A large international study of migraine reveals new biological pathways for treatment
- The study identified three rare variants with large effects that could be targeted for therapeutic developments. These variants include a frameshift variant in the PRRT2 gene associated with migraine with aura and epilepsy, rare loss-of-function variants in the SCN11A gene associated with protection against migraine, and a rare variant in the KCNK5 gene associated with protection against severe migraine and brain aneurysms.
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In a study published today in Nature Genetics a group of international scientists led by deCODE Genetics in
Migraine is among the most common chronic pain disorders worldwide, with up to
The study revealed associations with 44 variants, 12 of which are novel. Four novel migraine with aura associations were revealed and 13 variants associated primarily with migraine without aura. Of particular interest were three rare variants with large effects pointing to distinct pathologies underlying different types of migraine. Thus, a rare frameshift variant in the PRRT2 gene confers a large risk of migraine with aura and with another brain disease, epilepsy, but not of migraine without aura. In SCN11A, a gene known to play a key role in pain sensation, the scientists detected several rare loss-of-function variants associated with protection effects against migraine, while a common missense variant in the same gene associated with modest risk of migraine. Finally, a rare variant pointing to the KCNK5 gene, confers large protection against severe migraine and brain aneurysms, either identifying a common pathway between the two diseases, or suggesting that some cases of early brain aneurysm may be misclassified as migraine. „What makes our study unique is that it includes large datasets from sequenced individuals enabling detection of rare variants protecting against migraine, potentially opening an avenue for development of novel drug targets," says Kari Stefansson CEO of deCODE genetics..
The joint effort of the international research team was led by scientists at deCODE genetics in
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SOURCE deCODE genetics
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