CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics.

Abstract excerpt

We present CIT-Lasso, a framework that uses only summary statistics to identify, genome-wide, sets of variants carrying non-redundant information on a phenotype, distinguishing likely causal variants from correlated variants that are merely associated. The open-source implementation completes genome-wide analysis in under 15 min on one CPU. In simulations, it outperforms existing methods in false discovery rate...

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