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)
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.
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