The team found the accuracy of an individual’s assessment of risk for breast cancer can be increased by combining:
- their family history
- results of a blood test looking at changes in genes (SNP
)
- mammography showing how dense the breast tissue is
This study was open for women to join between 2010 and 2012.
These results were reported in 2016.
About this study
The team were able to look at the family history and assessment of risk for breast cancer in more than 10,000 women who went to the Family History Clinic in Manchester.
The team compared the family history models that were used to assess and predict the women’s risk of breast cancer.
They then looked at adding the SNPs and the density of the breast tissue to see if it improved the assessment.
Results
When the team compared the family history models they found that all of the models were very good at giving the women a risk category. But weren’t very good at giving an individual assessment of their risk.
When they added the gene changes (SNPs) they found that some did improve the assessment of risk, in particular SNP18. They found it was most useful in assessing the risk of breast cancer for women who didn’t have the
BRCA1 
gene change or
BRCA2 
gene change.
They also found that looking at the SNPs didn’t add any information for women who had the BRCA1 gene change (
mutation 
).
The team found that when they included information about the density of breast tissue along with the family history it helped them to predict the risk of breast cancer. And it identified significantly more women whose breast cancer was a late stage (
stage 3 or stage 4) who had an above average risk of breast cancer.
Conclusion
The team concluded that the assessment of risk for breast cancer might be improved by adding the gene changes (SNPs) and breast tissue density to the family history models.
Where this information comes from
We have based this summary on information from the research team. The information they sent us has been reviewed by independent specialists (
peer reviewed 
) but may not have been published in a medical journal. The figures we quote above were provided by the research team. We have not analysed the data ourselves.