Ritable: Pedigree-Based Heritability Estimation for Family Cohort Studies

Provides profile-likelihood and general maximum-likelihood variance-components estimation of narrow-sense heritability (h2), household/common-environment effects (c2), and bivariate genetic and environmental correlations for quantitative traits in family cohort and twin studies. Additive genetic relationship matrices are built from pedigrees via 'kinship2', including monozygotic-twin relatedness overrides. Phenotypes are inverse-normal transformed internally. Likelihood-ratio tests use a one-sided chi-squared boundary correction equivalent to SOLAR Eclipse. Ninety-five percent confidence intervals are derived from the profile likelihood rather than Wald approximations. Batch estimation over many traits or trait pairs returns tidy data frames ready for downstream visualisation (forest plots, heatmaps) and includes Benjamini-Hochberg FDR correction for bivariate correlation batches.

See also

Useful links:

• https://r-itable.circadia-lab.uk

• https://github.com/circadia-bio/R-itable

• Report bugs at https://github.com/circadia-bio/R-itable/issues

Author

Maintainer: Lucas França lucas.franca@northumbria.ac.uk (ORCID)

Authors:

• Lucas França lucas.franca@northumbria.ac.uk (ORCID)

• Mario Leocadio-Miguel mario.miguel@northumbria.ac.uk (ORCID)