Sign in
GeneticsbioRxiv
Preprint

Correlation scan: identifying genomic regions that affect genetic correlations applied to fertility traits

Babatunde Shittu OlasegeiD, Laercio R. Porto NetoiD, Muhammad S. TahiriD, Gabriela Canabrava GouveiaiD, Ángela CánovasiD, Ben J. HayesiD, Marina R. S. FortesiD

Abstract

Reproductive traits are often genetically correlated. Yet, we dont 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.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISMapel '24Marrella '24Cuyabano '25Hiltpold '21Border '22Tielbeek '18
60% semantic matchGenomics
Xena Marie Mapel, Naveen Kumar Kadri, Alexander S. Leonard+5 more·Nature Communications·Jan 22, 2024· 28 citations