Predictive genetic testing is expanding rapidly across healthcare, but legal protections have not kept pace. Federal anti-discrimination laws written in the 1990s may leave gaps that expose people to employment bias based on their DNA.
The Genetic Information Nondiscrimination Act, passed in 2008, prohibits health insurers and employers from using genetic information to deny coverage or employment. Yet legal experts worry the law's language was written before modern genomic science emerged. Today's genetic scores predict disease risk with greater accuracy than ever before, but the statute predates these technologies.
The tension centers on what counts as "genetic information" under existing law. The GINA definition was narrow when drafted. It focused on tests for specific mutations tied to diseases like cystic fibrosis or Huntington's. Modern polygenic risk scores operate differently. They analyze hundreds of thousands of genetic variants to estimate probability of developing common conditions like heart disease, diabetes, or Alzheimer's. Courts have not yet clarified whether GINA protects people evaluated through these newer approaches.
Employment discrimination presents the immediate risk. An employer who obtains a genetic score showing high disease risk could theoretically use that information to avoid hiring someone or to justify lower wages based on projected healthcare costs or productivity losses. Insurance companies face similar incentives, despite GINA's protections. Long-term care insurance and disability insurance fall outside GINA's scope entirely.
Legal scholars including those at Harvard Law School and Yale Law School have raised alarms about these gaps. They argue Congress needs to update anti-discrimination language to explicitly cover polygenic risk scores and other emerging predictive tools. Some propose expanding GINA. Others suggest new legislation tailored to modern genetics.
The problem grows more urgent as genetic testing becomes routine. Companies like 23andMe and others have made consumer genetic testing commonplace. Healthcare systems increasingly incorporate polygenic risk scores into clinical