We propose a novel Bayesian model, CARMA (CAusal Robust mapping method in Meta-Analysis studies), for fine-mapping in order to identify putative causal variants at GWAS loci. The main features of CARMA are
Modeling jointly summary statistics and high-dimensional functional annotations
Introducing a novel Bayesian hypothesis testing approach to account for discrepancies between summary statistics and LD from external reference panels
flexible specification of the prior distribution of effect sizes including a heavy-tail Cauchy distribution that is more adaptive to the possibly different signal-to-noise ratios across loci
Vignettes can be found at [https://github.com/ZikunY/CARMA/blob/master/CARMA_demo.pdf].
The manual can be found at [https://github.com/ZikunY/CARMA/blob/master/CARMA.pdf].
devtools::install_github("ZikunY/CARMA")Yang, Z., Wang C, ， Khan A, Vardarajan B, Mayeux R, Kiryluk D, Ionita-Laza I,
CARMA: Novel Bayesian model for fine-mapping in meta-analysis studies