Extract planned marker, QTL, GWAS, and eQTL results — marker

Usage

marker_effects(object, ...)

marker_variance_explained(object, ...)

qtl_table(object, ...)

gwas_table(object, ...)

eqtl_table(object, ...)

lod_scores(object, ...)

Arguments

object: A fitted model object.
...: Reserved for future arguments.

Value

The requested marker or scan result for hsquared_fit objects that contain the corresponding field.

Details

These extractor names cover genomic, QTL, GWAS, and eQTL fitted results. They return values only when an hsquared_fit object contains the corresponding result field. marker_effects() and marker_variance_explained() are populated by the opt-in SNP-BLUP path (target = "snp_blup"). The variance-explained table is a descriptive fitted-marker share, computed as effect squared times centered marker variance and normalized across markers; it is not a marker-scan p-value, QTL statistic, or causal decomposition under linkage disequilibrium. The gwas_table() and lod_scores() methods for an already-computed hs_gwas object expose the current uncalibrated marker-scan table and marker-level LOD scores. Fit-level QTL/GWAS/eQTL result tables and map-annotated / calibrated scan outputs remain reserved for future results.