Roth, Katharina: Multivariate methods for genetic association testing for immune traits in maternal pig breeds. - Bonn, 2023. - Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Online-Ausgabe in bonndoc: https://nbn-resolving.org/urn:nbn:de:hbz:5-72722
@phdthesis{handle:20.500.11811/11093,
urn: https://nbn-resolving.org/urn:nbn:de:hbz:5-72722,
doi: https://doi.org/10.48565/bonndoc-142,
author = {{Katharina Roth}},
title = {Multivariate methods for genetic association testing for immune traits in maternal pig breeds},
school = {Rheinische Friedrich-Wilhelms-Universität Bonn},
year = 2023,
month = oct,

note = {In pig breeding immune traits are considered to serve as potential biomarkers for pig’s health-competence. A limited number of published studies indicate medium to high heritabilities (h2) for several immune traits. Genetic variance and covariance components of immune traits were estimated in chapter 3 to examine the quantitative genetic background of these traits. For this purpose, blood samples were collected for Landrace (LR) (n=611) and Large White (LW) (n=544) piglets and their biological dams (n=298, 272, respectively) in a short period around birth. Immune profile was covered by 22 traits including immune cells, red blood cell characteristics, and cytokines. Maternal impacts on piglet’s immune profile were investigated as well as close phenotypic and genetic-based relationships in a multivariate approach. Immune traits showed low to high breed-specific h2. Strong positive genetic correlations (rg) were estimated among red blood cell characteristics (0.77 to 0.99) as well as among cytokines (0.48 to 0.99). The litter impact on piglet’s immunity was examined and strengthened already observed breed differences. In LR h2 (0.22 to 0.15) and litter effect (c2) (0.52 to 0.44) for IFN-γ decreased after statistical consideration of maternal impact. In LW a decrease in h2 (0.32 to 0.18) for IFN-γ and an increase in c2(0.54 to 0.56) was observed.
The development of selection strategies requires deep investigations with appropriate statistical genome-wide association study approaches to explore the joint genetic foundation for health biomarkers. Consideration of previously established rg between immune traits were used to identify pleiotropic genetic markers. For this reason, several univariate (uv) and multivariate (mv) genetic association testing methods were applied on immune traits in chapter 4. Mv GWAS approaches detected 647 associations for different mv immune trait combinations that were summarized to 133 quantitative trait loci (QTL). SNPs for different trait combinations (n=66) were detected with more than one mv method. Most of these SNPs are associated with red blood cell related immune trait combinations. With uv methods shared markers were not observed between the breeds, whereas mv approaches were able to detect two conjoint SNPs for LR and LW.
Most immune traits are heritable and are promising to cover global breed-specific immunocompetence in animals. With uv and mv approaches, the joint genetic background of immune traits was demonstrated by revealing immune relevant potential candidate genes. Investigated traits can be used to gain a breeding-based health improvement in piglets whereby special attention has to be laid on the relationship between immunocompetence and further performance characteristics.},

url = {https://hdl.handle.net/20.500.11811/11093}
}

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