The alleHap package is designed for imputing genetic missing data and reconstruct non recombinant haplotypes from pedigree databases in a deterministic way. When genotypes of related individuals are available in a number of linked genetic markers, the program starts by identifying haplotypes compatible with the observed genotypes in those markers without missing values. If haplotypes are identified in parents or offspring, missing alleles can be imputed in subjects containing missing values. Several scenarios are analyzed: family completely genotyped, children partially genotyped and parents completely genotyped, children fully genotyped and parents containing entirely or partially missing genotypes, and founders and their offspring both only partially genotyped. The alleHap package also has a function to simulate pedigrees including all these scenarios. This article describes in detail how our package works for the desired applications, including illustrated explanations and easily reproducible examples.
haplo.ccs, haplo.stats, hsphase, linkim, rrBLUP, synbreed, alleHap
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For attribution, please cite this work as
Medina-Rodríguez & Santana, "The R Journal: Allele Imputation and Haplotype Determination from Databases Composed of Nuclear Families", The R Journal, 2017
BibTeX citation
@article{RJ-2017-057,
author = {Medina-Rodríguez, Nathan and Santana, Ángelo},
title = {The R Journal: Allele Imputation and Haplotype Determination from Databases Composed of Nuclear Families},
journal = {The R Journal},
year = {2017},
note = {https://doi.org/10.32614/RJ-2017-057},
doi = {10.32614/RJ-2017-057},
volume = {9},
issue = {2},
issn = {2073-4859},
pages = {35-55}
}