Evidence map›Paper›PMID 41530136›Full record

ArticleNature communications2026

The biomedical landscape of genomic structural variation in the qatari population.

Elbay Aliyev, Najeeb Syed, Alessia Visconti, Taghi Aliyev, Aziz Belkadi, Mohammadmersad Ghorbani, Niccolò Rossi, Haroon Naeem, Geethanjali Devadoss Gandhi, Gaurav Thareja and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Elbay AliyevSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0002-6469-1854
Najeeb SyedSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0003-0460-5237
Alessia ViscontiDepartment of Twin Research & Genetics Epidemiology, King's College London, London, UK.
Taghi AliyevDepartment of Pathology, Maastricht University, Maastricht, The Netherlands.
Aziz BelkadiBioinformatics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.ORCID http://orcid.org/0000-0003-1564-0468
Mohammadmersad GhorbaniSidra Medicine, Doha, Qatar.
Niccolò RossiDepartment of Twin Research & Genetics Epidemiology, King's College London, London, UK.
Haroon NaeemSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0001-9019-8345
Geethanjali Devadoss GandhiSidra Medicine, Doha, Qatar.
Gaurav TharejaBioinformatics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.ORCID http://orcid.org/0000-0003-2277-6400
Aljazi Al-MaraghiSidra Medicine, Doha, Qatar.
Waleed AamerSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0002-1324-3509
Amal Abdulsalam IbrahimDepartment of Biomedical Science, College of Health Sciences, Qatar University, Doha, Qatar.
Rulan ShaathSidra Medicine, Doha, Qatar.
Farooq Omar Al-AjliSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0002-4692-7106
Rozaimi Mohamad RazaliDepartment of Biomedical Science, College of Health Sciences, Qatar University, Doha, Qatar.ORCID http://orcid.org/0000-0002-8996-3975
Fritz J SedlazeckHuman Genome Sequencing Centre, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-6040-2691
Sonia DavilaSidra Medicine, Doha, Qatar.
Ammira AkilSidra Medicine, Doha, Qatar.
Karsten SuhreBioinformatics Core, Weill Cornell Medicine-Qatar, Doha, Qatar.
Younes MokrabSidra Medicine, Doha, Qatar.ORCID http://orcid.org/0000-0003-1611-6692
Mario Falchi *Department of Twin Research & Genetics Epidemiology, King's College London, London, UK.ORCID http://orcid.org/0000-0002-5646-1004
Khalid A Fakhro *Sidra Medicine, Doha, Qatar. kfakhro@sidra.org.ORCID http://orcid.org/0000-0002-3150-1276

Funding

Qatar National Research Fund (QNRF) PPM1-1229-150022
6 · The paper itself

Abstract

We present a large-scale study of structural variation (SV) in the Qatari population, based on short-read whole-genome sequencing (WGS) of 6,141 individuals, identifying 153,946 variants across 5 classes reflecting the region's diversity and evolutionary history. Leveraging consanguinity and biobank phenotypes, we identify >180 putative gene knockouts, and use proteomics to show functional consequences in homozygotes. Conversely, 52 genes show significant depletion of homozygous deletions, eight of which cause severe pediatric disease or murine embryonic lethality. Examining phenotypic extremes uncovers several non-exonic homozygous deletions with large effect, including in SPIRE2 (creatinine), MAGI2 (leanness) and a chr19 microRNA cluster (extreme obesity). Further, SV-GWAS reveals gene-trait associations independent of SNPs, including at ACY1 (acetylation), SLC2A9 (uric acid), UGT1A8 (bilirubin) and ZNF251 (alanine aminotransferase). Notably, 3.2% of Qataris carry findings in medically actionable genes, one-third attributable to SVs. Our findings offer a rich SV reference for a globally understudied population, and demonstrate the utility of consanguineous biobanks for studying SVs in health and disease. All common SVs and tag-SNPs are provided as imputation resource.

Indexed as

Genome, HumanGenomic Structural VariationAnimalsConsanguinityFemaleGenome-Wide Association StudyHomozygoteHumansPhenotypePolymorphism, Single NucleotideProteomicsWhole Genome Sequencing

Identifiers

PMID41530136
PMCPMC12847811

What Socratic 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 Socratic graph.