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Data from: Accurate genomic predictions for chronic wasting disease in U.S. white-tailed deer

Citation

Seabury, Christopher M. et al. (2020), Data from: Accurate genomic predictions for chronic wasting disease in U.S. white-tailed deer, Dryad, Dataset, https://doi.org/10.5061/dryad.xd2547dcw

Abstract

The geographic expansion of chronic wasting disease (CWD) in U.S. white-tailed deer (Odocoileus virginianus) has been largely unabated by best management practices, diagnostic surveillance, and depopulation of positive herds. Using a custom Affymetrix Axiom® single nucleotide polymorphism (SNP) array, we demonstrate that both differential susceptibility to CWD, and natural variation in disease progression, are moderately to highly heritable ( among farmed U.S. white-tailed deer, and that loci other than PRNP are involved. Genome-wide association analyses using 123,987 quality filtered SNPs for a geographically diverse cohort of 807 farmed U.S. white-tailed deer (n = 284 CWD positive; n = 523 CWD non-detect) confirmed the prion gene (PRNP; G96S) as a large-effect risk locus (P-value < 6.3E-11), as evidenced by the estimated proportion of phenotypic variance explained (PVE ≥ 0.05), but also demonstrated that more phenotypic variance was collectively explained by loci other than PRNP. Genomic best linear unbiased prediction (GBLUP; n = 123,987 SNPs) with k-fold cross validation (k = 3; k = 5) and random sampling (n = 50 iterations) for the same cohort of 807 farmed U.S. white-tailed deer produced mean genomic prediction accuracies ≥ 0.81; thereby providing the necessary foundation for exploring a genomically-estimated CWD eradication program.

Usage Notes

The geographic expansion of chronic wasting disease (CWD) in U.S. white-tailed deer has been largely unabated by best management practices, diagnostic surveillance, and depopulation of positive herds.  Using a custom SNP array, we show that differential susceptibility to CWD is heritable, and that loci other than PRNP are involved.  Genomic prediction with k-fold cross validation for a geographically diverse cohort of farmed U.S. white-tailed deer produced prediction accuracies ≥ 0.81.