Data from: Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression

Zhao G, Marceau R, Zhang D, Tzeng J

Date Published: January 27, 2015

DOI: http://dx.doi.org/10.5061/dryad.742gv

 

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Title simulation data and code
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Description (1) The codes and relevant files for simulation studies can also be downloaded at http://www4.stat.ncsu.edu/~tzeng/Data/Genetics2014.GxE.binary/ (2) Code for simulations: • "simulation_code.sas" is the SAS code to perform the simulation, including data generation and analyses • "glmm_em_sim.sas" is the SAS macro to calculate the estimates of the variance component and covariate coefficients • "COSI_geno.zip" is the zipped version of "COSI_geno.csv", which contains the 10K haplotypes of 100 rare loci generated from COSI. From COSI_geno.csv, we randomly drew two haplotypes with replacement to form a subject’s genotype. (3) One replication of the simulated data (1500 subjects): • "simu.dataset1.Y.E.txt" contains the trait variable and the environmental variable • "simu.dataset1.geno.txt" contains the simulated genotypes
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When using this data, please cite the original publication:

Zhao G, Marceau R, Zhang D, Tzeng J (2015) Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Genetics 199(3): 695-710. http://dx.doi.org/10.1534/genetics.114.171686

Additionally, please cite the Dryad data package:

Zhao G, Marceau R, Zhang D, Tzeng J (2015) Data from: Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.742gv
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