Generation Scotland: an update on Scotland's longitudinal family health study.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
21 Jun 2024
Historique:
medline: 23 6 2024
pubmed: 23 6 2024
entrez: 22 6 2024
Statut: epublish

Résumé

Generation Scotland (GS) is a large family-based cohort study established as a longitudinal resource for research into the genetic, lifestyle and environmental determinants of physical and mental health. It comprises extensive genetic, sociodemographic and clinical data from volunteers in Scotland. A total of 24 084 adult participants, including 5501 families, were recruited between 2006 and 2011. Within the cohort, 59% (approximately 14 209) are women, with an average age at recruitment of 49 years. Participants completed a health questionnaire and attended an in-person clinic visit, where detailed baseline data were collected on lifestyle information, cognitive function, personality traits and mental and physical health. Genotype array data are available for 20 026 (83%) participants, and blood-based DNA methylation (DNAm) data for 18 869 (78%) participants. Linkage to routine National Health Service datasets has been possible for 93% (n=22 402) of the cohort, creating a longitudinal resource that includes primary care, hospital attendance, prescription and mortality records. Multimodal brain imaging is available in 1069 individuals. GS has been widely used by researchers across the world to study the genetic and environmental basis of common complex diseases. Over 350 peer-reviewed papers have been published using GS data, contributing to research areas such as ageing, cancer, cardiovascular disease and mental health. Recontact studies have built on the GS cohort to collect additional prospective data to study chronic pain, major depressive disorder and COVID-19. To create a larger, richer, longitudinal resource, 'Next Generation Scotland' launched in May 2022 to expand the existing cohort by a target of 20 000 additional volunteers, now including anyone aged 12+ years. New participants complete online consent and questionnaires and provide postal saliva samples, from which genotype and salivary DNAm array data will be generated. The latest cohort information and how to access data can be found on the GS website (www.generationscotland.org).

Identifiants

pubmed: 38908846
pii: bmjopen-2024-084719
doi: 10.1136/bmjopen-2024-084719
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e084719

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: REM is a scientific advisor to Optima Partners and the Epigenetic Clock Development Foundation. DM is a part-time employee of Optima Partners.

Auteurs

Hannah Milbourn (H)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Centre for Medical Informatics, Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.

Daniel McCartney (D)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Anne Richmond (A)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Archie Campbell (A)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Robin Flaig (R)

Centre for Medical Informatics, Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.

Sarah Robertson (S)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Centre for Medical Informatics, Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.

Chloe Fawns-Ritchie (C)

Division of Psychology, School of Humanities, Social Sciences and Law, University of Dundee, Dundee, UK.
Department of Psychology, The University of Edinburgh, Edinburgh, UK.

Caroline Hayward (C)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Riccardo E Marioni (RE)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Andrew M McIntosh (AM)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Division of Psychiatry, The University of Edinburgh, Edinburgh, UK.

David J Porteous (DJ)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.

Heather C Whalley (HC)

Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK heather.whalley@ed.ac.uk.
Division of Psychiatry, The University of Edinburgh, Edinburgh, UK.
Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.

Cathie Sudlow (C)

Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.

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Classifications MeSH