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Sidra Medicine develops genomic tool to predict risk of cognitive decline

Sidra Medicine develops genomic tool to predict risk of cognitive decline GenoMethods.org © genomethods.org
Sidra Medicine develops genomic tool to predict risk of cognitive decline © genomethods.org
Researchers at Sidra Medicine have created a genomic method that combines genetic and brain imaging data to improve early prediction of cognitive decline, paving the way for more tailored brain health strategies.

Sidra Medicine researchers have introduced a new genomic approach that could change how doctors assess the risk of cognitive decline, years before symptoms of Alzheimer’s disease or other dementias appear. The study, published in Genome Medicine, does not offer a diagnostic test, but it does lay out a framework that could improve risk assessment and early intervention for neurodegenerative diseases.

The method uses a multi-threshold polygenic risk model, developed by Dr. Mohamed Janahi and Prof. Younes Mokrab’s team at Sidra Medicine, working with Prof. Andre Altmann and colleagues at University College London. Unlike older models that often miss subtle genetic clues, this approach combines thousands of genetic variants across the genome to capture a wider range of inherited risk factors.

The Sidra Medicine study is among the first to combine large-scale genetic risk scores with hippocampal brain imaging to improve early prediction of cognitive decline.

The team trained their models on data from nearly 24,000 UK Biobank participants and tested them in about 3,000 people from the Alzheimer’s Disease Neuroimaging Initiative and the European Prevention of Alzheimer’s Disease cohort. By combining polygenic risk scores with brain imaging—focusing on changes in the hippocampus, a region important for memory—the researchers improved their ability to spot patterns linked to cognitive problems and to predict future decline.

“Alzheimer’s disease can affect the brain years before symptoms become noticeable. Identifying people at higher risk during these early stages could create important opportunities for earlier monitoring and prevention. Our research improves how we use genetic information to predict cognitive decline and brings us closer to more personalized approaches to brain health,” said Dr. Janahi.

This work is not a direct step to clinical diagnostics, but it moves the field closer to precision medicine. The multi-threshold framework could eventually help identify people who might benefit from closer monitoring or early intervention, and improve how participants are chosen for clinical trials focused on Alzheimer’s and related conditions. Prof. Mokrab noted, “Common diseases are influenced by thousands of genetic variants, with each one contributing only a small amount to overall risk. Our approach brings more of these genetic signals together. This improves our ability to use brain changes to predict cognitive decline and could have applications beyond neurodegenerative diseases.”

Polygenic risk scores are increasingly being explored as tools to identify individuals at higher risk for Alzheimer’s disease, with recent research highlighting their potential to enhance early detection when combined with neuroimaging and other biomarkers.

The study brought together experts in genomics, neuroscience, neuroimaging, and computational biology, reflecting Sidra Medicine’s growing focus on precision medicine and computational genomics. The research advances risk prediction science and signals a shift in approach: from responding to disease after symptoms appear, to identifying risk much earlier. As Prof. Mokrab said, “Combining genomics with imaging and other health information could help us move toward more proactive and precise care.”

By capturing more of the genetic factors behind cognitive decline and linking them with imaging data, Sidra Medicine’s team has set a new standard for early prediction. The findings could eventually apply beyond Alzheimer’s, pointing to a future where complex diseases are identified before symptoms start, and precision medicine becomes a practical part of brain health care.

Adrian Cole Founder, bioengineering editor and methods specialist GenoMethods.org
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Adrian Cole

Adrian Cole is the Founder and Editor-in-Chief of GenoMethods, where he writes about bioengineering, genome and cell engineering, synthetic biology, computational biology and emerging research methods. His editorial approach focuses on how technologies actually work, how they are validated and where the evidence stops supporting the claim.