AI for Disease Analysis

This subgroup focuses on identifying genetic markers and disease patterns to better understand complex conditions such as cancer, cardiovascular disease, and diabetes. Leveraging genomic and proteomic data from initiatives like the Qatar Genome Project (QGP) and Qatar Biobank, researchers uncover population-specific characteristics that inform precision medicine strategies. The group’s findings have been published in leading journals, including Nature Methods, Nature Communications, and Lancet Oncology.

People

Dr. Mohamad Saad

Senior Scientist

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Dr. Mohamed M. El-Shrif

Software Engineer

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Khalid M. Kunji

Software Engineer

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Abdullah Shaar

Research Assistant

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Publications

Comprehensive Analysis of Rare Variants Associated with Genetic Predisposition to Non-BRCA Familial Breast Cancer Among Arabs

Ehsan Ullah, Hikmat Abdel-Razeq, Sana Bentebbal, Abdullah Shaar, Nehad Alajez, Mohamad Saad, Julie V. Decock
Clinical Cancer Research (2025)

Genome‐Wide Association Study for Resting Electrocardiogram in the Qatari Population Identifies 6 Novel Genes and Validates Novel Polygenic Risk Scores

Nahin Khan, Abdullah Shaar, Khalid Kunji, Atlas Khan, Mohamed Elshrif, Mohammed Bashir, Mohammed Thamer Ali, Ayman Al Haj Zen, Krzysztof Kiryluk, Georges Nemer, Akl C. Fahed, Mohamad Saad
Journal of the American Heart Association (2025)