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

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. Availability and ImplementationLT-FGRS is available as an R-package on CRAN. (https://CRAN.R-project.org/package=LTFGRS) Contactemp@au.dk; morten.dybdahl.krebs@regionh.dk Supplementary informationhttps://emilmip.github.io/LTFGRS