jennasimit/flashfm: flexible and shared information fine-mapping

Flashfm is a computationally efficient approach to simultaneously fine-map several related quantitative traits and borrows information between diseases in a Bayesian framework. Joint models that have at least one shared causal variant between a pair of traits are given higher weight than those without shared variants. Flashfm has greater accuracy than single trait analysis when shared causal variants exist, and negligible loss of precision otherwise. The best SNP models are summarised in terms of sets of correlated SNPs that have a similar impact on the trait.

install.packages("remotes")
remotes::install_github("jennasimit/flashfm")