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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
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Precise, Genotype-First Breast Cancer Prevention: Experience With Transferring Monogenic Findings From a Population
Hannes Jürgens1,2, Laura Roht3,4, Liis Leitsalu5
1Tartu University Hospital, Clinic of Hematology and Oncology, Tartu, Estonia.
Frontiers in Genetics
|August 8, 2022
Summary
Genetic predisposition for breast cancer is common in the Estonian population, with many at-risk individuals not meeting current screening criteria. Personalized prevention based on genetic risk is valuable and feasible for clinical integration.
Area of Science:
- Genomics
- Oncology
- Preventive Medicine
Background:
- Hereditary breast cancer screening identifies only a fraction of genetic predispositions.
- Current clinical screening criteria exclude many individuals with genetic risk.
- Population biobanks offer a resource for identifying genetic predispositions.
Purpose of the Study:
- To assess the prevalence of genetic predisposition for breast cancer in the Estonian population.
- To evaluate the clinical utility of personalized prevention based on genetic risk.
- To explore the integration of genetic risk information into routine medical practice.
Main Methods:
- A national pilot study involving 180 female participants from the Estonian biobank.
- Re-contacting participants to discuss personalized clinical prevention based on 11 breast cancer-related genes.
- Analyzing genetic risk variants and their association with early-onset breast cancer.
Main Results:
- Genetic risk variants for breast cancer are common in the average-risk Estonian population.
- 75% of breast cancer cases in at-risk subjects occurred before age 50.
- Only one-third of participants met current clinical screening eligibility criteria.
- Participants found receiving genetic risk information valuable.
Conclusions:
- Genotype-first breast cancer studies utilizing biobank data are effective for precise prevention.
- Personalized prevention strategies based on genetic predisposition are well-accepted and feasible.
- Efficient integration of research findings into clinical practice is achievable through robust data management and collaboration.
Keywords:
clinical practice personalized medicinegenotype-first approachprecision screeningresearch findings/results in healthcarereturn of results to biobank participantsMore Related Videos
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