ArticleWellcome open research2017
Electronic health record and genome-wide genetic data in Generation Scotland participants.
Article in Wellcome open research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Natural language processing for geriatric syndromes: a systematic review of methods, applications, and challenges.BMC medical informatics and decision making · 2026Pooled it
- Association of Genetic Variant at Chromosome 12q23.1 With Neuropathic Pain Susceptibility.JAMA network open · 2021Pooled it
- Improving Registration and Dataflows Between Pediatric Oncology Clinics and the Childhood Cancer Registry of Switzerland: Protocol for SwissPedCancer Quality Assurance Study.JMIR research protocols · 2026Article
- A methylome-wide association study of major depression with out-of-sample case-control classification and trans-ancestry comparison.Nature. Mental health · 2025Article
- Impact of preeclampsia on cardiovascular events: An analysis of the Generation Scotland: Scottish family health study.Journal of human hypertension · 2023Article
- Clinical case study meets population cohort: identification of a BRCA1 pathogenic founder variant in Orcadians.European journal of human genetics : EJHG · 2023Article
- VIKING II, a worldwide observational cohort of volunteers with northern isles ancestry.International journal of population data science · 2023Observational
- Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens' Engagement in Research Through eHealthBioR.Frontiers in digital health · 2021Article
- Impact of schizophrenia genetic liability on the association between schizophrenia and physical illness: data-linkage study.BJPsych open · 2020Article
- Comparison of physical examination and laboratory data between a clinical study and electronic health records.PloS one · 2020Article
- An actionable KCNH2 Long QT Syndrome variant detected by sequence and haplotype analysis in a population research cohort.Scientific reports · 2019Article
- Review
- Article
- Cohort profile for the STratifying Resilience and Depression Longitudinally (STRADL) study: A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessments.Wellcome open research · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
This article provides the first detailed demonstration of the research value of the Electronic Health Record (EHR) linked to research data in Generation Scotland Scottish Family Health Study (GS:SFHS) participants, together with how to access this data. The structured, coded variables in the routine biochemistry, prescribing and morbidity records, in particular, represent highly valuable phenotypic data for a genomics research resource. Access to a wealth of other specialized datasets, including cancer, mental health and maternity inpatient information, is also possible through the same straightforward and transparent application process. The EHR linked dataset is a key component of GS:SFHS, a biobank conceived in 1999 for the purpose of studying the genetics of health areas of current and projected public health importance. Over 24,000 adults were recruited from 2006 to 2011, with broad and enduring written informed consent for biomedical research. Consent was obtained from 23,603 participants for GS:SFHS study data to be linked to their Scottish National Health Service (NHS) records, using their Community Health Index number. This identifying number is used for NHS Scotland procedures (registrations, attendances, samples, prescribing and investigations) and allows healthcare records for individuals to be linked across time and location. Here, we describe the NHS EHR dataset on the sub-cohort of 20,032 GS:SFHS participants with consent and mechanism for record linkage plus extensive genetic data. Together with existing study phenotypes, including family history and environmental exposures, such as smoking, the EHR is a rich resource of real world data that can be used in research to characterise the health trajectory of participants, available at low cost and a high degree of timeliness, matched to DNA, urine and serum samples and genome-wide genetic information.
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Registered trials
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.