Evidence map›Paper›PMID 34681031›Full record

ReviewGenes2021

Generalizability of GWA-Identified Genetic Risk Variants for Metabolic Traits to Populations from the Arabian Peninsula.

Prashantha Hebbar, Mohamed Abu-Farha, Jehad Abubaker, Arshad Mohamed Channanath, Fahd Al-Mulla, Thangavel Alphonse Thanaraj

Abstract readReview
In one paragraph

Review in Genes, 2021. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Frontiers in genetics · 2022
    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.

Prashantha HebbarDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, P.O. Box 1180, Dasman 15462, Kuwait.
Mohamed Abu-FarhaDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, P.O. Box 1180, Dasman 15462, Kuwait.ORCID 0000-0001-8357-1252
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, P.O. Box 1180, Dasman 15462, Kuwait.
Arshad Mohamed ChannanathDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, P.O. Box 1180, Dasman 15462, Kuwait.
Fahd Al-MullaResearch Division, Dasman Diabetes Institute, Dasman 15462, Kuwait.ORCID 0000-0001-5409-3829
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, P.O. Box 1180, Dasman 15462, Kuwait.ORCID 0000-0002-4574-5343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arabian Peninsula, located at the nexus of Africa, Europe, and Asia, was implicated in early human migration. The Arab population is characterized by consanguinity and endogamy leading to inbreeding. Global genome-wide association (GWA) studies on metabolic traits under-represent the Arab population. Replicability of GWA-identified association signals in the Arab population has not been satisfactorily explored. It is important to assess how well GWA-identified findings generalize if their clinical interpretations are to benefit the target population. Our recent study from Kuwait, which performed genome-wide imputation and meta-analysis, observed 304 (from 151 genes) of the 4746 GWA-identified metabolic risk variants replicable in the Arab population. A recent large GWA study from Qatar found replication of 30 GWA-identified lipid risk variants. These complementing studies from the Peninsula increase the confidence in generalizing metabolic risk loci to the Arab population. However, both the studies reported a low extent of transferability. In this review, we examine the observed low transferability in the context of differences in environment, genetic correlations (allele frequencies, linkage disequilibrium, effect sizes, and heritability), and phenotype variance. We emphasize the need for large-scale GWA studies on deeply phenotyped cohorts of at least 20,000 Arab individuals. The review further presents GWA-identified metabolic risk variants generalizable to the Arab population.

Indexed as

Genetic Predisposition to DiseaseGenetics, PopulationGenome-Wide Association StudyArabsGene-Environment InteractionHumansKuwaitLinkage DisequilibriumLipid MetabolismMetabolic DiseasesQatarRisk FactorsArab ancestryGWASmetabolic traitspopulation diversityrisk locitransferability of risk loci

Identifiers

PMID34681031
PMCPMC8535608

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.