Trees Assembling Mann-Whitney Approach for Detecting Genome-Wide Joint Association Among Low-Marginal-Effect Loci
Version of Record online: 7 NOV 2012
© 2012 WILEY PERIODICALS, INC.
Volume 37, Issue 1, pages 84–91, January 2013
How to Cite
Wei, C., Schaid, D. J. and Lu, Q. (2013), Trees Assembling Mann-Whitney Approach for Detecting Genome-Wide Joint Association Among Low-Marginal-Effect Loci. Genet. Epidemiol., 37: 84–91. doi: 10.1002/gepi.21693
- Issue online: 14 DEC 2012
- Version of Record online: 7 NOV 2012
- Manuscript Accepted: 28 SEP 2012
- Manuscript Revised: 17 JUL 2012
- Manuscript Received: 27 APR 2012
- Wellcome Trust under award. Grant Number: 076113
- National Institute of Dental and Craniofacial Research under Award. Grant Number: R03DE022379
Disclaimer: Supplementary materials have been peer-reviewed but not copyedited.
Table S1. Settings for simulation I.
Table S1.1. Settings for single locus effect.
Table S1.2. Settings for two-way multiplicative interaction.
Table S1.3. Settings for two-way threshold interaction.
Table S1.4. Settings for three-way interaction.
Table S2. Settings for simulation II.
Table S2.1. Settings for two-way multiplicative effect model.
Table S2.2. Settings for two-way no-marginal-effect interaction.
Table S2.3. Settings for two-way one-marginal-effect interaction.
Table S3. Analysis for the 29 previously reported SNPs.
Table S4. Analysis for CD GWAS data.
Figure S1. Standard Z converges as the number of trees increases in the genome-wide joint association analysis.
Figure S2. Q-Q plots of P-values generated under null hypothesis (i.e., no association) in simulation I.
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