Heritability Estimate

Container for univariate heritability estimation results. Holds global, local, and annotation-stratified estimates.

Slots

estimate

Numeric, global SNP heritability estimate.

estimateSe

Numeric, standard error of global h2.

intercept

Numeric, confounding intercept estimate (NA if method does not estimate one).

interceptSe

Numeric, SE of intercept.

localBlocks

A data.frame with per-block local heritability estimates (columns: blockId, h2Local, h2LocalSe). NULL if local = FALSE.

enrichment

A data.frame of per-annotation enrichment results, NULL if unstratified. Two shapes are possible, depending on which route produced the estimate:

partitioned

tau-based enrichment of the baseline annotations (computeBaselineEnrichment, .gldscEnrichmentDf), with columns annotation, tau, tauSe, enrichment, enrichmentSe, enrichmentP, propH2, propSnps.

score test

the score test over the tested (candidate) annotations, with columns annotation, scoreZ, scoreP.

annotationJackknifeCoefs

A numeric matrix (nBlocks x n_annotations) of per-block jackknife tau values. Required for Gazal tauStar standardization downstream. NULL if not available (e.g., unstratified analysis).

scoreStats

A list with score statistics for candidate annotations, suitable for input to susieRss. Contains:

z

Numeric vector of z-scores for each candidate annotation

R

Correlation matrix of the score statistics

annotationNames

Character vector of candidate annotation names

NULL if no candidate annotations provided.

method

Character string identifying the estimation method.

nSnps

Integer, number of SNPs used in estimation.

traitName

Character string for trait identifier.