The Ethical, Legal, and Social Implications of Genomics and Disability: Findings from a Scoping Review and Their Human Rights Implications
First published online 28 September 2023.
Why this study was done
Advances in genetics (genomics) are changing how we understand and diagnose disability. However, these developments also raise important ethical, legal, and social questions. This study aimed to explore these issues and how they relate to the rights of people with disabilities.
What the study did
Researchers reviewed a large number of existing studies (288 sources) about genomics and disability. They analysed these studies to identify common themes and linked them to human rights principles, particularly the United Nations Convention on the Rights of Persons with Disabilities (UNCRPD).
What the study found
The study identified 10 key issues, including:
- Concerns about genetic discrimination
- The risk of stigma and devaluing people with disabilities
- Ethical concerns about reproductive choices
- Unequal access and cost barriers to genetic technologies
- Laws and policies not keeping up with rapid scientific advances
- The importance of including people with disabilities in decision-making
These issues are closely linked to human rights such as equality, inclusion, and participation.
What this means
This research shows that while genomic technologies have benefits, they also carry risks for people with disabilities if not managed carefully. It highlights the need for:
- Stronger ethical and legal protections
- A human rights–based approach to genomics
- Greater inclusion of people with disabilities in discussions and decisions
The authors suggest developing clearer guidelines or a human rights framework to ensure these technologies are used fairly and responsibly.
This study was conducted by: Maria Vassos, Rhonda Faragher, Professor Karen Nankervis, Ms. Radostina Breedt, Professor Fran Boyle and Ms. Jo Kelly.
To read the full article, visit the journal.
For other accessible formats, please see the column to the right.
Disclaimer: The QDRN has utilised generative AI to refine the wording of this plain language summary. All content has been checked for accuracy, appropriate tone, and clarity and approved by the author.
