Related Experiment Video
Updated: Jan 7, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
Combined pathway-based biomarker discovery and ESR2 gene, polymorphism analysis of litter size prediction in sheep
Arash Javanmard1, Mansour Yazdanyar2, Mahdi Ebrahimi3
1Department of Animal Science, Faculty of Agriculture, University of Tabriz, PO Box 5166616471, Tabriz, Iran.
Abstract:
By utilizing a comprehensive multi-modal approach that combined in silico modeling, in vitro molecular assays, in vivo microscopic observations, and on-farm phenotyping, we aimed to improve comprehension of the genetic architecture related to sheep litter size (LS). Our goal was to assess a T/C polymorphism (rs423810437) in the ovine Estrogen Receptor 2 (ESR2) gene and find potential LS biomarkers by applying network and circuit analysis. The sequencing of this polymorphism involved four populations, specifically the Romanov, Ghezel, Lori Bakhtiari, and their crossbreeds. With strong support for BMPR1B, GDF9, and ESR2, our analysis found more than ten candidate genes linked to LS. In purebred Romanov and Romanov-crossbred sheep, the ESR2 C allele was significantly correlated (p < 0.01) with increased LS. As our research suggests, the ESR2 polymorphism, among the identified candidate genes, is a valuable biomarker for litter size, offering understanding of follicular development in prolific sheep.

