Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability

Generation Scotland: Шотландское исследование здоровья семей; новый ресурс для изучения генов и наследуемости
Blair H. Smith, Harry Campbell, D. Blackwood, John Connell, M. L. Connor, Ian J. Deary, Anna F. Dominiczak, Bridie Fitzpatrick, Ian Ford, Cathy Jackson, Gill Haddow, Shona M. Kerr, Robert S. Lindsay, Mark McGilchrist, Robin A. Morton, Graeme I. Murray, Colin NA Palmer, Jill P. Pell, Stuart H. Ralston, David St Clair, Frank Sullivan, Graham Watt, C. Roland Wolf, Alan F. Wright, David J. Porteous, Andrew D. Morris
2006-10-02

Generation Scotlandelectronic health recordsfamily-based cohortgenetic variantsheritability
BACKGROUND: Generation Scotland: the Scottish Family Health Study aims to identify genetic variants accounting for variation in levels of quantitative traits underlying the major common complex diseases (such as cardiovascular disease, cognitive decline, mental illness) in Scotland. METHODS/DESIGN: Generation Scotland will recruit a family-based cohort of up to 50,000 individuals (comprising siblings and parent-offspring groups) across Scotland. It will be a six-year programme, beginning in Glasgow and Tayside in the first two years (Phase 1) before extending to other parts of Scotland in the remaining four years (Phase 2). In Phase 1, individuals aged between 35 and 55 years, living in the East and West of Scotland will be invited to participate, along with at least one (and preferably more) siblings and any other first degree relatives aged 18 or over. The total initial sample size will be 15,000 and it is planned that this will increase to 50,000 in Phase 2. All participants will be asked to contribute blood samples from which DNA will be extracted and stored for future investigation. The information from the DNA, along with answers to a life-style and medical history questionnaire, clinical and biochemical measurements taken at the time of donation, and subsequent health developments over the life course (traced through electronic health records) will be stored and used for research purposes. In addition, a detailed public consultation process will begin that will allow respondents' views to shape and develop the study. This is an important aspect to the research, and forms the continuation of a long-term parallel engagement process. DISCUSSION: As well as gene identification, the family-based study design will allow measurement of the heritability and familial aggregation of relevant quantitative traits, and the study of how genetic effects may vary by parent-of-origin. Long-term potential outcomes of this research include the targeting of disease prevention and treatment, and the development of screening tools based on the new genetic information. This study approach is complementary to other population-based genetic epidemiology studies, such as UK Biobank, which are established primarily to characterise genes and genetic risk in the population.
1
A continuing public consultation process will incorporate participants’ views into the study’s development and engagement strategy.
2
Generation Scotland is designed as a family-based cohort of up to 50,000 Scottish individuals to investigate genetic contributions to quantitative traits underlying common complex diseases.
3
Participants will provide DNA, lifestyle and medical-history data, clinical and biochemical measurements, and longitudinal electronic health-record information for integrated research.
4
The family-based design enables estimation of heritability and familial aggregation of disease-related traits, including variation in genetic effects by parent of origin.
5
The resource is intended to support gene identification and, ultimately, more targeted prevention of common diseases.
6
The six-year recruitment programme begins with 15,000 participants aged 35–55 years in Glasgow, Tayside, and surrounding regions, then expands across Scotland to 50,000 participants.

Generation Scotland family-based cohort of up to 50,000 Scottish individuals and their linked genetic, health, lifestyle, clinical, biochemical, and longitudinal health-record data

Genetic contributions, heritability, familial aggregation, and parent-of-origin effects underlying variation in quantitative traits related to common complex diseases

Publication Details
Publication Date
2006-10-02
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Blair H. Smith
Harry Campbell
D. Blackwood
John Connell
M. L. Connor
Ian J. Deary
Anna F. Dominiczak
Bridie Fitzpatrick
Ian Ford
Cathy Jackson
Gill Haddow
Shona M. Kerr
Robert S. Lindsay
Mark McGilchrist
Robin A. Morton
Graeme I. Murray
Colin NA Palmer
Jill P. Pell
Stuart H. Ralston
David St Clair
Frank Sullivan
Graham Watt
C. Roland Wolf
Alan F. Wright
David J. Porteous
Andrew D. Morris
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%