By comparing breast cancer tissue with healthy breast tissue, Cleveland Clinic researchers found there was an imbalance of bacteria.
"However, we do not always find the mutation in the genes BRCA1 and BRCA2 among many of these women and their habits of life do not seem to be problematic".
Researchers from Quebec city are now hoping to obtain the necessary financing to assess the feasibility and acceptability of this new method of assessing the risk of breast cancer.
According to Harvard's online health portal, while there is no one big way to reduce the risk of breast cancer, a combination of approaches can make a significant difference. We are thrilled to run the same campaign again in 2017 - purchasing a new or used vehicle from any Brown's store during the entire month of October will help Brown's donate a portion of the proceeds to Susan G. Komen affiliates and the Virginia Breast Cancer Foundation.
"This ultimately could benefit all women - in those with a strong family history and those without", an Australian researcher involved with the study, Professor Georgia Chenevix-Trench, told The New Daily.
Among breast cancer sufferers, those who rely on herbs, homeopathy or energy crystals to beat their disease are 5.68 times more at risk of an early death, a study found.
Dr Pallave Dasari, an Australian breast cancer research fellow at University of Adelaide, said that while she believed this was a "really valuable" progression in understanding family history risk, a test was "extremely premature" at this stage.
Other genetic variants linked to breast cancer are much less potent on their own, but their effects add up.
The combined effect of these variants is likely to be "considerable" said the researchers.
Professor Chenevix-Trench said a greater understanding of a particular woman's risk of developing breast cancer could help to change the age at which she was offered mammogram screening.
"Some of the variations are protective, others increase the risk".
'These gene changes now have the potential to be incorporated into existing models to more accurately predict an individual's risk, and to improve both prevention and early detection of the disease. The studies identified genetic regions specifically associated with either oestrogen-receptor positive or oestrogen receptor negative breast cancer, underscoring the fact that these are biologically distinct cancers that develop differently.