umxGSEM_sim_snps: Simulate GWAS Summary Statistics for Genomic SEM

In umx: Structural Equation Modeling and Twin Modeling in R

Simulate GWAS Summary Statistics for Genomic SEM

Description

Generates a simulated summary statistics dataset (SNPs) suitable for testing umxGSEM_GWAS.

Usage

umxGSEM_sim_snps(n = 1e+06, traits = c("SCZ", "BIP", "MDD"), seed = 42)

Arguments

n	Number of SNPs to simulate. Default is 1,000,000.
traits	A character vector of traits to generate betas and SEs for.
seed	Random seed for reproducibility.

Value

A data.frame with columns for SNP, CHR, BP, A1, A2, MAF, and beta.[trait]/se.[trait] for each trait.

See Also

Other Data Functions: noNAs(), prolific_anonymize(), prolific_check_ID(), prolific_read_demog(), prolific_scoring_stub(), umx, umxFactor(), umxHetCor(), umx_as_numeric(), umx_cont_2_quantiles(), umx_lower2full(), umx_make_GxE_data(), umx_make_MR_data(), umx_make_TwinData(), umx_make_fake_data(), umx_make_raw_from_cov(), umx_merge_randomized_columns(), umx_polychoric(), umx_polypairwise(), umx_polytriowise(), umx_read_lower(), umx_rename(), umx_reorder(), umx_score_scale(), umx_select_valid(), umx_stack(), umx_strings2numeric()

Examples

snps = umxGSEM_sim_snps(n = 1000, traits = c("SCZ", "BIP", "MDD"))
head(snps)

umx documentation built on Oct. 11, 2026, 5:07 p.m.