Model-based Association test Reflecting causal Status (MARS)

The standard genome-wide association studies (GWAS) detects an association between a single variant and a phenotype of interest. Recently, several studies reported that at many risk loci, there may exist multiple causal variants. For a locus with multiple causal variants with small effect sizes, the standard association test is underpowered to detect small effects. Alternatively, an approach considering effects of multiple variants simultaneously may increase statistical power by leveraging effects of multiple causal variants. Model-based Association test Reflecting causal Status(MARS), finds an association between variants in risk loci and a phenotype, considering the causal status of the variants.

The C++ implementation of MARS is available. Please refer to the Documentation link for further information. If you have you any further question, please contact Jong Wha J Joo, Farhad hormozdiari, and Eleazar Eskin.

This web-site is based upon work supported by the National Science Foundation under Grant No. 0513599 and 0729049. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.