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Zexi Cai

The application of mixed linear models for the estimation of functional effects on bovine stature based on SNP summary

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  • Krzysztof Kotlarz, Wroclaw University of Environmental and Life Sciences, Poland
  • Barbara Kosinska-Selbi, Wroclaw University of Environmental and Life Sciences
  • ,
  • Zexi Cai
  • Goutam Sahana
  • Joanna Szyda, Wroclaw University of Environmental and Life Sciences, National Research Institute of Animal Production, Krakow, Poland
Genome-Wide Association Studies (GWAS) help identify polymorphic sites or genes linked to phenotypic variance, but a few genes / SNPs are unlikely to explain the phenotypic variability of complex traits. In the study, the focus was moved from single loci to functional units, expressed by the metabolic pathways (KEGG). Consequently, this study aimed to estimate KEGG effects on stature in three Nordic dairy cattle breeds using SNPs effects from GWAS as the dependent variable. The SNPs were annotated to genes, then the genes to KEGG pathways.
The effects of KEGG were estimated separately for each breed using a mixed linear model incorporating the similarity between pathways expressed by common genes. The analysis yielded two conclusions: a single gene in a pathway's component may have a large impact on the pathway's overall effect or the high pathway effect may be due to the influence of many genes constituting the pathway.
Original languageEnglish
Title of host publicationWCGALP 2022 Programme book
Number of pages4
PublisherWageningen Academic Publishers
Publication yearJul 2022
Publication statusPublished - Jul 2022
EventWorld Congress on Genetics Applied to Livestock Production - Rotterdam, Netherlands
Duration: 3 Jul 20228 Jul 2022
Conference number: 12


ConferenceWorld Congress on Genetics Applied to Livestock Production

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