QTL-mapping and genomic prediction for bovine respiratory disease in U.S. Holsteins using sequence imputation and feature selection

QTL-mapping and genomic prediction for bovine respiratory disease in U.S. Holsteins using sequence imputation and feature selection

Abstract Background National genetic evaluations for disease resistance do not exist, precluding the genetic improvement of cattle for these traits. We imputed BovineHD genotypes to whole genome sequence for 2703 Holsteins that were cases or controls for Bovine Respiratory Disease and sampled from e...

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Bibliographic Details
Main Authors: Jesse L. Hoff, Jared E. Decker, Robert D. Schnabel, Christopher M. Seabury, Holly L. Neibergs, Jeremy F. Taylor
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Genomics
Subjects:
Genomic prediction
Bovine respiratory disease
Genome sequence imputation
RNA-Seq
Quantitative trait locus
Feature selection
Online Access:http://link.springer.com/article/10.1186/s12864-019-5941-5

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http://link.springer.com/article/10.1186/s12864-019-5941-5

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