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The rapid increase of omic data has greatly facilitated the investigation of associations between omic profiles such as DNA methylation (DNAm) and complex traits in large cohorts. Here, we propose a mixed-linear-model-based method called MOMENT that tests for association between a DNAm probe and trait with all other distal probes fitted in multiple random-effect components to account for unobserved confounders. We demonstrate by simulations that MOMENT shows a lower false positive rate and more robustness than existing methods. MOMENT has been implemented in a versatile software package called OSCA together with a number of other implementations for omic-data-based analyses.
Zhang, F., Chen, W., Zhu, Z., Zhang, Q., Nabais, M. F., Qi, T., … Yang, J. (2019). OSCA: A tool for omic-data-based complex trait analysis. Genome Biology, 20(1). https://doi.org/10.1186/s13059-019-1718-z