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These studies are about:
Identifying new DNA variants associated with increased risk of breast cancer.
Why are these studies important?
Mutations are changes in the DNA of genes that cause the gene to stop working normally. Inherited mutations in certain genes (e.g. BRCA1, BRCA2, CHEK2, PALB2 and others) greatly increase the risk for cancer, and can cause cancer to run in families. These mutations explain only a fraction of all inherited breast cancers.
In contrast, these two reports are about a different type of DNA change known as a single nucleotide polymorphism (or SNP). A SNP is a common variation in a single base-pair of DNA. There are roughly 10 million SNPs in the human genome. Most commonly, SNPs are found in the portion of DNA between genes. Scientists do not completely understand how SNPs affect gene function. Scientists believe that these gene variations can have small effects on the risk for some diseases such as cancer.
One study identified 65 SNPs that are associated with overall breast cancer risk. The second study identified 10 SNPs associated with increased risk, specifically of estrogen receptor negative (ER-negative) breast cancer. Between the two studies, a total of 72 SNPs were identified.
What does this mean for me?
Dr. Elizabeth Swisher, Professor, Department of Ob/Gyn, and Director, Division of Gynecologic Oncology at the University of Washington, and member of FORCE’s Scientific Advisory Board cautioned, “At the present time, these studies do not lead to any changes in recommendations for screening or prevention of breast cancer in women with or without BRCA or other inherited breast cancer predisposing mutations.”
It is important to note that although these new SNPs are associated with increased breast cancer risk, they do not directly cause the disease like mutations in known breast cancer genes such as BRCA1, BRCA2, PALB2, ATM, CHEK2 and others. Instead, these SNPs are "tagging along" with some other factor that may be increasing breast cancer risk. They are like the edge pieces of a puzzle, but other pieces are still missing. Additional research is need to find the remaining pieces of the genetic puzzle. Only then can they connect them to other information or analyze them in new ways. With a better understanding of how these SNPs contribute to breast cancer risk, experts may use that information to more accurately predict a person’s risk.
Dr. Otis Brawley, chief medical officer of the American Cancer Society, who was not involved in the research but interviewed by CNN, described the new research as "not earth-shattering." It is "most important for us nerds," he said, but less so for the general public.
An expert in cancer genetics, such as a genetic counselor, can help you understand your personal breast cancer risk.
This article is relevant for:
People with a family history of breast cancer but no known inherited mutation
This article is also relevant for:
Women under 45
Women over 45
Healthy people with average cancer risk
Be part of XRAY:
- What is my risk for breast cancer?
- Should I speak with a genetic counselor?
- Is my cancer due to an inherited genetic mutation?
- Do these studies change how I should be screened?
- NCT03688204: Clinical Implementation of a Polygenic Risk Score (PRS) for Breast Cancer. This study is assessing how a polygenic risk score (PRS) reported with the results of multi-gene panel testing affects the breast cancer risk management recommendations healthcare providers make to their patients.
Who covered this study?
Breast cancer genetics revealed: 72 new mutations discovered in global study This article rates 3.0 out of 5 stars
An unprecedented study has revealed 72 new breast cancer gene variants This article rates 3.0 out of 5 stars
72 major genetic risk factors for breast cancer identified in new study This article rates 2.0 out of 5 stars
IN-DEPTH REVIEW OF RESEARCH
Scientists sometimes try to identify common DNA variations called single nucleotide polymorphisms (SNPs) in the human genome that maybe associated with a particular disease. These genome-wide association studies (GWAS) are conducted in two groups: people with the disease being studied (e.g. breast cancer) and similar people without the disease. DNA from participants in each group is scanned on automated laboratory machines and the DNA from the two groups are compared for differences. If certain SNPs are found to be significantly more frequent in people with the disease compared to people without the disease, the SNPs are said to be "associated" with the disease. Newly identified SNPs can serve as pointers to a region of the human genome where disease-causing problems in the DNA may reside.
Much of our DNA does not actually get transcribed into proteins. Because these GWAS studies look at SNPs scattered throughout the human genome– most outside of the actual portion of the DNA that codes for proteins – the SNPS identified through GWAS studies rarely provide clear answers about how they contribute to disease development. Although GWAS studies have provided clues for several different diseases, they do not always lead to changes in how patients are managed.
Two recent GWAS studies, “Association analysis identifies 65 new breast cancer risk loci” published in Nature and “Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer” published in Nature Genetics, together identified 72 SNPs in the human genome that are associated with breast cancer risk.
Researchers of this study wanted to know:
If they could identify common genetic changes that influence breast cancer risk.
Population(s) looked at in the study:
The study published in Nature compared genome SNP data from more than 100,000 breast cancer patients and a similar number of cancer-free controls.
The study published in Nature Genetics compared genome SNP data from 21,468 patients with ER-negative breast cancer and 100,594 controls, as well as 18,908 BRCA1 mutation carriers. (BRCA1 mutation carriers are more likely to develop estrogen receptor-negative disease).
The Nature report identified 65 new genetic SNPs associated with increased breast cancer risk, while the Nature Genetics report identified 10 new SNPs (3 of which overlapped with the 65) associated with increased risk of ER-negative disease. These 72 new DNA SNPs were most commonly located in non-coding regions of the genome which are outside of or away from coding regions which contain genes. Many of these SNPs likely regulate (turn on or off) genes, although how they do this is currently unknown.
The amount of increased risk caused by each individual SNP is uncertain. However, because they are common and their impacts multiply together, the collective effect may be considerable. For instance, the researchers predicted that the breast cancer risk among women who carry many of these SNPs—1% of women studied—is more than 3 times greater than the rest of the population.
These studies were conducted with women who were primarily of European ancestry and it is likely that SNPs associated with breast cancer that are common in non-European populations were missed. To find these, similar studies in Africans, African Americans, Latinas, Chinese and other populations are ongoing.
It is possible that patterns in the inheritance of these SNPs may help us to understand why some women are predisposed to breast cancer. Researchers hope that identifying these SNPs may lead to a better understanding of specific genes and mechanisms that are involved in the development of breast cancer. The biggest problem in taking advantage of GWAS information is our limited understanding of why and how these common variations in the human genome might increase breast cancer risk. These changes in DNA sequence are not mutations found in coding regions of genes. It will take time and effort to understand exactly how they contribute to disease risk as well as the best way to manage these increased risks.
At the time of this review, this research does not change expert recommendations for risk assessment and risk management for breast cancer. Researchers will now work toward using these SNPs and other factors to better predict breast cancer risk. With additional research, it may be possible to use the SNPs identified in these studies to categorize more women into groups based on their breast cancer risk. If successful, these could be incorporated into tests that would allow women with increased risks to receive screening and prevention that is tailored to their personal risk.
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