Parent-offspring genotyped trios unravelling genomic regions with gametic and genotypic epistatic transmission bias on the cattle genome
- PMID: 37091801
- PMCID: PMC10117652
- DOI: 10.3389/fgene.2023.1132796
Parent-offspring genotyped trios unravelling genomic regions with gametic and genotypic epistatic transmission bias on the cattle genome
Abstract
Several biological mechanisms affecting the sperm and ova fertility and viability at developmental stages of the reproductive cycle resulted in observable transmission ratio distortion (i.e., deviation from Mendelian expectations). Gene-by-gene interactions (or epistasis) could also potentially cause specific transmission ratio distortion patterns at different loci as unfavorable allelic combinations are under-represented, exhibiting deviation from Mendelian proportions. Here, we aimed to detect pairs of loci with epistatic transmission ratio distortion using 283,817 parent-offspring genotyped trios (sire-dam-offspring) of Holstein cattle. Allelic and genotypic parameterization for epistatic transmission ratio distortion were developed and implemented to scan the whole genome. Different epistatic transmission ratio distortion patterns were observed. Using genotypic models, 7, 19 and 6 pairs of genomic regions were found with decisive evidence with additive-by-additive, additive-by-dominance/dominance-by-additive and dominance-by-dominance effects, respectively. Using the allelic transmission ratio distortion model, more insight was gained in understanding the penetrance of single-locus distortions, revealing 17 pairs of SNPs. Scanning for the depletion of individuals carrying pairs of homozygous genotypes for unlinked loci, revealed 56 pairs of SNPs with recessive epistatic transmission ratio distortion patterns. The maximum number of expected homozygous offspring, with none of them observed, was 23. Finally, in this study, we identified candidate genomic regions harboring epistatic interactions with potential biological implications in economically important traits, such as reproduction.
Keywords: Holstein; allelic and genotypic parameterizations; epistasis; genotyped trios; transmission ratio distortion.
Copyright © 2023 Id-Lahoucine, Casellas, Miglior, Schenkel and Cánovas.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
-
- Ballinger M. A., Noor M. A. F. (2018). Are lethal alleles too abundant in humans? 2018. Trends Genet. 34, 87–89. - PubMed
-
- Bateson W. (1909). “Heredity and variation in modern lights,” in Darwin and modern science. Editor Seward A. C. (Cambridge, MA, United Kingdom: Cambridge University Press; ), 85–10.
-
- Behrouzi P., Wit E. C. (2018). Detecting epistatic selection with partially observed genotype data by using copula graphical models. J. R. Stat. Soc. C 68, 141–160. 10.1111/rssc.12287 - DOI
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