Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits

BMC Genomics

Volumn 17, Issue 1, 2016, Pages

  MacLeod, I M ^a,b   Bowman, P J ^b,c   Vander Jagt, C J ^b   Haile Mariam, M ^b   Kemper, K E ^a,b   Chamberlain, A J ^b   Schrooten, C ^d   Hayes, B J ^b,c   Goddard, M E ^a,b  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b LA TROBE UNIVERSITY   (Australia)

^c LA TROBE UNIVERSITY   (Australia)

^d CRV   (Netherlands)

Author keywords

Bayesian analysis; Biological model; Dairy cattle; Genomic selection; Milk traits; Whole genome association analysis

Indexed keywords

ANIMAL EXPERIMENT; BAYES THEOREM; DNA STRUCTURE; GENE EXPRESSION; GENE FREQUENCY; GENETIC MARKER; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; MILK PRODUCTION; MODEL; MUTATION; NONHUMAN; PHENOTYPE; PREDICTION; SINGLE NUCLEOTIDE POLYMORPHISM; SPECIES; VALIDATION PROCESS; ANIMAL; BIOLOGICAL MODEL; BOVINE; FEMALE; GENOMICS; MALE; PROCEDURES; QUANTITATIVE TRAIT LOCUS;

ANIMALS; BAYES THEOREM; CATTLE; FEMALE; GENOMICS; GENOTYPE; MALE; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI;

EID: 85007564138     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-016-2443-6     Document Type: Article

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