New Tool More Precisely Predicts Breast Cancer Risk

Researchers in the United Kingdom developed an online tool that can more accurately predict breast cancer risk.

Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) risk model incorporates the effects of truncating variants in BRCA1, BRCA2, PALB2, CHEK2, and ATM; a polygenic risk scores based on 313 single-nucleotide polymorphisms (SNPs) explaining 20% of BC polygenic variance; a residual polygenic component accounting for other genetic/familial effects; known lifestyle/hormonal/reproductive risk factors; and mammographic density. The researchers said combining all of these factors into one tool can better help physicians predict breast cancer risk.

“The highest BC risk stratification is achieved when all genetic and lifestyle/hormonal/reproductive/anthropomorphic factors are considered jointly,” the researchers noted. With these factors, the predicted lifetime risks for women in the U.K. population vary from 2.8% for the first percentile to 30.6% for the 99th percentile, with 14.7% of women predicted to have a lifetime risk of ≥17% to <30% and 1.1% a lifetime risk of ≥30%.

Breast cancer risk remains decades after giving birth.

Weight loss may lower breast cancer risk in older women.

Source: Genetics in Medicine