Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)

Limited overlap between genetic effects on disease susceptibility and disease survival

“…We considered ten common diseases that substantially increase mortality risk in the general population and have a large public-health impact ( Table 1 ). We confirmed disease association with mortality using nation-wide Finnish data and observed a hazard ratio (HR) for 20-years mortality ranging from 1.31 for Type 2 diabetes to 3.61 for chronic kidney disease in females (Viippola et al, 2023) ( Table S2 ). We identified diseased individuals based on consistent disease definitions captured via electronic health records or registry data across seven longitudinal studies: FinnGen (Kurki et al, 2023), UK biobank (Bycroft et al, 2018), Estonia biobank (Leitsalu et al, 2015), Generation Scotland (Smith et al, 2013), Genomics England (Turnbull, 2018), Genes & Health (Finer et al, 2020), Dana-Farber Cancer Institute (Gusev et al, 2021) and BioMe.…”

Socio-demographic and genetic risk factors for drug adherence and persistence: a retrospective nationwide and biobank study across 5 medication classes and 1 845 665 individuals

“…The FinRegistry dataset 20 contains data from Finnish nationwide health, demographic, and socioeconomic registries, for a total of 7 166 416 individuals. To ensure completeness of information for the variables considered in the epidemiological analysis, we included only individuals who were residents in Finland and alive on 1 January 2010 (5 339 804 individuals in total).…”

“…We first explored the role of multiple health, demographics, and socioeconomic factors in FinRegistry 20 , a nationwide cohort study. Next, we considered the role of genetics in a subset of the Finnish population from the FinnGen study 21 and the Estonian Biobank 22 , where genome-wide genotype information is available.…”