Genetic Technologies Announces Clinical Validation Study Supporting the Use of BREVAGenplus in Breast Cancer Risk Assessment

Molecular diagnostics company Genetic Technologies Limited

announces that findings from a new research study show that adding a panel of 77 single-nucleotide polymorphisms ("SNPs") improves the predictive accuracy of four commonly used breast cancer risk assessment models. This same panel of 77 SNPs is used in the Company's recently released BREVAGenplus®, an easy-to-use predictive risk test for sporadic, or non-hereditary, breast cancer. Results were presented at the 2014 San Antonio Breast Cancer Symposium, on December 13, 2014. The study, entitled "Value of Adding Single-Nucleotide Polymorphism Panel Markers to Phenotypic Algorithms of Breast Cancer Risk," was conducted under the supervision of Prof. John L. Hopper and first authored by Dr. Gillian S. Dite from the Centre for Molecular Epidemiology at the University of Melbourne. The study investigated the impact of adding the same 77 SNP panel used in BREVAGenplus® to the following breast cancer prediction models: BOADICEA and BRCAPRO, both of which are based on pedigree data for breast and ovarian cancer; BCRAT (Gail score), which is based on established risk factors for breast cancer and family history as represented by the number of first-degree relatives with breast cancer; and IBIS, which combines information on both familial and personal risk factors for breast cancer. Results show that adding a SNP risk score to these four breast cancer prediction models can improve risk estimates obtained by these models. Because these models place different weighting on different risk components, this new study also shows that combining the 77 SNP score with the most patient-appropriate breast cancer risk-assessment model can improve a clinician's ability to identify high-risk women in different patient populations.