Connecting cohorts of Finnish biobanks creates a research resource for the study of healthy ageing ...

Aims:Connecting cohorts with biobanks is a Finnish biobank collaboration, creating an infrastructure for the study of healthy ageing. We aimed to develop a model for data integration and harmonisation between different biobanks with procedures for joint access.Methods:The heart of the collaboration...

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Bibliographic Details
Main Authors: Eklund, Niina, Pätsi, Salla-Maaria, Lehtiniemi, Heli, Rohkimainen, Samppa, Kivelä, Juha, Öhman, Hanna, Sauramo, Minttu, Sutinen, Kyösti, Keskinarkaus, Anja, Terho, Perttu, Seppänen, Tapio, Nyberg, Pia, Männikkö, Minna, Silander, Kaisa
Format: Article in Journal/Newspaper
Language:unknown
Published: SAGE Journals 2024
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Online Access:https://dx.doi.org/10.25384/sage.c.7107031
https://sage.figshare.com/collections/Connecting_cohorts_of_Finnish_biobanks_creates_a_research_resource_for_the_study_of_healthy_ageing/7107031
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Summary:Aims:Connecting cohorts with biobanks is a Finnish biobank collaboration, creating an infrastructure for the study of healthy ageing. We aimed to develop a model for data integration and harmonisation between different biobanks with procedures for joint access.Methods:The heart of the collaboration is the integrated datasets formed by using data from three biobanks: (a) Arctic Biobank, hosting regional birth cohorts and cohorts of elderly; (b) hospital-affiliated Borealis Biobank of Northern Finland; and (c) THL Biobank, hosting population-based cohorts. The datasets were created by developing a data dictionary, harmonising cohort data and with a joint pseudonymisation process.Results:The connecting cohorts with biobanks resource at its widest consists altogether of almost 1.4 million individuals from collaborating biobanks. Utilising data from 107,000 cohort participants, we created harmonised datasets that contain attributes describing metabolic risk and frailty for studies of healthy ageing. These data ...