Generation Scotland

Generation Scotland
Founded 1999
Number of locations Multiple (in Scotland)
Main collaborators University of Dundee

University of Aberdeen
University of Edinburgh
University of Glasgow
MRC Human Genetics Unit
NHS Scotland
NHS ISD Scotland

Website www.generationscotland.org

Generation Scotland is a Biobank, a resource of biological samples and information on health and lifestyle from thousands of volunteer donors in Scotland.

The aim of Generation Scotland is to create an ethically sound family- and population-based collection of genetic, medical and lifestyle data which can be used as a resource by scientific researchers to tackle a variety of important healthcare issues, such as our susceptibility to common diseases and our response to medicines.[1][2] This kind of work has far-reaching implications including earlier and more accurate diagnosis, improved understanding of disease mechanisms and a reduction in drug-related side effects.[3][4]

Generation Scotland’s biggest project, the Scottish Family Health Study, is recruiting thousands of family groups. Studying families rather than unrelated individuals increases the chances of detecting the genes that influence disease risk and response to drugs.[1]

Contents

Background

The main focus of Generation Scotland is on identifying the inherited factors, or genes, that influence our risk of being affected by a number of common causes of ill health, including heart disease, diabetes, mental illness, obesity, stroke and diseases of the bones and joints. Our genes also influence how we respond to different medicines. The basic idea behind Generation Scotland is that by comparing the genes in large groups of people (such as patients and healthy people, or people who respond well to a medicine and people who do not) researchers will be able to work out which genetic factors contribute to our chances of becoming unwell or of suffering from drug-related side-effects.

Common disorders such as heart disease and diabetes are significant causes of chronic ill health and death in middle-aged people.[5] Adverse reactions to prescription drugs delay recovery and drain healthcare resources.[6] Generation Scotland is therefore addressing issues of major public health importance.

Disease risk and drug response are examples of complex traits. Instead of having a single cause, complex traits typically result from a combination of factors including genes, environment and lifestyle (diet, smoking history, exercise patterns, use of other medicines etc) [3]. Until very recently there was no efficient way of systematically searching for the genetic factors that underlie complex diseases. However the completion of the Human Genome Project, coupled with technological advances that allow rapid comparison of thousands of DNA samples, means that the necessary methods are now available.[3][7]

Detection of the relevant genetic factors depends on statistical analysis of data obtained by comparing the DNA of people with and without a particular trait (cases and controls, respectively). This is a powerful approach which has already yielded considerable success.[8] However thousands of individuals must be recruited for such case-control studies to generate meaningful results and this is often beyond the means of smaller research groups.

Generation Scotland has put in place the considerable infrastructure required to recruit the necessary numbers of participants, to collect, process and securely store the associated biological samples and data, and to make these available to the wider research community. Scientists who are planning research into the causes or treatments of common complex diseases and who have appropriate approval from a Research Ethics Committee can apply to use the resource in accordance with Generation Scotland’s Access Policy. All data generated in this way will be fed back to Generation Scotland and will in turn form part or the resource.

Funding

Generation Scotland is funded by

Collaborators

Generation Scotland is a multi-institution, cross-disciplinary collaboration involving

Projects

Generation Scotland involves several disciplines including medicine, science, education and social science. This is reflected by the diversity of projects in the Generation Scotland portfolio:

Public consultation

Public involvement is essential for the overall success of any Biobank and therefore one of the first Generation Scotland projects to get underway was a programme of public consultation. The aim of the programme is to foster a relationship of trust between potential participants and scientists and to understand and explain public reaction to a wide range of relevant issues including genetics in healthcare, the use of bioinformation, and concerns surrounding consent and confidentiality.[9]

Information technology and research infrastructure

Biobank projects require considerable infrastructure to ensure that samples and data gathered from volunteers at the various recruitment centres are collected efficiently, processed and stored securely, and analysed effectively. Generation Scotland has designed protocols to standardise and integrate all stages of the process from volunteer recruitment to data handling.[2] For example, a customised Laboratory Information Management System (LIMS) is being used to track samples as they move from the clinics to the Wellcome Trust Clinical Research Facility, Edinburgh for processing and storage, and then on to the research laboratories for analysis.

Timeline

The Generation Scotland concept has evolved over many years. Below is a list of the key milestones in the development of Generation Scotland and its associated projects.

External links

References

  1. ^ a b Smith BH, Campbell H, Blackwood D, et al. (2006). "Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability". BMC Medical Genetics 7: 74. doi:10.1186/1471-2350-7-74. PMC 1592477. PMID 17014726. http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=1592477. 
  2. ^ a b Macleod AK, Liewald DC, McGilchrist MM, Morris AD, Kerr SM, Porteous DJ (February 2009). "Some principles and practices of genetic biobanking studies". The European Respiratory Journal 33 (2): 419–25. doi:10.1183/09031936.00043508. PMID 19181915. 
  3. ^ a b c Lango H, Weedon MN (January 2008). "What will whole genome searches for susceptibility genes for common complex disease offer to clinical practice?". Journal of Internal Medicine 263 (1): 16–27. doi:10.1111/j.1365-2796.2007.01895.x. PMID 18088250. 
  4. ^ McCarthy MI, Abecasis GR, Cardon LR, et al. (May 2008). "Genome-wide association studies for complex traits: consensus, uncertainty and challenges". Nature Reviews. Genetics 9 (5): 356–69. doi:10.1038/nrg2344. PMID 18398418. 
  5. ^ Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ (May 2006). "Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data". Lancet 367 (9524): 1747–57. doi:10.1016/S0140-6736(06)68770-9. PMID 16731270. 
  6. ^ Kongkaew C, Noyce PR, Ashcroft DM (July 2008). "Hospital admissions associated with adverse drug reactions: a systematic review of prospective observational studies". The Annals of Pharmacotherapy 42 (7): 1017–25. doi:10.1345/aph.1L037. PMID 18594048. 
  7. ^ Hirschhorn JN, Daly MJ (February 2005). "Genome-wide association studies for common diseases and complex traits". Nature Reviews. Genetics 6 (2): 95–108. doi:10.1038/nrg1521. PMID 15716906. 
  8. ^ Burton, Paul R.; Clayton, David G.; Cardon, Lon R.; Craddock, Nick; Deloukas, Panos; Duncanson, Audrey; Kwiatkowski, Dominic P.; McCarthy, Mark I. et al. (June 2007). "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls". Nature 447 (7145): 661–78. doi:10.1038/nature05911. PMC 2719288. PMID 17554300. http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2719288. 
  9. ^ Haddow, Gill; Cunningham-Burley, Sarah; Bruce, Ann; Parry, Sarah (2008). "Generation Scotland: consulting publics and specialists at an early stage in a genetic database's development". Critical Public Health 18 (2): 139. doi:10.1080/09581590701824086. 
  10. ^ Luciano M, Batty GD, McGilchrist M, Linksted P, Fitzpatrick B, Jackson C, Pattie A, Dominiczak AF, Morris AD, Smith BH, Porteous D, Deary IJ (Apr 2010). "Shared genetic aetiology between cognitive ability and cardiovascular disease risk factors: Generation Scotland's Scottish family health study". Intelligence 38 (3): 304–313. doi:10.1016/j.intell.2010.03.002. 
  11. ^ Repapi E et al (Jan 2010). "Genome-wide association study identifies five loci associated with lung function". Nature Genetics 42 (1): 36–44. doi:10.1038/ng.501. PMC 2862965. PMID 20010834. http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2862965.