Guillermo Reales

The paper evaluates eQTL-GWAS colocalisation studies, finding that 34-50% of GWAS hits colocalise, with trade-offs between granularity, sample size, and colocalisation detection.

CoPheScan improves PheWAS by accounting for linkage disequilibrium, identifying causal associations and reducing false positives in genetic variant analyses.

This study finds that sharing GWAS summary statistics leads to about 75% more citations, regardless of journal impact factor, encouraging authors to share data in repositories like the GWAS catalog.

RapidoPGS computes polygenic scores using only summary GWAS data without needing test datasets, achieving faster performance than some existing methods.

This paper introduces Flexible cFDR, a method that improves GWAS discovery by using auxiliary data from arbitrary distributions to control the false discovery rate and increase sensitivity.

The paper introduces a method to reduce dimensions of GWAS summary data for related traits, identifying genetic risk patterns and enabling functional characterisation of components.