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Updated: Jul 4, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
De-identified genomic data sharing: the research participant perspective.
Deborah Goodman1, Catherine O Johnson2, Deborah Bowen3
1Department of Epidemiology, University of California, Irvine Hall, Irvine, CA, 92697, USA. goodmand@uci.ed.
Most participants in genetic studies using de-identified data prioritize data sharing for research and potential health information return. They trust researchers to protect privacy, though a minority prefer no link to their data.
Area of Science:
- Genomic research
- Bioinformatics
- Participant recruitment
Background:
- Large-scale research initiatives like the Precision Medicine Initiative and Cancer Moonshot rely on combined datasets.
- Participant anonymity is often maintained by removing personal identifiers from research data.
- Understanding participant perspectives on de-identified data use is crucial for future genomic research endeavors.
Purpose of the Study:
- To examine participant preferences regarding the use of de-identified data in large genetic research datasets.
- To evaluate how demographics and cancer history influence these preferences.
- To assess participant views on maintaining a link between individuals and their de-identified genetic data.
Main Methods:
- A quantitative study was conducted in the USA.
- Participants were recruited from the Northwest Cancer Genetics Registry, including cancer patients, relatives, and controls.
- A secure online survey was administered to 450 participants.
Main Results:
- The majority of participants were not concerned about personal identification with de-identified genetic data but emphasized the need for privacy protection.
- Most participants desired their data to be available for numerous research studies to potentially receive personal health information.
- Approximately 20% of participants preferred that a link between them and their de-identified data not be maintained.
Conclusions:
- Participant trust in researchers' ability to protect privacy is paramount when using de-identified genetic data.
- Facilitating broad data sharing while respecting privacy concerns is key to successful recruitment in genomic research.
- The debate on maintaining links to de-identified data involves balancing research support and individual health result return.
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