carrier screening.

objectivesIdentify the most influential recessive alleles associated with disease in the Saudi population.

designWe used clinical whole-exome sequencing data from an in-house familial database to evaluate the most prevalent genetic variations associated with disease in a Saudi population. SETTINGS: King Abdullah International Medical Research Center (KAIMRC) and King Abdulaziz Medical City.

methodsWhole exome sequencing data obtained from clinical studies of family members, a cohort of 1314 affected and unaffected individuals, were filtered using the in-house pipeline to extract the most prevalent variant in the dataset.

main outcome measuresMost prevalent genetic variations associated with disease in the Saudi population. SAMPLE SIZE: 1314 affected and unaffected individuals.

resultsWe identified 37 autosomal recessive variants and two heterozygous X-linked variants in 35 genes associated with the most prevalent disorders, which included hematologic (32%), endocrine (21%), metabolic (11%) and immunological (10%) diseases.

conclusionThis study provides an update of the most frequently occurring alleles, which support future carrier screening programs. LIMITATIONS: Single center that might represent the different regions but may be biased. In addition, most of the families included in the database are part of the proband's genetic identification for specific phenotypes. CONFLICT OF INTEREST: None.

Indexed as

FamilyGenetics, PopulationCohort StudiesConsanguinityGenetic Diseases, InbornHeterozygoteHumansSaudi Arabia

Identifiers

PMID35112591
PMCPMC8812157
OpenAlexW4210421508

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.