Whether it's fear of finding out they have cancer, or a misconception that a mammogram isn't the right type of screening for their breast type - excuses abound and many of them come from a place of fear or misinformation.
In addition a further 10 genetic variants specifically linked to stubborn breast cancers that do not respond to hormone treatment were found. Scientists say that efforts to uncover genetic mutations for breast cancer in Latino, Asian, African and Middle Eastern background are still underway.
The researchers examined genetic data, including blood samples, from a combined 275,000 women, 146,000 of whom had been diagnosed with breast cancer.
'As well as identifying new genetic variants, we have also confirmed many that we had previously suspected.
Most of the variants found by OncoArray were not found within genes, but rather within regions of the genome that regulate the activity of nearby genes.
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"Breast cancer is the most common type of cancer in women both in the developed and less developed world".
USA co-author Professor Peter Kraft, from the Harvard TH Chan School of Public Health, said the findings revealed a wealth of new information about the genetic mechanisms underlying the disease. "There's been a lot of research trying to figure out what that something else is".
Others, known as oestrogen-receptor negative, are not affected by the hormone and are more hard to treat.
The additions almost double the number of genetic markers known to scientists, providing a trove of data for future studies to investigate in search of better understanding, new detection methods, and potentially more effective treatments.
"By combining the risk polygenic with other known risk factors, such as age at first child, number of children, breast density and lifestyle habits, such as consumption of alcohol, intake of contraceptives or hormone replacement therapy, we are able to identify ten times more women at high risk of breast cancer than what we can do with [the test to identify] the mutations in the genes BRCA1 or BRCA2", said Mr. Simard.
"I had genetic testing and I was negative for all the genetic testing", Moeller said. However, we have developed a mathematical algorithm that incorporates the effect of each of the variations worn by a woman and which calculates from this the probability of her developing breast cancer, " says Simard, who sees in this new tool a way to identify women without a family history of breast cancer or ovarian cancer, but who are at high risk of suffering from such a cancer.