Hidden Risk
Examining the link between breast density and cancer
There are many variations to women’s breasts, but the important differences are more than meets the eye. One of them — high breast density — is a major risk factor for breast cancer.
Some women’s breasts contain a lot of fatty tissue. Others have more dense glandular tissue that changes in response to hormones associated with menstruation, pregnancy and menopause. Women with dense tissue in more than 75 percent of the breast have a risk of breast cancer that is four- to six-times higher than women with mostly fatty breast tissue.
Breast density is the third-strongest known risk factor for breast cancer, after age and mutations in the BRCA1 or BRCA2 genes, but no one knows why.
Julie Douglas, Ph.D., an associate professor of human genetics, hopes to find out with help from 1,500 Old Order Amish women in Lancaster County, Pennsylvania. She is the principal investigator on a five-year, $3 million NIH-funded study to identify genes that affect breast density. Doing so is the first step to understanding the link between breast density and cancer, which Douglas says could account for about one-third of all cases of the disease.
“One of the advantages of studying the Amish is that they have unique cultural and reproductive behaviors that reduce the effect of non-genetic factors such as delayed childbearing, use of contraceptives and hormone therapy,” Douglas says.
The most common and inexpensive way to measure breast density is with a mammogram. Fatty tissue appears dark on a mammographic image, while dense tissue and tumors show up as white. It’s harder to spot tumors against a white background, which is why radiologists are interested in the amount of density in the image.
Douglas says the study wouldn’t be possible without the expertise of U-M collaborators Heang-Ping Chan, Ph.D., professor of radiology, and Mark Helvie, M.D. (Residency 1986), professor of radiology and director of the breast imaging program. The pair and their colleagues developed a computer-assisted method that classifies each pixel in a mammographic image as black or white, then calculates breast density by finding the ratio between the number of white pixels and total pixels in the image. “It gives us a reproducible quantitative measurement,” Douglas says.
To analyze the complex set of factors related to breast density, Douglas collects massive amounts of data about the Amish women enrolled in the study. A Lancaster radiologist takes screening mammograms for each woman and sends thems to the U-M to be digitized and scored for density. DNA is extracted from blood samples. Blood tests measure individual levels of hormones and other factors. Characteristics like height, weight, body mass index and number of live births are captured and recorded in a database.
Since all the women in the study are descendants of original Lancaster County settlers, Douglas has been able to connect them in one 13-generation pedigree.
“We have hundreds of pairs of sisters, thousands of pairs of first cousins and tens of thousands of more distantly related cousins,” Douglas says. “Having all these pair-wise relationships will allow us to compare genomes of related women with similar breast density scores and identify genes in common.”
—SALLY POBOJEWSKI
Learn more about Douglas and her research

