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LT-FGRS: a unifying R-package for the estimation of family-based genetic liabilities at population-scale
Emil M Pedersen1,2, Jette Steinbach1, Mathias Valstad3
1National Centre for Register-Based Research, Aarhus University, Denmark.
None:
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.
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