Evidence map›Paper›PMID 38908846›Full record

ArticleBMJ open2024

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

Hannah Milbourn, Daniel McCartney, Anne Richmond, Archie Campbell, Robin Flaig, Sarah Robertson, Chloe Fawns-Ritchie, Caroline Hayward, Riccardo E Marioni, Andrew M McIntosh and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. When genomics meets geopolitics.Humanities & social sciences communications · 2026
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Linking digital footprint data into longitudinal population studies.International journal of population data science · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Hannah MilbournCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4479-8635
Daniel McCartneyCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-3242-0360
Anne RichmondCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Robin FlaigCentre for Medical Informatics, Institute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.
Sarah RobertsonCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Chloe Fawns-RitchieDivision of Psychology, School of Humanities, Social Sciences and Law, University of Dundee, Dundee, UK.
Caroline HaywardCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-4430-4260
Andrew M McIntoshCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-0198-4588
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
Heather C WhalleyCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK heather.whalley@ed.ac.uk.ORCID 0000-0002-4505-8869
Cathie SudlowInstitute of Population Health Sciences and Informatics, The University of Edinburgh Usher, Edinburgh, UK.ORCID 0000-0002-7725-7520

Funding

Wellcome Trust
6 · The paper itself

Abstract

purposeGeneration 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.

participantsA 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. FINDINGS TO DATE: 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. FUTURE PLANS: 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).

Indexed as

Family HealthAdolescentAdultAgedCOVID-19DNA MethylationFemaleHealth StatusHumansLife StyleLongitudinal StudiesMaleMental HealthMiddle AgedSARS-CoV-2ScotlandElectronic Health RecordsEPIDEMIOLOGYGENETICS

Identifiers

PMID38908846
PMCPMC11340249

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.