Development and application of novel bioinformatics approaches to identify pathogenetic mechanisms underlying migraine

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Migraine is a public health problem. Although GWAS lead to robust findings, the mechanisms and therapeutic strategies are unknown. This is caused by limited sample size hampering obtaining large number of SNPs by GWAS. Integrating priori knowledge with bioinformatics studies is promising to discover hidden SNPs. Here, I will develop a novel approach to find novel genetic risk loci and genes by integrating comprehensive knowledge on SNPs and genes with GWAS instead of increasing sample.