Implementation considerations for offering personal genomic risk information to the public: a qualitative study
Amelia K Smit1,2,3, Gillian Reyes-Marcelino4, Louise Keogh5
1Faculty of Medicine and Health, Sydney School of Public Health, Cancer Epidemiology and Prevention Research, The University of Sydney, Sydney, Australia. amelia.smit@sydney.edu.au.
BMC Public Health
|July 1, 2020
Summary
Personal genomic risk information for complex diseases like cancer is acceptable to the public. Key factors for uptake include family history, disease incidence, prevention potential, and tailored delivery by trained health professionals.
Area of Science:
- Genomics
- Personalized Medicine
- Public Health
Background:
- Genomic risk information, derived from common variants, aids in personalized prevention and screening for complex diseases like cancer.
- Engaging the public, as key stakeholders, is crucial for developing effective genomic risk information programs and assessing their acceptability.
Purpose of the Study:
- To explore public views on offering general personal genomic risk information.
- To inform program development and implementation outcomes, including acceptability and appropriateness of genomic risk information.
Main Methods:
- Semi-structured interviews were conducted with 30 participants who received personalized genomic risk information for melanoma.
- Thematic analysis was used to analyze participant views on offering genomic risk information to the broader population.
Main Results:
- Participant acceptance of genomic risk information was influenced by family history, disease incidence, and prevention opportunities.
- Participants preferred personalized delivery of risk information, triaged by risk level and supported by genomics-trained health professionals.
Conclusions:
- Offering personal genomic risk information for complex conditions like cancer is acceptable to the general population for prevention and early detection.
- Understanding public preferences is vital for effective communication strategies and health workforce planning for genomic risk implementation.
- Findings will aid in developing strategies for integrating genomic risk information into routine clinical practice.
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