New Paper Alert!! Inclusion bias affects common variant discovery and replication in a health-system linked biobank

In this study, we showed that the clinical and demographic makeup of EHR-linked biobanks, such as the UCLA ATLAS Community Health Initiative, systematically differs from the broader healthcare-seeking population. We examine how these differences influence genetic analyses and show that adjusting for biobank enrollment better recovers known genetic associations and changes polygenic score association patterns. Our findings highlight the importance of accounting for participation and recruitment bias in precision medicine. Read the full paper!