KAUST, Tufts, and JIHS researchers created pangenome graphs using Saudi and Japanese samples, named JaSaPaGe. These graphs address the underrepresentation of these populations in existing pangenome databases, which are used as references for understanding individual DNA. The population-specific pangenomes are expected to improve variant calling and diagnostic accuracy for genetic disorders in these groups. Why it matters: This work promotes precision medicine and reduces diagnostic gaps for underrepresented populations by providing more relevant genetic baselines.
KAUST researchers have published a study in Nature Genetics detailing genomic analysis of wild rice relatives. The study examined nine tetraploid and two diploid wild relatives of rice, finding significant genetic diversity due to transposable elements. This diversity includes genes that confer resilience to heat, drought, and salinity. Why it matters: These findings can help improve rice yields, introduce rice cultivation to currently untenable regions, and protect rice crops against climate change, especially in the Middle East.
KAUST researchers have developed a genomic resource for Tausch’s goatgrass (Aegilops tauschii), a wild relative of wheat, by creating 46 high-quality genome assemblies. They compiled 493 genetically distinct accessions from an initial 900, collaborating with the Open Wild Wheat Consortium to select accessions with traits of interest, such as disease resistance and stress tolerance. Screening these assemblies helped identify rust resistance genes, including mapping a stem rust resistance gene to the Sr33 locus. Why it matters: This genomic resource will accelerate gene discovery in wheat, potentially improving modern wheat varieties and enhancing global food security.
KAUST researchers have been selected as finalists for two ACM Gordon Bell Prizes for high-performance computing. One project used NVIDIA GPUs to enhance genetic studies from the UK Biobank, achieving 133x speedup over existing software. The other developed an exascale climate emulator with higher spatial-temporal resolution than current models, demonstrated on supercomputers like Shaheen III. Why it matters: The recognition highlights KAUST's strength in high-performance computing research and its contributions to both genetic analysis and climate modeling.
Researchers from KAUST, King Faisal Specialist Hospital, and collaborators have developed a new method to predict cardiometabolic disease risk in underrepresented ethnic populations using genetic information and public databases. The study focused on Arab communities and created a framework to determine polygenic scores for more accurate heart disease prediction. The framework was validated using records of over 5,000 Arab patients, demonstrating that genetic risk complements conventional risk factors. Why it matters: This research addresses a critical gap in genomic data for non-European populations, potentially leading to more effective and personalized healthcare strategies in the Arab world and beyond.
KAUST researchers developed a new algorithm for detecting cause and effect in large datasets. The algorithm aims to find underlying models that generate data, helping uncover cause-and-effect dynamics. It could aid researchers across fields like cell biology and genetics by answering questions that typical machine learning cannot. Why it matters: This advancement could equip current machine learning methods with abilities to better deal with abstraction, inference, and concepts such as cause and effect.
KAUST alumnae Dr. Fatimah Abdulhakim, Dr. Nadine Hosny El Said, and Dr. Rana Hussein Ali were honored in the 2025 L’Oréal-UNESCO For Women in Science Awards. Abdulhakim was recognized for her research on plant immune response, while El Said was honored for her work on epigenetic science and RNA-based therapies. Ali was named a 2025 German Laureate in the global L’Oréal-UNESCO For Women in Science Awards for her work at Goethe University Frankfurt. Why it matters: The recognition highlights KAUST's role in fostering female scientific talent and advancing research in areas crucial for regional food security and global healthcare.
Hanin Ahmed, a KAUST Ph.D. graduate in plant science, is now an Ibn-Rushd Postdoctoral Fellow at The Centre for Anthropology and Genomics of Toulouse, France. Her Ph.D. research at KAUST focused on the population genomics and evolutionary history of fonio millet and einkorn wheat. One key finding was the influence of ethnic groups on the genetic diversity of fonio millet, and insights into wheat adaptation during early agriculture from einkorn wheat research published in Nature. Why it matters: This highlights KAUST's role in training researchers who are contributing to advancements in genomics and agriculture, with implications for crop improvement and understanding the impact of social factors on plant genetics.