Integrated gene signal processing (IGSP) is a rare-variant based integrated approach to prioritize risk genes in association sequencing studies. Instead of solely relying on association signals, our IGSP approach integrates this information with gene network and phenotype data to allow optimal detection of putatively bona fide disease association signals of rare variants at the gene level and thus maximize the likelihood of uncovering weak (effect size) but real disease risk genes within a dataset. The design of the method addresses the issue of insufficient statistical power and can significantly improve the identification of disease risk genes with marginal association signals.
Lin et al (2017) Integrated rare variant-based risk gene prioritization in disease case-control sequencing studies. (Submitted)
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