Evidence map›Paper›PMID 33753911›Full record

ArticleEuropean journal of human genetics : EJHG2022

Unraveling a fine-scale high genetic heterogeneity and recent continental connections of an Arabian Peninsula population.

Muthukrishnan Eaaswarkhanth, Ajai K Pathak, Linda Ongaro, Francesco Montinaro, Prashantha Hebbar, Osama Alsmadi, Mait Metspalu, Fahd Al-Mulla, Thangavel Alphonse Thanaraj

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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

7 citing papers in PubMed.

  1. Appreciating diversity: a review of the Iranian genomic landscape.European journal of human genetics : EJHG · 2026
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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

9 authors.

Muthukrishnan Eaaswarkhanth *Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.ORCID 0000-0001-9631-8555
Ajai K Pathak *Estonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID 0000-0003-2088-3616
Linda OngaroEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID 0000-0003-1900-3394
Francesco MontinaroEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Prashantha HebbarDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Osama AlsmadiDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait.
Mait MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Estonia.ORCID 0000-0003-3099-9161
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait. fahd.almulla@dasmaninstitute.org.ORCID 0000-0001-5409-3829
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman, Kuwait. alphonse.thangavel@dasmaninstitute.org.ORCID 0000-0002-4574-5343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have showed the diverse genetic architecture of the highly consanguineous populations inhabiting the Arabian Peninsula. Consanguinity coupled with heterogeneity is complex and makes it difficult to understand the bases of population-specific genetic diseases in the region. Therefore, comprehensive genetic characterization of the populations at the finest scale is warranted. Here, we revisit the genetic structure of the Kuwait population by analyzing genome-wide single nucleotide polymorphisms data from 583 Kuwaiti individuals sorted into three subgroups. We envisage a diverse demographic genetic history among the three subgroups based on drift and allelic sharing with modern and ancient individuals. Furthermore, our comprehensive haplotype-based analyses disclose a high genetic heterogeneity among the Kuwaiti populations. We infer the major sources of ancestry within the newly defined groups; one with an obvious predominance of sub-Saharan/Western Africa mostly comprising Kuwait-B individuals, and other with West Eurasia including Kuwait-P and Kuwait-S individuals. Overall, our results recapitulate the historical population movements and reaffirm the genetic imprints of the legacy of continental trading in the region. Such deciphering of fine-scale population structure and their regional genetic heterogeneity would provide clues to the uncharted areas of disease-gene discovery and related associations in populations inhabiting the Arabian Peninsula.

Indexed as

Genetic HeterogeneityPolymorphism, Single NucleotideConsanguinityGenetics, PopulationGenetic VariationHaplotypesHumansKuwait

Identifiers

PMID33753911
PMCPMC8904638

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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.