Researcher perspectives on ethics considerations in epigenetics: an international survey.
Charles DuprasTerese KnoppersNicole PalmourElisabeth BeauchampStamatina LiosiReiner SiebertAlison May BernerStephan BeckIan CharestYann JolyPublished in: Clinical epigenetics (2022)
Over the past decade, bioethicists, legal scholars and social scientists have started to investigate the potential implications of epigenetic research and technologies on medicine and society. There is growing literature discussing the most promising opportunities, as well as arising ethical, legal and social issues (ELSI). This paper explores the views of epigenetic researchers about some of these discussions. From January to March 2020, we conducted an online survey of 189 epigenetic researchers working in 31 countries. We questioned them about the scope of their field, opportunities in different areas of specialization, and ELSI in the conduct of research and knowledge translation. We also assessed their level of concern regarding four emerging non-medical applications of epigenetic testing-i.e., in life insurance, forensics, immigration and direct-to-consumer testing. Although there was strong agreement on DNA methylation, histone modifications, 3D structure of chromatin and nucleosomes being integral elements of the field, there was considerable disagreement on transcription factors, RNA interference, RNA splicing and prions. The most prevalent ELSI experienced or witnessed by respondents were in obtaining timely access to epigenetic data in existing databases, and in the communication of epigenetic findings by the media. They expressed high levels of concern regarding non-medical applications of epigenetics, echoing cautionary appraisals in the social sciences and humanities literature.
Keyphrases
- dna methylation
- gene expression
- genome wide
- healthcare
- systematic review
- transcription factor
- mental health
- big data
- public health
- cross sectional
- risk assessment
- copy number
- machine learning
- affordable care act
- climate change
- deep learning
- data analysis
- health insurance
- artificial intelligence
- rare case
- advance care planning