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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJPDS</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Population Data Science</journal-title>
        <abbrev-journal-title>IJPDS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2399-4908</issn>
      <publisher>
        <publisher-name>Swansea University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.23889/ijpds.v10i3.3203</article-id>
      <article-id pub-id-type="publisher-id">10:3:169</article-id>
      <title-group>
        <article-title>Generation Scotland – Linking all the records we can</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Campbell</surname>
            <given-names initials="A">Archie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Buchanan</surname>
            <given-names initials="D">David</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Milbourn</surname>
            <given-names initials="H">Hannah</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Whalley</surname>
            <given-names initials="H">Heather</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Sudlow</surname>
            <given-names initials="C">Cathie</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>University of Edinburgh, Edinburgh, United
        Kingdom</institution></aff>
      <pub-date>
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3203</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3203">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3203</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>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+.</p>
    </sec>
    <sec>
      <title>Method</title>
      <p>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.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Genotyping 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.</p>
      <p>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.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>We 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.</p>
    </sec>
  </body>
</article>