Yasmina Abakkouy argues that polygenic risk scores can possibly be used to predict the risk of developing Alzheimer’s Disease (AD) on a population level. This could lead to more precise risk stratification by classifying people in either high or low AD risk.
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Polygenic Risk Score: Breaking the Wall of Predicting Alzheimer’s
Yasmina Abakkouy
Yasmina Abakkouy is an accomplished biomedical scientist interested in research with a profound passion for genetics and bioinformatics and experience in big data collection and analysis. She obtained her Master‘s degree in Biomedical Sciences with a minor in Forensic Sciences at the KU Leuven, Belgium. She is currently pursuing a PhD at the laboratory of Complex Genetics, Department of Human Genetics (KU Leuven), under supervision of Professor Isabelle Cleynen. Her research focuses on the use of polygenic risk scores in Alzheimer’s Disease for disease prediction and stratification and the search for early markers of Alzheimer’s Disease. As a passionate scientist, her ambition is to contribute to society with scientifically relevant research. Next to this, she is truly inspired by embracing diversity, inclusion, and equality, whether this is at work or in her personal life.