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Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer

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...

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Autores principales: Seabury, Christopher M., Oldeschulte, David L., Bhattarai, Eric K., Legare, Dhruti, Ferro, Pamela J., Metz, Richard P., Johnson, Charles D., Lockwood, Mitchell A., Nichols, Tracy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144088/
https://www.ncbi.nlm.nih.gov/pubmed/32122960
http://dx.doi.org/10.1534/g3.119.401002
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author Seabury, Christopher M.
Oldeschulte, David L.
Bhattarai, Eric K.
Legare, Dhruti
Ferro, Pamela J.
Metz, Richard P.
Johnson, Charles D.
Lockwood, Mitchell A.
Nichols, Tracy A.
author_facet Seabury, Christopher M.
Oldeschulte, David L.
Bhattarai, Eric K.
Legare, Dhruti
Ferro, Pamela J.
Metz, Richard P.
Johnson, Charles D.
Lockwood, Mitchell A.
Nichols, Tracy A.
author_sort Seabury, Christopher M.
collection PubMed
description 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 ([Formula: see text] 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.
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spelling pubmed-71440882020-04-14 Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer Seabury, Christopher M. Oldeschulte, David L. Bhattarai, Eric K. Legare, Dhruti Ferro, Pamela J. Metz, Richard P. Johnson, Charles D. Lockwood, Mitchell A. Nichols, Tracy A. G3 (Bethesda) Investigations 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 ([Formula: see text] 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. Genetics Society of America 2020-03-02 /pmc/articles/PMC7144088/ /pubmed/32122960 http://dx.doi.org/10.1534/g3.119.401002 Text en Copyright © 2020 Seabury et al. http://creativecommons.org/license/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Seabury, Christopher M.
Oldeschulte, David L.
Bhattarai, Eric K.
Legare, Dhruti
Ferro, Pamela J.
Metz, Richard P.
Johnson, Charles D.
Lockwood, Mitchell A.
Nichols, Tracy A.
Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title_full Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title_fullStr Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title_full_unstemmed Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title_short Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer
title_sort accurate genomic predictions for chronic wasting disease in u.s. white-tailed deer
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144088/
https://www.ncbi.nlm.nih.gov/pubmed/32122960
http://dx.doi.org/10.1534/g3.119.401002
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