The biomedical landscape of genomic structural variation in the qatari population

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.

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Publication Details

Journal
Nature Communications
Published
2026-01-13
DOI
https://doi.org/10.1038/s41467-025-67763-9
Primary Topic
Genetic Associations and Epidemiology
Type
article
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article

The biomedical landscape of genomic structural variation in the qatari population

Amal Ibrahim, Elbay Aliyev, Rulan Shaath, Aziz Belkadi et al.
Nature Communications
Genetic Associations and Epidemiology
article

The biomedical landscape of genomic structural variation in the qatari population

Amal Ibrahim, Elbay Aliyev, Rulan Shaath, Aziz Belkadi, Niccolò Rossi, Gaurav Thareja, Younes Mokrab, Waleed Aamer, Geethanjali Devadoss Gandhi, Najeeb Syed, Mohammadmersad Ghorbani, Fritz J. Sedlazeck, Alessia Visconti, Aljazi Al-Maraghi, Haroon Naeem, Taghi Aliyev, Ammira Akil, Khalid A. Fakhro, Karsten Suhre, Rozaimi Mohamad Razali, Mario Falchi, Sonia Davila, Farooq Omar Al-Ajli
article en

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.

Nature CommunicationsVol. 17(1)
Qatar Airways (Qatar) (QA), Baylor College of Medicine (US), King's College London (GB), Maastricht University (NL), Sidra Medical and Research Center (QA), Hamad bin Khalifa University (QA), Weill Cornell Medical College in Qatar (QA), University of Turin (IT), Qatar University (QA), Rice University (US), Qatar Foundation (QA)
Openalex Percentile: Top 89%
Genetic Associations and Epidemiology
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