Thus, while the incorporation of information from the SNP50 chip increased reliability of DPR by 17% in Holsteins, this improvement was one of the lowest of the 12 traits examined. One possible way to improve the accuracy of genomic estimates of fertility is to incorporate thenthereby SNPs for specific genes involved in reproduction into SNP panels. The bo vine genome contains over 20,000 genes, and over 14,000 of those do not contain a single SNP on the BovineSNP50 chip. Incorporation of candidate gene SNPs into genomic tests for reproduction would allow selection of causative SNPs or SNPs physically more close to causative SNPs. Such an approach has been suc cessful for improving ability to detect genomic associa tions with disease. Many genes have been associated with reproduction in the dairy cow.

Among these are SNPs related to in vitro fertilization or development, such as STAT5A, FGF2 and PGR DPR, sire conception rate including STAT5A, FGF2, and ITGB5, calving interval, superovulation response, twinning rate and incidence of still birth. In beef cattle, SNPs related to reproductive Dacomitinib function include those in HSPA1A, associated with calving rate, and PAPPA2, associated with calving interval. The previously mentioned SNPs only represent a small portion of the genes involved in reproductive processes. Recent studies have revealed genes whose expression in tissues or cells of importance to reproduction vary with reproductive status, these genes are candidates for containing SNPs that impact fertility.

For example, genes were identified that were differentially regulated in the brain of cows displaying strong estrus compared to those displaying weak estrus, in the endometrium of heifers which produced viable embryos compared to those which produced non viable embryos, and in biopsies from embryos that selleck chemical Gefitinib resulted in live calves as compared to embryos that died following embryo trans fer. Genetic variants in the genes differentially expressed in the aforementioned studies and others may be responsible for differences in fertility among animals. The goal of the current study was to identify SNPs in candidate genes affecting reproductive processes. The approach was to evaluate effectiveness of SNPs in candi date genes for explaining genetic variation in DPR. Three types of SNPs were evaluated, SNPs previously reported to be associated with reproductive traits of dairy or beef cattle or physically close to genetic markers for reproduction, SNPs in genes that are well known to be involved in reproductive processes, and SNPs in genes reported to be differentially expressed between physiological conditions in a variety of tissues associated in reproductive function. As an additional goal, SNPs were also evaluated for their relationship to other traits.