Testing for the causal mediation effects of multiple mediators using the kernel machine difference method in genome-wide epigenetic studies

Author:

Shen Jincheng1,Schwartz Joel2,Baccarelli Andrea A.3,Lin Xihong4

Affiliation:

1. Department of Population Health Sciences, University of Utah School of Medicine

2. Departments of Environmental Health, Harvard T.H. Chan School of Public Health

3. Departments of Environmental Health Sciences and Epidemiology, Columbia University, Mailman School of Public Health

4. Department of Biostatistics, Harvard T. H. Chan School of Public Health

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference46 articles.

1. Lepeule, J., Baccarelli, A., Tarantini, L., Motta, V., Cantone, L., Litonjua, A. A., Sparrow, D., Vokonas, P. S. and Schwartz, J. (2012). Gene promoter methylation is associated with lung function in the elderly: The normative aging study. Epigenetics 7 261–269.

2. LIU, D., LIN, X. and GHOSH, D. (2007). Semiparametric regression of multidimensional genetic pathway data: Least-squares kernel machines and linear mixed models. Biometrics 63 1079–1088, 1311.

3. VANDERWEELE, T. J. and VANSTEELANDT, S. (2009). Conceptual issues concerning mediation, interventions and composition. Stat. Interface 2 457–468.

4. Robins, J. M. and Greenland, S. (1992). Identifiability and exchangeability for direct and indirect effects. Epidemiology 3 143–155.

5. BIBIKOVA, M., BARNES, B., TSAN, C., HO, V., KLOTZLE, B., LE, J. M., DELANO, D., ZHANG, L., SCHROTH, G. P. et al. (2011). High density DNA methylation array with single CpG site resolution. Genomics 98 288–295.

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