Reference : Calculate relationships using pedigree and marker information – What to combine into ...
Scientific congresses and symposiums : Paper published in a book
Life sciences : Genetics & genetic processes
Life sciences : Animal production & animal husbandry
Calculate relationships using pedigree and marker information – What to combine into a single estimator?
Bömcke, Elisabeth [Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Szydlowski, Maciej [> >]
Gengler, Nicolas [Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Barcelona 2009
Book of Abstracts of the 60th Annual Meeeting of the European Association for Animal Production
Wageningen Academic Publishers
Nº. 15
60th Annual Meeting of the European Federation of Animal Science
24-27 August 2009
EAAP - European Federation of Animal Science
[en] genotyped estimated ; genetic markers ; linear regression
[en] The knowledge of relationships among individuals is an important topic in all fields of modern genetics, from selection to conservation. Estimation of relationships was traditionally based on pedigree data. Today, molecular data can replace pedigrees. Numerous methods already exist. However, genotyping a complete population for a sufficient number of markers can be impossible, e.g., in case of local and/or rare breeds. Therefore, the idea was to combine these 2 sources of information into a new single relationship estimator. Based on simulations, the aim of this study was to determine what could be combined. Following the principle that things have to be similar to be combined, we compared first two coefficients that have the advantage to be similarly defined: the additive relationship coefficient (axy) calculated from pedigrees and the total allelic relationship (taxy) obtained from markers. The similarity between these two coefficients was measured by means of linear regression and correlations. In order to highlight the influence of inbreeding, Wright relationship coefficient (rped,xy) were also compared to taxy transformed into rmol,xy. The results showed that the correlation increases when the values are made independent from inbreeding. If the pedigree coefficients are considered as the true value, both molecular coefficients tended to overestimate the relationship among individuals. It can be expected because they do not distinguish identical-by-state and identical-by-descendent alleles. The influence of marker quality was also highlighted. In all cases, the correlation coefficient increased when only the more informative loci were used. Uninformative genetic markers potentially making animals appear more related than they were.
Fonds pour la formation à la Recherche dans l'Industrie et dans l'Agriculture (Communauté française de Belgique) - FRIA
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