A draft UAE-based Arab pangenome reference

Pangenomes provide a robust and comprehensive portrayal of genetic diversity in humans, but Arab populations remain underrepresented. We present a preliminary UAE-based Arab Pangenome Reference (UPR) utilizing 53 individuals of diverse Arab ethnicities residing in the United Arab Emirates. We assembled nuclear and mitochondrial pangenomes using 35.27X high-fidelity long reads, 54.22X ultralong reads and 65.46X Hi-C reads. This approach yielded contiguous haplotype-phased de novo assemblies of exceptional quality, with an average N50 of 124.28 Mb. We discovered 111.96 million base pairs of previously uncharacterized euchromatic sequences absent from existing human pangenomes, the T2T-CHM13 and GRCh38 reference human genomes, and other public datasets. Moreover, we identified 8.94 million population-specific small variants and 235,195 structural variants within the Arab pangenome, not present in linear and pangenome references and public datasets. We detected 883 gene duplications, including the TATA-binding protein gene TAF11L5, which was uniquely duplicated across all Arab populations and that included 15.06% of genes associated with recessive diseases. By exploring the mitochondrial pangenome, we identified 1,436 bp of previously unreported sequences. Our study provides a valuable resource for future genetic research and genomic medicine initiatives in Arab population and other population with similar genetic backgrounds.

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Publication Details

Journal
Nature Communications
Published
2025-07-24
DOI
https://doi.org/10.1038/s41467-025-61645-w
Citations
4
Primary Topic
Language, Linguistics, Cultural Analysis
Type
article
Field-Weighted Citation Impact
41.69

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article

A draft UAE-based Arab pangenome reference

Hanan Abdelhalim ElSokary, Hamda Khansaheb, Mohamed A. Almarri, Nasna Nassir et al.
4 citations
Nature Communications
Language, Linguistics, Cultural Analysis
41.69
article

A draft UAE-based Arab pangenome reference

Hanan Abdelhalim ElSokary, Hamda Khansaheb, Mohamed A. Almarri, Nasna Nassir, Bassam Jamalalail, Mohammed J. Uddin, Maryam AlObathani, Muhammad Kumail, Bipin Balan, Nesrin Mohamed, Hanan Al Suwaidi, Alawi Alsheikh‐Ali, Ahmad Abou Tayoun, Ammar Albanna, Noor Kosaji, Stefan S. du Plessis, Dharana Satsangi, Dasuki Kondaramage, Suhana Shiyas, Madiha Hamdi Saif Abdelmotagali, Olfat Zuhair Salem Ahmed, Douaa Fathi Youssef, Shehzad Hanif
article en
4 citations

Abstract

Pangenomes provide a robust and comprehensive portrayal of genetic diversity in humans, but Arab populations remain underrepresented. We present a preliminary UAE-based Arab Pangenome Reference (UPR) utilizing 53 individuals of diverse Arab ethnicities residing in the United Arab Emirates. We assembled nuclear and mitochondrial pangenomes using 35.27X high-fidelity long reads, 54.22X ultralong reads and 65.46X Hi-C reads. This approach yielded contiguous haplotype-phased de novo assemblies of exceptional quality, with an average N50 of 124.28 Mb. We discovered 111.96 million base pairs of previously uncharacterized euchromatic sequences absent from existing human pangenomes, the T2T-CHM13 and GRCh38 reference human genomes, and other public datasets. Moreover, we identified 8.94 million population-specific small variants and 235,195 structural variants within the Arab pangenome, not present in linear and pangenome references and public datasets. We detected 883 gene duplications, including the TATA-binding protein gene TAF11L5, which was uniquely duplicated across all Arab populations and that included 15.06% of genes associated with recessive diseases. By exploring the mitochondrial pangenome, we identified 1,436 bp of previously unreported sequences. Our study provides a valuable resource for future genetic research and genomic medicine initiatives in Arab population and other population with similar genetic backgrounds.

Nature CommunicationsVol. 16(1)
Dubai Health Authority (AE), Al Noor Hospitals (AE), Dubai Hospital (AE), Genome Canada (CA), Mohammed Bin Rashid University of Medicine and Health Sciences (AE)
High Performance Research Computing, Texas A and M University
Openalex Percentile: Top 0%
Language, Linguistics, Cultural Analysis
41.69
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