Abstract
Reproductive traits are often genetically correlated. Yet, we don’t fully understand the complexities, synergism, or trade-offs between male and female fertility. Here, we introduce correlation scan, a novel framework for identifying the drivers or antagonizers of the genetic correlation between male and female fertility traits across the bovine genome. The identification of these regions facilitates the understanding of the complexity of these traits. Although the methodology was applied to cattle phenotypes, using high-density SNP genotypes, the general framework developed can be applied to any species or traits, and it can easily accommodate genome sequence data.
Competing Interest Statement
The authors have declared no competing interest.
Abbreviations
- AGECL
- Age at first corpus luteum
- BB
- Brahman
- BTA
- Bovine chromosome
- GBLUP
- Genomic Best Linear Unbiased Prediction
- GEBV
- Genomic estimated breeding values
- IGF1b
- Serum levels of insulin growth hormone measured in bulls at 6-months of age
- IGF1c
- Serum levels of insulin growth hormone measured in bulls at 18-months of age
- IPA
- Ingenuity Pathway Analysis
- LD
- Linkage Disequilibrium
- QTL
- Quantitative Trait Loci
- R
- Correlation estimate
- SNP
- Single Nucleotide Polymorphism
- TC
- Tropical Composite
Copyright
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.