Rare variants of major effect play an important role in human complex diseases and can be discovered by sequencing-based genome-wide association studies. IGSP combines the rare variant association test with gene network and phenotype information to identify risk genes implicated by rare variants for human complex diseases. This data integration can significantly improve the identification of disease risk genes with marginal association signals. IGSP follows a 'discovery-driven' strategy without relying on prior knowledge about the disease and thus maintains the unbiased character of genome-wide association studies.
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