How Health Insurers Are Using Genetic Testing Data

Episode 41 of Services Economy digs into a quietly expanding frontier in health insurance: genetic testing data. Lucas and Luna explore how insurers are using results from direct-to-consumer DNA tests like 23andMe and AncestryDNA to assess risk, adjust premiums, and even influence coverage decisions. They walk through a specific case study: a healthy 34-year-old who disclosed a BRCA1 variant on a life insurance application and saw her rates triple. The conversation then moves to the regulatory gap—the Genetic Information Nondiscrimination Act (GINA) protects against discrimination in health insurance but not in life, disability, or long-term care coverage. They discuss how insurers are now partnering with genetic testing companies to offer discounted tests in exchange for data access, the actuarial logic behind using polygenic risk scores, and the ethical boundaries of predictive medicine. This episode is a pointed look at how the service sector's hunger for data is colliding with personal genomics, and what it means for consumers who spit into a tube without reading the fine print. #HealthInsurance #GeneticTesting #23andMe #AncestryDNA #GINA #BRCA1 #PolygenicRiskScores #InsuranceData #RiskAdjustment #Underwriting #DirectToConsumerGenetics #GeneticPrivacy #ActuarialScience #PredictiveMedicine #DataBrokerage #ServiceSector #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo