Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds

Abstract Background A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction. Here, we hypothesized that the genomic variants of complex traits might be enriched in a subset of genomic...

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Bibliographic Details
Main Authors: Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter Sørensen
Format: Article
Language:English
Published: BioMed Central 2017-08-01
Series:BMC Genomics
Subjects:
Genomic feature model
Genomic prediction
Genetic architecture
Gene ontology
Post-GWAS
Milk production
Online Access:http://link.springer.com/article/10.1186/s12864-017-4004-z

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http://link.springer.com/article/10.1186/s12864-017-4004-z

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