synSNP: Synthetic genetic association study data set

In SMLE: Joint Feature Screening via Sparse MLE

Synthetic genetic association study data set

Description

This simulated data set consists of 10,031 genetic variants (SNPs) and a continuous response variable measured on 800 individuals. The genotypes were sampled from genotypic distributions derived from the 1000 Genomes project using the R package sim1000G. The genotype is coded as 0, 1, or 2 by counting the number of minor alleles (the allele that is less common in the sample). The continuous response variable was simulated from a normal distribution with mean that depends additively on the causal SNPs.

Usage

data(synSNP)

Format

An object of class 'data.frame' with 800 rows and 10,032 columns.

References

The 1000 Genomes Project Consortium (2015). Global reference for human genetic variation, Nature, 526(7571), 68-74.s

Examples

data(synSNP)
Y_SNP <- synSNP[,1]
X_SNP <- synSNP[,-1]
fit <- SMLE(Y = Y_SNP, X = X_SNP, k = 40)
summary(fit)
plot(fit)

SMLE documentation built on Jan. 22, 2023, 1:55 a.m.