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We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees.
DRD2 marker data on five families and PPP1R1B marker data on two families were excluded from the analyses due to identified Mendelian errors.
To examine the impact of imputing missing marker data on the accuracy of prediction of genomic selection, we simulated a scenario for a complex trait.
The increased availability of dense marker data on commercial chips has made it feasible to develop panels wherein the markers need not be predetermined.
We proposed and tested two novel criteria (MCA and MCG) for prioritizing animals for dense genotyping when the intended use of the dense genotyping is to impute the missing marker data on sparsely genotyped animals in a target population.
On the basis of marker data on 192 breeding lines from an elite six-row spring barley program, stochastic simulation was used to explore the effects of large or small initial training populations with heritabilities of 0.2 or 0.5, applying GS before or after phenotyping, and applying additional weight on low-frequency favorable marker alleles.
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Principal component analysis (PCA) on the marker data of the lines was performed by using the Genomic Association and Prediction Integrated Tool GAPITT) R package [ 40].
Inflammatory markers: Data on IL-6, IL-1b and ki67 could not be detected in all samples and no differences were observed when the two regions were compared (chi squared test).
These studies relied mainly on SSR marker data for the preparation of genetic maps and locating QTL on chromosomes.
Using real data on egg production and quality traits in layers, this study confirms that the accuracy of EBV based on dense marker data is on average higher than that based on pedigree.
Most studies based on genome-wide marker data rely on the assumption that a marker and the locus affecting the trait are in LD, therefore, in the last generation, the average LD value is calculated for selected SNP with the highest minor allele frequency.
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