# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MRAPSS" in publications use:' type: software title: 'MRAPSS: The MRAPSS package implement the MR-APPSS approach to test for the causal effect of an exposure on a outcome disease.' version: 0.0.0.9000 doi: 10.32614/CRAN.package.MRAPSS abstract: The MRAPSS package implement the MR-APPSS approach to test for the causal effects between an exposure and a outcome disease. The MR-APPSS is a unified approach to Mendelian Randomization accounting for polygenicity, pleiotropy and sample structure using genome-wide summary statistics. Specifically, MR-APPSS uses a background-foreground model to characterize both SNP-exposure effects and SNP-outcome effects estimates, where the background model accounts for confounding from genetic correlation and sample structure and the foreground model captures the valid signal for causal inference. authors: - family-names: HU given-names: Xianghong email: maxhu@ust.hk orcid: https://orcid.org/0000-0001-5260-3936 repository: https://mrcieu.r-universe.dev commit: ad5827e4f121f26a0ec63874c2f2b395ff7debf9 contact: - family-names: HU given-names: Xianghong email: maxhu@ust.hk orcid: https://orcid.org/0000-0001-5260-3936