Saudi Pangenome Project

Comprehensive sequencing across all regions

The project aims to perform comprehensive deep genome sequencing across all geographical regions of Saudi Arabia, ensuring representation from urban centers, rural communities, and historically significant areas. This systematic coverage will create an unprecedented map of genetic diversity across the Kingdom.

Representative tribal ancestry sampling

By carefully selecting participants representing each major tribal lineage in Saudi Arabia, the project will capture the genetic heritage preserved within distinct ancestral groups that have inhabited the Arabian Peninsula for generations. This inclusive sampling strategy ensures the final pangenome represents Saudi Arabia's rich demographic history.

Variant detection at 0.5% allele frequence

Through high-depth sequencing and sophisticated variant calling, the project will detect both common and rare genetic variants present in as few as 1 in 200 individuals. This comprehensive variant catalog will include SNPs, indels, and structural variants that may be unique to or enriched in the Saudi population.

Substantially improve precision medicine and premarital testing

The project will develop Saudi-specific genetic screening tools and diagnostic pipelines that account for population-specific variants and their clinical significance. These customized workflows will enhance genetic counseling, enable more accurate disease risk assessment, and improve the interpretation of genetic test results in the Saudi healthcare system.

We are looking for:

Volunteers

Collaborators who can find more samples (volunteers) from regions we did not include

Funding

Collaborators who can support our project with funding for sequencing and etc.

Clinical decision making

Collaborators who want to include our workflows in clinical decision making, diagnosis, premarital testing, etc.

International collaboration

International collaboration to build more comprehensive pangenomes

Population genetics

Collaboration on population genetics

Interested? Contact us!