Generation Scotland – Linking all the records we can

Objectives We started a family-based genetic epidemiology study in 2006-11 which recruited 24,000 adult volunteers from 7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-25 we are recruiting another 20,000, with consent extended to administrative records, and age range now 12+. Methods Original volunteers completed demographic, health and lifestyle questionnaires, provided biological samples, and underwent detailed clinical assessment. The samples, phenotype and genotype data form a resource for research on the genetics of conditions of public health importance. This has become a longitudinal dataset by linkage to routine NHS records: hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data, Covid-19 testing and vaccinations, as well as follow-up questionnaires. The new wave of recruitment is all online and can be done on a smartphone, with DNA from saliva collected by post. Teenagers aged 12-15 can join with parental consent. ResultsGenotyping has been done on quantitative traits and biomarkers, with DNA methylation data and proteomics available for most of the cohort. Our “CovidLife” surveys collected data on effects of the pandemic. Researchers can find prevalent and incident disease cases and controls to test research hypotheses on a stratified population. They can also do targeted recruitment of participants to new studies, including recall by genotype. We have established and validated E-HR linkage with the NHS Scotland CHI Register, overcoming technical and governance issues in the process. We contribute to major international consortia, with collaborators from institutions worldwide, both academic and commercial. Recruits also give consent to linkage to other administrative data, and reuse of samples from routine NHS tests for medical research. ConclusionWe plan to extend the linkage process to include other administrative data from national datasets as and when approvals are obtained. New types of data can also be collected by online questionnaires. The Research Tissue Bank resources are available to academic and commercial researchers through a managed access process.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3203
Primary Topic
Research in Social Sciences
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generation Scotland – Linking all the records we can

David L. Buchanan, A.M. Campbell, Hannah Milbourn, Cathie Sudlow et al.
International Journal for Population Data Science
Research in Social Sciences
article

Generation Scotland – Linking all the records we can

David L. Buchanan, A.M. Campbell, Hannah Milbourn, Cathie Sudlow, Heather C. Whalley
article en

Abstract

Objectives We started a family-based genetic epidemiology study in 2006-11 which recruited 24,000 adult volunteers from 7000 families across Scotland with consent for follow-up through medical record linkage and re-contact. In 2022-25 we are recruiting another 20,000, with consent extended to administrative records, and age range now 12+. Methods Original volunteers completed demographic, health and lifestyle questionnaires, provided biological samples, and underwent detailed clinical assessment. The samples, phenotype and genotype data form a resource for research on the genetics of conditions of public health importance. This has become a longitudinal dataset by linkage to routine NHS records: hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data, Covid-19 testing and vaccinations, as well as follow-up questionnaires. The new wave of recruitment is all online and can be done on a smartphone, with DNA from saliva collected by post. Teenagers aged 12-15 can join with parental consent. ResultsGenotyping has been done on quantitative traits and biomarkers, with DNA methylation data and proteomics available for most of the cohort. Our “CovidLife” surveys collected data on effects of the pandemic. Researchers can find prevalent and incident disease cases and controls to test research hypotheses on a stratified population. They can also do targeted recruitment of participants to new studies, including recall by genotype. We have established and validated E-HR linkage with the NHS Scotland CHI Register, overcoming technical and governance issues in the process. We contribute to major international consortia, with collaborators from institutions worldwide, both academic and commercial. Recruits also give consent to linkage to other administrative data, and reuse of samples from routine NHS tests for medical research. ConclusionWe plan to extend the linkage process to include other administrative data from national datasets as and when approvals are obtained. New types of data can also be collected by online questionnaires. The Research Tissue Bank resources are available to academic and commercial researchers through a managed access process.

International Journal for Population Data ScienceVol. 10(4)
University of Edinburgh (GB)
Openalex Percentile: Top 75%
Research in Social Sciences
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.