Article3 Biotech2019
Genetic architecture related to contour feathers density in an F
Article in 3 Biotech, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Genetic Basis of Egg Production in Baicheng-You Chickens: A Genome-Wide Association Study.Animals : an open access journal from MDPI · 2025Article
- Transcriptome and Weighted Gene Co-Expression Network Analysis for Feather Follicle Density in a Chinese Indigenous Breed.Animals : an open access journal from MDPI · 2024Article
- Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The density of contour feathers is an important trait as it is closely related to heat dissipation in birds. Thus, identification of the major genes that control this trait will be useful to improve heat tolerance in chicken. So far, no GWAS study for the density of contour feathers in birds has been previously published; therefore, this study was aimed to identify genomic regions controlling the density of contour feathers. A total of 1252 hens were genotyped, using the 600 K Affymetrix Axiom Chicken Genotyping Array. The association analyses were performed using the GenABEL package in the R program. In brief, 146 significant SNP markers were mainly located on chromosome 1 and were identified to associate with the density of contour feathers in the current GWAS analysis. Moreover, we identified several within/nearby candidate genes (
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