De . Antibodies and longevity of dairy cattle: genetic analysis. PhD thesis, Wageningen University, the Netherlands In dairy cattle longevity is an important trait. Longevity is strongly related to disease resistance, since a more healthy cow is expected to realize a longer productive life (longevity). Information on longevity records, however, can only be measured after an animal has been culled. Therefore, predictors of longevity traits are needed in order to breed for improved longevity. This thesis aimed to gain more knowledge and genetic background on (natural) antibodies as predictors for longevity. Both natural antibody-and specific antibody levels were studied. Antibody binding the naive antigen KLH was assumed to be natural antibody. Antibodies binding bacteria-derived antigens LTA, LPS and PGN were assumed to be specific antibodies. It was shown that natural antibody levels measured in milk and blood are genetically high correlated (± 0.80) for the two studied isotypes (IgG and IgM). On the other hand, phenotypically, natural antibodies (from both IgG and IgM isotype) measured in milk cannot be interpreted as the same trait (phenotypic correlation = ± 0.40). Antibodies (both natural-and specific antibodies) showed a negative relation with longevity: first lactation cows with low IgM or IgG levels were found to have a longer productive life. When using estimated breeding values for longevity, only a significant relation was found between natural antibody level (IgM binding KLH) and longevity. Lastly, this thesis reports on a genome-wideassociation study (GWAS), to detect genes contributing to genetic variation in natural antibody level. For natural antibody isotype IgG, genomic regions with a significant association were found on chromosome 21 (BTA). These regions included genes that play an important role in isotype class switching (from IgM to IgG). The gained knowledge on relations between antibodies and longevity and the gained insight on genes responsible for natural antibodies level make antibodies potential predictors for longevity.