Family-specific genotype arrays increase the accuracy of pedigree based imputation at very low marker densities
Abstract
In this paper we evaluate the performance of using a family-specific low-density genotype arrays to increase the accuracy of pedigree based imputation. Genotype imputation is a widely used tool that decreases the costs of genotyping a population by genotyping the majority of individuals using a low-density array and using statistical regularities between the low-density and high-density individuals to fill in the missing genotypes. Previous work on population based imputation has found that it is possible to increase the accuracy of imputation by maximizing the number of informative markers on an array. In the context of pedigree based imputation, where the informativeness of a marker depends only on the genotypes of an individuals parents, it may be beneficial to select the markers on each low-density array on a family-by-family basis. In this paper we examined four family-specific low-density marker selection strategies, and evaluated their performance in the context of a real pig breeding dataset. We found that family-specific or sire-specific arrays could increase imputation accuracy by 0.11 at 1 marker per chromosome, by 0.027 at 25 markers per chromosome and by 0.007 at 100 markers per chromosome. These results suggest that there may be a room to use family-specific genotyping for very-low-density arrays particularly if a given sire or sire-dam pairing have a large number of offspring.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 9
- FWCI
- 0.75
- Field percentile
- top 30%
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A Multi-Breed Reference Panel and Additional Rare Variation Maximizes Imputation Accuracy in Cattle
Troy N. Rowan, Jesse L. Hoff, … Jared E. Decker·Genetics Selection EvolutionPeer-reviewed·Dec 1, 2019
- Accuracy of whole-genome sequence imputation using hybrid peeling in large pedigreed livestock populations
Roger Ros‐Freixedes, Andrew Whalen, … John M. Hickey·Genetics Selection EvolutionPeer-reviewed·Apr 6, 2020
- Sequence Imputation from Low Density Single Nucleotide Polymorphism Panel in a Black Poplar Breeding population
Marie Pégard, Odile Rogier, … Leopoldo Sánchez·BMC GenomicsPeer-reviewed·Apr 18, 2019
- Performance of genetic imputation across commercial crop species
S. Thorn, Andrew Whalen, … John M. Hickey·bioRxiv·Dec 1, 2021
- Imputation of Low-density Marker Chip Data in Plant Breeding: Evaluation of Methods Based on Sugar Beet
Tobias A. M. Niehoff, Torsten Pook, … Timothy M. Beissinger·The Plant GenomePeer-reviewed·Oct 18, 2022
- Best practices for analyzing imputed genotypes from low-pass sequencing in dogs
Reuben M. Buckley, Alex C. Harris, … Elaine A. Ostrander·Mammalian GenomePeer-reviewed·Sep 8, 2021