Disability pension data linkage has led to publications on risk factors, genetic and environmental, for becoming incapacitated to work. These include an estimate of the genetic contribution to disability pension risk, which was larger in younger age-groups (Harkonmäki et al, 2008). In addition, the disability pension data has been the outcome for many analyses linking our early questionnaire data to the long-term risk of reduced work capacity. The analyses have been epidemiological, utilizing the large sample size and long follow-up period, as well as using the discordant pair design to test causality of the epidemiological association (Ropponen et al, 2012). Vital status and cause-of-death are regularly updated. Genome-wide genetic variation data using the Illumina 670k array is available for over 1500 cohort members, mainly from the Nicotine Addiction Genetics subsample of heavy smokers (Broms et al, 2012). Other currently active subsample studies of interest include the Finnish Twin Study of Ageing (FITSA, https://www.jyu.fi/sport/laitokset/tutkimusyksikot/sgt/en/Research/fitsa) of elderly female twins. The TwinSpine study has assessed disc degeneration and back disorders among 600 male twins using MRI assessments across three waves in the past
