Researchers from Tel Aviv University revealed the creation of a computational model to forecast a higher hereditary risk for breast cancer on Tuesday.
The algorithm will make it possible to calculate a person’s unique genetic risk score for breast cancer based on their genetic profile for the first time in Israel.
The method may save lives and enable a more effective use of the resources available to the healthcare system, according to a press statement from the university. It may also serve as the foundation for the implementation of a personalized early detection policy.
The study, which used the genomic information of roughly a quarter of a million women with and without breast cancer, was conducted on a wide scale internationally and was published in the Journal of Medical Genetics. It then applied its findings to about 2,000 Israeli women.
According to professor Rani Elkon of the Department of Human Molecular Genetics and Biochemistry at TAU’s School of Medicine, “our method will enable the health system to move to a personalized early detection policy… those who are identified as being at high risk will be tested at a younger age and more frequently.”
After lung cancer, breast cancer is the second-most common cancer among women worldwide.
The likelihood that a woman will pass away from the condition is 1 in 39, or 2.5%, despite the fact that it has been progressively declining over the past few decades.
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