ArticleArchives animal breeding2019
Selection signature analysis reveals genes underlying sheep milking performance.
Article in Archives animal breeding, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Genome sequencing reveals genes under selection for olfactory transduction in highland sheep.Molecular genetics and genomics : MGG · 2026Article
- Comparative detection of selection signatures in indigenous and crossbred Turkish sheep breeds.Scientific reports · 2025Article
- Genome-wide study for signatures of selection identifies genomic regions and candidate genes associated with milk traits in sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Article
- Detection of candidate genes affecting milk production traits in sheep using whole-genome sequencing analysis.Veterinary medicine and science · 2022Article
- Whole-genome resequencing reveals genetic diversity and selection characteristics of dairy goat.Frontiers in genetics · 2022Article
- Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits.Frontiers in genetics · 2021Article
- Using High-Density SNP Array to Reveal Selection Signatures Related to Prolificacy in Chinese and Kazakhstan Sheep Breeds.Animals : an open access journal from MDPI · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sheep milk is the most important feed resource for newborn lambs and an important food resource for humans. Sheep milk production and ingredients are influenced by genetic and environmental factors. In this study, we implemented selection signature analysis using Illumina Ovine SNP50 BeadChip data of 78 meat Lacaune and 103 milk Lacaune sheep, which have similar genetic backgrounds, from the Sheep HapMap project to identify candidate genes related to ovine milk traits. Since different methods can detect different variation types and complement each other, we used a haplotype-based method (hapFLK) to implement selection signature analysis. The results revealed six selection signature regions showing signs of being selected (
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Registered trials
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