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FIMM – Building a Bridge from Discovery to Medicine  Finnish Twin Studies

                                                     The twin study project at the University of Hel-
                                                     sinki began in 1974 with the Older Finnish Twin
                                                     Cohort study to investigate genetic and envi-
                                                     ronmental determinants of common, complex
                                                     diseases and behavioural risk factors. Later, two
                                                     younger birth cohorts, Finntwin16 (twins born
                                                     1975-79) and Finntwin12 (born 1983–1987) studies
                                                     were initiated. These longitudinal follow-up
                                                     studies have continued to this day, with four to
                                                     five waves of data collection. Within these co-
                                                     horts, smaller studies with clinical, imaging and
                                                     ‘omics data collection have been conducted. A
                                                     new resource, TwinRegistry, was established re-
                                                     cently by linking data from the older twin cohort
                                                     with data collected in 1975, 1981, 1990 and 2011
                                                     to multiple national health and social welfare
                                                     registers. The linkages cover not only twins, but
                                                     also their close relatives with a total sample size
                                                     of several million. The broad behavioural data
                                                     spanning almost four decades from the 1960s to
                                                     today makes this a unique resource.

                                                     FinRegistry

                                                     The FinRegistry project leverages nationwide
                                                     health and socio-demographic registry data
                                                     to explore comprehensive risk trajectories and
                                                     uses this information to develop statistical and
                                                     machine learning models to predict disease oc-
                                                     currences from registry data. The project aims
                                                     to develop new ways to model the complex
                                                     relationships between health and risk factors.
                                                     FinRegistry utilises the unique registry system
                                                     in Finland to combine health data with a wide
                                                     range of other information from nearly the
                                                     whole Finnish population. The complex relation-
                                                     ship between health outcomes, medications, so-
                                                     cio-demographic information, and familial risk
                                                     will provide new epidemiological and biological
                                                     hypotheses that can be addressed with targeted
                                                     studies.​FinRegistry includes all individuals
                                                     alive and living in Finland on 1st of January 2010
                                                     as well as the index persons’ parents, siblings,
                                                     children, and spouses. FinRegistry is a joint re-
                                                     search project of the Finnish Institute of Health
                                                     and Welfare (THL) and Andrea Ganna’s research
                                                     group at FIMM.

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