High resolution mapping of genomic regions implicated in migraine

Funding Activity

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Funded Activity Summary

Migraine is a frequent, debilitating and painful disorder that affects a significant proportion of the population. Using the diagnostic criteria of the international Headache Society, the prevalence of migraine has been estimated to be approximately 12%, with a recent study in the United States showing that migraine affects 4% of children, 6% of men and 18% of women. The aetiology of migraine is unknown and there are no laboratory based diagnostic tests to identify those who suffer from the disorder. Clinical diagnosis is currently based on patient symptom descriptions, with individual symptoms being shown to vary with age. Migraine is believed to have a genetic basis with specific environmental factors, such as particular foods, hormonal levels and fatigue, being capable of inducing attacks in predisposed individuals. Migraine shows strong familial aggregation with about 50% of those affected, having another close relative also affected with the disorder. At present the number of genes involved in the disorder is unknown and have not been identified. Recent studies in our laboratory have localised two migraine genes, one to chromosome 19 and the other to the X chromosome. More recently we have also found evidence for a third gene on chromosome 1. This study is aimed at fine scale mapping analysis of these three chromosomal regions in order to pinpoint the location of migraine genes. Our ultimate aim is to identify the molecular causes of this disorder. This would have important implications to both the diagnosis and treatment of migraine.

Funded Activity Details

Start Date: 01-01-2001

End Date: 01-01-2003

Funding Scheme: NHMRC Project Grants

Funding Amount: $392,545.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neurogenetics

ANZSRC Socio-Economic Objective (SEO)

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Other Keywords

Candidate genes | Disease Aetiology | Fine Mapping | Linkage analysis | Migraine | Molecular genetics | Neurogenetics