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Computes gene-wise interaction statistics using limma for the difference in group effects between ancestries (ancestry X minus ancestry Y), matching the logic of perm_interaction.

Usage

limma_interaction_effect(X, Y, MX, MY, g_col, a_col)

Arguments

X

Expression matrix for ancestry X. Rows = samples, columns = genes.

Y

Expression matrix for ancestry Y. Rows = samples, columns = genes.

MX

Metadata for X. Must include group and ancestry columns.

MY

Metadata for Y. Must include group and ancestry columns.

g_col

Name of the column indicating group.

a_col

Name of the column indicating ancestry.

Value

A list with:

summary_stats

A data.frame with gene-level interaction coefficients, p-values, FDR, and confidence intervals.

fit

The full limma model fit.

group_levels

Factor levels used for group variable.

ancestry_levels

Factor levels used for ancestry variable.

coef

Name of the interaction coefficient extracted.