Generation Scotland participant survey on data collection

Background: Generation Scotland (GS) is a population and family-based study of genetic and environmental health determinants. Recruitment to the Scottish Family Health Study component of GS took place between 2006-2011. Participants were aged 18 or over and consented to genetic studies, linkage to health records and recontact. Several recontact exercises have been successfully conducted aimed at a) recruitment to embedded or partner studies and b) the collection of additional data. As the cohort matures in age, we were interested in surveying attitudes to potential new approaches to data collection and recruitment. Methods: A ten-question online survey was sent to those participants who provided an email address. Results: We report a high level of positive responses to encouraging relatives to participate, to remote data and sample collection and for research access to stored newborn dried blood spots. Conclusions: The majority of current and prospective GS participants are likely to respond positively to future requests for remote data and sample collection.

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1461-P: Cardiac Troponin T and Troponin I and Incident Diabetes in the General Population: Generation Scotland Scottish Family Health Study

Diabetes ◽

10.2337/db19-1461-p ◽

2019 ◽

Vol 68 (Supplement 1) ◽

pp. 1461-P

Author(s):

PAUL WELSH ◽

DAVID PREISS ◽

ARCHIE CAMPBELL ◽

DAVID J. PORTEOUS ◽

NICHOLAS L. MILLS ◽

...

Keyword(s):

General Population ◽

Cardiac Troponin ◽

Troponin I ◽

Troponin T ◽

Family Health ◽

Incident Diabetes ◽

Health Study ◽

Cardiac Troponin T ◽

Generation Scotland

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Phenotypic and genetic analysis of cognitive performance in Major Depressive Disorder in the Generation Scotland: Scottish Family Health Study

Translational Psychiatry ◽

10.1038/s41398-018-0111-0 ◽

2018 ◽

Vol 8 (1) ◽

Cited By ~ 3

Author(s):

Joeri J. Meijsen ◽

Archie Campbell ◽

Caroline Hayward ◽

David J. Porteous ◽

Ian J. Deary ◽

...

Keyword(s):

Major Depressive Disorder ◽

Genetic Analysis ◽

Depressive Disorder ◽

Cognitive Performance ◽

Family Health ◽

Health Study ◽

Major Depressive ◽

Generation Scotland

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536. Cognitive Performance in Major Depressive Disorder in Generation Scotland: The Scottish Family Health Study (GS:SFHS)

Biological Psychiatry ◽

10.1016/j.biopsych.2017.02.1144 ◽

2017 ◽

Vol 81 (10) ◽

pp. S217

Author(s):

Joeri Meijsen ◽

Archie Campbell ◽

Andrew McIntosh ◽

David Porteous ◽

Ian Deary ◽

...

Keyword(s):

Major Depressive Disorder ◽

Depressive Disorder ◽

Cognitive Performance ◽

Family Health ◽

Health Study ◽

Major Depressive ◽

Generation Scotland

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Generation Scotland - Using Electronic Health Records for Research

International Journal for Population Data Science ◽

10.23889/ijpds.v3i2.479 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

Archie Campbell ◽

David Porteous

Keyword(s):

Family Health ◽

Health Study ◽

Mortality Data ◽

Generation Scotland ◽

Scanned Images ◽

Family Based ◽

New Research ◽

Lab Test ◽

Longitudinal Dataset

Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based genetic epidemiology study of ~24,000 volunteers from ~7000 families recruited across Scotland between 2006 and 2011 with the capacity for follow-up through record linkage and re-contact. Broad consent was obtained for linkage to “medical records” for 98% of the cohort. Participants completed a questionnaire, provided samples, and underwent clinical assessment. The samples and data collected form a resource with consent for research on the genetics of health, becoming a longitudinal dataset by linkage to routine NHS hospital, maternity, lab test, prescribing, dentistry and mortality data. Researchers can use the linked datasets to test research hypotheses on a stratified population and target recruitment to new studies. We have established and validated EHR linkage, overcoming technical and governance issues in the process. We plan to collaborate with UK Biobank, creating a combined cohort of over 50,000 people in Scotland, and using the SHARE register to obtain new research samples from routine NHS tests. We will extend linkage to include primary care data and scanned images in the next year. The resources are available to academic and commercial researchers through a managed access process.

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Intelligence and neuroticism in relation to depression and psychological distress: evidence of interaction using data from Generation Scotland: Scottish Family Health Study and UK Biobank

10.1101/039545 ◽

2016 ◽

Cited By ~ 1

Author(s):

LB Navrady ◽

SJ Ritchie ◽

SWY Chan ◽

DM Kerr ◽

MJ Adams ◽

...

Keyword(s):

Psychological Distress ◽

Significant Interaction ◽

Protective Factor ◽

Short Form ◽

Family Health ◽

Population Based ◽

Depressive Illness ◽

Health Study ◽

Uk Biobank ◽

Generation Scotland

ABSTRACTBackgroundNeuroticism is a risk factor for selected mental and physical illnesses and is inversely associated with intelligence. Intelligence appears to interact with neuroticism and mitigate its detrimental effects on physical health and mortality. However, the inter-relationships of neuroticism and intelligence for major depressive disorder (MDD) and psychological distress has not been well examined.MethodsAssociations and interactions between neuroticism and general intelligence (g) on MDD and psychological distress were examined in two population-based cohorts: Generation Scotland: Scottish Family Health Study (GS:SFHS, N=19,200) and UK Biobank (N=90,529). The Eysenck Personality Scale Short Form-Revised measured neuroticism and g was extracted from multiple cognitive ability tests in each cohort. Family structure was adjusted for in GS:SFHS.ResultsNeuroticism was associated with MDD and psychological distress in both samples. A significant interaction between neuroticism and g in predicting MDD status was found in UK Biobank (OR = 0.96, p < .01), suggesting that higher g ameliorated the adverse effects of neuroticism on the likelihood of having MDD. This interaction was not found in GS:SFHS. In both samples, higher neuroticism and lower intelligence were associated with increased psychological distress. A significant interaction was also found in both cohorts (GS:SFHS: ß = -0.05, p < .01; UK Biobank: ß = -0.02, p < .01), such that intelligence protected against the deleterious effect of neuroticism on psychological distress.ConclusionsFrom two large cohort studies, our findings suggest intelligence acts a protective factor in mitigating the effects of neuroticism on risk for depressive illness and psychological distress.

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