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Common disease genes identified

19 February 2008

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The Wellcome Trust Case Control Consortium has identified genes involved in a host of common diseases.

The past couple of decades have seen enormous efforts made to identify genes increasing our susceptibility to common diseases. Whole-genome scans now enable the entire genome to be screened for possible contributory factors. Unfortunately, the field has been blighted by ‘false positives’ - statistical associations discovered in one population but not apparent in another. Now, though, an approach spearheaded by the Wellcome Trust Case Control Consortium is finally generating robust data.

The Consortium is making use of the dense map of genetic markers produced by the SNP Consortium and its follow-up, the International HapMap Project. Advances in technology have enabled high-throughput analysis of hundreds of thousands of such markers in large numbers of individuals.

The Consortium also depended on coordination among the UK’s leading researchers (and groups abroad). Crucially, genetic associations identified in one population could be tested in other, increasing confidence that an association is real.

In essence, case-control approaches look for genetic variations that are more common in people with a given condition than in matched healthy individuals. The Consortium used the approach on a variety of conditions. This work, and follow-up by individual disease groups and collaborators, has now identified more than 30 genetic factors contributing to diseases including heart disease, type 1 and type 2 diabetes, Crohn’s disease, rheumatoid arthritis and ankylosing spondylitis. The number continues to increase with more detailed analysis and follow-up of the data.

Interestingly, the approach also led to the identification of genes associated with other characteristics, such as weight and height.

Because so many factors affect common diseases, and a single gene will generally have only a small effect, the identification of susceptibility genes will have limited value in the prediction of disease in individuals. Far more important is the insight provided into mechanisms of disease, opening up new avenues of research into causes and possible treatments.

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