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Phasing quality assessment in a brown layer population through family- and population-based software
N Frioni1, D Cavero2, H Simianer3
1Animal Breeding and Genetics Group, Department of Animal Sciences, Center for Integrated Breeding Research, University of Goettingen, Göttingen, Germany. nicolas.frioni-garcia@uni-goettingen.de.
High-quality haplotype phasing in poultry is crucial for genomic selection. Beagle v4.1 and FImpute with pedigree data offer the best accuracy when at least one parent is genotyped.
Area of Science:
- Animal Genetics
- Bioinformatics
- Genomic Selection
Background:
- Haplotype data offers richer insights than genotype data for genetic analyses.
- Phasing quality is critical but understudied, especially in poultry populations.
- This study addresses the lack of poultry-specific phasing evaluations.
Purpose of the Study:
- To evaluate and compare the phasing accuracy of FImpute and Beagle software.
- To assess phasing performance under varying pedigree information.
- To identify optimal software for high-quality haplotype phasing in layer populations.
Main Methods:
- Simulated a layer population (888 individuals, 12 generations) using real SNP data.
- Analyzed chromosomes 1, 7, and 20.
- Compared Beagle (v3.3, v4.1) and FImpute (v2.2 with/without pedigree) based on equal phasing percentage (Eqp), complete phasing, breakpoints (Bkp), and segment length.
Main Results:
- Eqp values ranged from 88-100%, with Beagle v4.1 and FImpute (with pedigree) showing superior performance.
- Best results were achieved when at least one parent was genotyped.
- FImpute exhibited more breakpoints, resulting in shorter switched haplotype segments compared to Beagle.
Conclusions:
- Beagle v4.1 and FImpute (with pedigree) are recommended for high-quality haplotype phasing in this poultry dataset.
- Availability of parental genotype data significantly improves phasing accuracy.
- This research provides essential benchmarks for poultry genomic studies.
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