LT-FGRS: a unifying R-package for the estimation of family-based genetic liabilities at population-scale

Authors

Pedersen, E. M., Steinbach, J., Valstad, M., Ohlsson, H., Rasmussen, L. A., Eilertsen, E. M., Kendler, K. S., Vilhjalmsson, B. J., Schork, A. J., Krebs, M. D.

Abstract

Estimates of per-individual genetic liability from large-scale family data are routinely used in biomedical research to describe genetic etiology of traits and disorders, boost the power of gene-mapping studies, and improve risk predictions. Here we present LT-FGRS, an R package for handling population-scale pedigrees and implementing multiple state-of-the-field methods for estimating genetic liability from such data. Benchmarking in population-scale Nordic registry data demonstrates that LT-FGRS reproduces estimates from existing implementations at manageable computational cost. LT-FGRS unifies previous parallel implementations into a single framework, lowering barriers for methodological comparison and applied use. LT-FGRS is available as an R-package on CRAN (https://CRAN.R-project.org/package=LTFGRS)

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 20 Jun 2026.

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