Jianhui Gao

The paper introduces COAST-SS, a method to identify allelic series using summary statistics, showing it is effective and robust to LD matrix misspecification.

This paper introduces SynSurr, a method that improves GWAS power for partially missing phenotypes by jointly analyzing the target phenotype and a synthetic surrogate predicted by machine learning, without requiring a correctly specified imputation model.

The paper compares data integration methods in GWAS using functional annotations, finding that weighted p-value methods identify more variants than sFDR, though sFDR is more robust to uninformative scores.