127 research outputs found
Generation Scotland: Donor DNA Databank
No full textThe Generation Scotland Donor DNA Databank (GS:3D) phenotype was collected from consented blood donors by questionnaire and relates to 4,998 healthy control DNA samples and plasma.Dataset pertaining to the publication “Generation Scotland: Donor DNA Databank; A control DNA resource”. BMC Med Genet 2010 Nov 23;11:166. doi: 10.1186/1471-2350-11-166.
URL: http://www.biomedcentral.com/1471-2350/11/166
The data is phenotype information collected from consented donors by questionnaire as described in the research paper and is in an MS Excel table, GS3D phenotype.xls.
If you use this dataset, please cite the manuscript in order to acknowledge the contribution of the Generation Scotland: Donor DNA Databank (GS:3D) resource.
For information about using GS:3D DNA or plasma samples, or genetic data, please visit http://www.generationscotland.org/ or contact [email protected]. All applications to use Generation Scotland resources will be reviewed by the Generation Scotland Access Committee.
GS:3D is an NHS Lothian NRS BioResource, governed as a Research Tissue Bank by the GS Access Committee, and has supported over 20 research projects to date.
GS:3D was funded by a project grant from the Scottish Executive Health Department, Chief Scientist Office, grant number CZB/4/285.
Shona Kerr, on behalf of all co-authors in the corresponding manuscript
Generation Scotland: Donor DNA Databank
No full textDataset pertaining to the publication “Generation Scotland: Donor DNA Databank; A control DNA resource”. BMC Med Genet 2010 Nov 23;11:166. doi: 10.1186/1471-2350-11-166. URL: http://www.biomedcentral.com/1471-2350/11/166 The data is phenotype information collected from consented donors by questionnaire as described in the research paper and is in an MS Excel table, GS3D phenotype.xls. If you use this dataset, please cite the manuscript in order to acknowledge the contribution of the Generation Scotland: Donor DNA Databank (GS:3D) resource. For information about using GS:3D DNA or plasma samples, or genetic data, please visit http://www.generationscotland.org/ or contact [email protected]. All applications to use Generation Scotland resources will be reviewed by the Generation Scotland Access Committee. GS:3D is an NHS Lothian NRS BioResource, governed as a Research Tissue Bank by the GS Access Committee, and has supported over 20 research projects to date. GS:3D was funded by a project grant from the Scottish Executive Health Department, Chief Scientist Office, grant number CZB/4/285. Shona Kerr, on behalf of all co-authors in the corresponding manuscript.Kerr, Shona; Porteous, David; Campbell, Archie. (2015). Generation Scotland: Donor DNA Databank, 2008 [dataset]. University of Edinburgh. Institute of Genetics and Molecular Medicine. Centre for Genomic and Experimental Medicine. http://dx.doi.org/10.7488/ds/293
Generation Scotland Survey Monkey data
No full textGeneration Scotland (GS) conducted a recontact survey on ~7,000 participants who could be contacted by email. The survey used Survey Monkey Inc. to understand GS participant opinions on health research. A total of 2,316 participants responded. This dataset include the summary level data and anonymised individual level data.Edwards, Rachel; Campbell, Archie; Porteous, David. (2019). Generation Scotland Survey Monkey data, 2019 [dataset]. University of Edinburgh. School of Molecular, Genetic and Population Health Sciences. Institute of Genetics and Molecular Medicine. https://doi.org/10.7488/ds/2585
Generation Scotland Survey Monkey data
No full textGeneration Scotland (GS) conducted a recontact survey on ~7,000 participants who could be contacted by email. The survey used Survey Monkey Inc. to understand GS participant opinions on health research. A total of 2,316 participants responded. This dataset include the summary level data and anonymised individual level data
Data Resource Profile: Whole-Blood DNA Methylation Resource in Generation Scotland (MeGS)
No full textWe have generated whole-blood DNA methylation profiles from 18 869 Generation Scotland: Scottish Family Health Study (GS) participants, resulting in, at the time of writing, the largest single-cohort DNA methylation resource for basic biological and medical research: Methylation in Generation Scotland (MeGS). GS is a community- and family-based cohort, which recruited >24 000 participants from Scotland between 2006 and 2011.Comprehensive phenotype information, including detailed data on cognitive function, personality traits, and mental health, is available for all participants. The majority of GS participants (83%) have genome-wide single-nucleotide polymorphism genotype data (IlluminaHumanOmniExpressExome-8 array v1.0 and v1.2). Over 97% of GS participants have given consent for health record linkage and re-contact. At baseline, blood-based DNA methylation was characterized at �850 000 sites across four waves by using the Illumina EPICv1 array. MeGS participants were aged between 17 and 99 years at the time of enrolment in GS. Blood-based DNA methylation EPICv1 array profiles collected at a follow-up appointment that took place 4.3–12.2 years (mean ¼ 7.1 years) after baseline are also available for 796 MeGS participants. Access to MeGS for researchers and collaborators is via application to the GS Access Committee ([email protected])
Generation Scotland participant survey on data collection
No full textBackground: 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
Generation Scotland – Linking all the records we can
No full textObjectives
Generation Scotland (GS) is a family-based genetic epidemiology study. Initial recruitment between 2006-11 recruited ~24,000 adults from ~7000 families across Scotland with consent for medical record linkage and re-contact. In 2022 we began recruiting another 20,000, with consent extended to administrative records, with age range now 12+.
Methods
Original volunteers completed a baseline questionnaire, provided biological samples and underwent clinical assessment. The samples, phenotype and genotype (including methylation) data are linked to routine NHS hospital, maternity, lab test, prescriptions, dentistry, mortality, imaging, cancer screening, GP data records, Covid-19 testing and vaccinations, and 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.
Results
Researchers can find prevalent and incident disease cases and controls, to test research hypotheses on a stratified population. GS is a vanguard cohort testing emerging linkage opportunities in Scotland – including neonatal bloodspots and medical imaging reports. GS has 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.
Conclusion
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
Generation Scotland: an update on Scotland’s longitudinal family health study
No full textPURPOSE: Generation 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.PARTICIPANTS: A 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).</p
Generation Scotland: Donor DNA Databank; A control DNA resource
No full textAbstract Background Many medical disorders of public health importance are complex diseases caused by multiple genetic, environmental and lifestyle factors. Recent technological advances have made it possible to analyse the genetic variants that predispose to complex diseases. Reliable detection of these variants requires genome-wide association studies in sufficiently large numbers of cases and controls. This approach is often hampered by difficulties in collecting appropriate control samples. The Generation Scotland: Donor DNA Databank (GS:3D) aims to help solve this problem by providing a resource of control DNA and plasma samples accessible for research. Methods GS:3D participants were recruited from volunteer blood donors attending Scottish National Blood Transfusion Service (SNBTS) clinics across Scotland. All participants gave full written consent for GS:3D to take spare blood from their normal donation. Participants also supplied demographic data by completing a short questionnaire. Results Over five thousand complete sets of samples, data and consent forms were collected. DNA and plasma were extracted and stored. The data and samples were unlinked from their original SNBTS identifier number. The plasma, DNA and demographic data are available for research. New data obtained from analysis of the resource will be fed back to GS:3D and will be made available to other researchers as appropriate. Conclusions Recruitment of blood donors is an efficient and cost-effective way of collecting thousands of control samples. Because the collection is large, subsets of controls can be selected, based on age range, gender, and ethnic or geographic origin. The GS:3D resource should reduce time and expense for investigators who would otherwise have had to recruit their own controls.</p
Epidemiology and heritability of Major Depressive Disorder, stratified by age of onset, sex, and illness course in Generation Scotland:Scottish Family Health Study (GS:SFHS)
No full textThe heritability of Major Depressive Disorder (MDD) has been estimated at 37% based largely on twin studies that rely on contested assumptions. More recently, the heritability of MDD has been estimated on large populations from registries such as the Swedish, Finnish, and Chinese cohorts. Family-based designs utilise a number of different relationships and provide an alternative means of estimating heritability. Generation Scotland: Scottish Family Health Study (GS:SFHS) is a large (n = 20,198), family-based population study designed to identify the genetic determinants of common diseases, including Major Depressive Disorder. Two thousand seven hundred and six individuals were SCID diagnosed with MDD, 13.5% of the cohort, from which we inferred a population prevalence of 12.2% (95% credible interval: 11.4% to 13.1%). Increased risk of MDD was associated with being female, unemployed due to a disability, current smokers, former drinkers, and living in areas of greater social deprivation. The heritability of MDD in GS:SFHS was between 28% and 44%, estimated from a pedigree model. The genetic correlation of MDD between sexes, age of onset, and illness course were examined and showed strong genetic correlations. The genetic correlation between males and females with MDD was 0.75 (0.43 to 0.99); between earlier (≤ age 40) and later (> age 40) onset was 0.85 (0.66 to 0.98); and between single and recurrent episodic illness course was 0.87 (0.72 to 0.98). We found that the heritability of recurrent MDD illness course was significantly greater than the heritability of single MDD illness course. The study confirms a moderate genetic contribution to depression, with a small contribution of the common family environment (variance proportion = 0.07, CI: 0.01 to 0.15), and supports the relationship of MDD with previously identified risk factors. This study did not find robust support for genetic differences in MDD due to sex, age of onset, or illness course. However, we found an intriguing difference in heritability between recurrent and single MDD illness course. These findings establish GS:SFHS as a valuable cohort for the genetic investigation of MDD.</p
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