Back to results
Bibliographic record · Consultation and access
Artículo

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul R. Burton; David G. Clayton; Lon R. Cardon; Nick Craddock; Panos Deloukas; Audrey Duncanson; Dominic Kwiatkowski; Mark I. McCarthy · Nature · 2007

Resource page
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

OpenAlex OpenAlex Works
Entrar por OpenAlex
Main access

Resource page

Resource reference page. Full text availability has not been automatically confirmed.
Open resource

Summary

Descripción general del contenido del recurso.

There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined ∼2,000 individuals for each of 7 major diseases and a shared set of ∼3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 × 10-7: 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn’s disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals (including 58 loci with single-point P values between 10-5 and 5 × 10-7) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research. With the advent of many more markers in the human genome, it has become possible to search for genes associated with human disease without having to narrow down candidate regions of the genome first. In a ground-breaking publication, the Wellcome Trust Case Control Consortium reports an exciting genome-wide association study of some 17,000 individuals for seven common familial diseases. The analysis confirms previously identified loci and provides strong evidence for many novel disease susceptibility genes. An exciting genome-wide association study in the British population for seven common diseases. This analysis confirms previously identified loci and provides strong evidence for many novel disease susceptibility loci.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Burton, P. R, Clayton, D. G, Cardon, L. R, Craddock, N, Deloukas, P, Duncanson, A, Kwiatkowski, D, & McCarthy, M. I. (2007). Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. https://doi.org/10.1038/nature05911

MLA

Burton, Paul R, et al. "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls." 2007. https://doi.org/10.1038/nature05911.

Chicago

Burton, Paul R, David G. Clayton, Lon R. Cardon, Nick Craddock, Panos Deloukas, Audrey Duncanson, Dominic Kwiatkowski, and Mark I. McCarthy. 2007. "Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.". https://doi.org/10.1038/nature05911.

Harvard

Burton, P. R. et al. 2007, Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls, Nature, available at: https://doi.org/10.1038/nature05911 [Accessed 6 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
Author / contributors
Paul R. Burton; David G. Clayton; Lon R. Cardon; Nick Craddock; Panos Deloukas; Audrey Duncanson; Dominic Kwiatkowski; Mark I. McCarthy
Publisher
Nature
Publication year
2007
Language
English

Subjects

Explore related resources through these subjects.

Copied