Using Bayes statistical method in identifying genetic factors affecting body weight at the final ages of growth in a population of mixed broiler chickens

Articles in Press

Document Type : Research Paper

Authors

1 Department of Animal Sciences, Agricultural Faculty, Tarbiat Modares University, Tehran, Iran

2 Department of Animal Science, Agricultural Faculty, Tarbiat Modares University, Tehran, Iran

10.22059/ijas.2024.379554.654021

Abstract

Body weight trait as a polygenic trait in animal breeding has a high impact on the profitability of poultry industry. For this reason, identifying the genetic loci associated with this trait is important. In typical GWAS, the analyses are based on the regression of single nucleotides on the observed phenotypes. In these methods, it is assumed that all genetic variables follow a normal statistical distribution which this is inconsistent with new findings about the role of some genomic loci. In contrast to these methods, in the Bayesian method it is possible to define more than one statistical distribution for the effects of variables. Therefore, the present study was performed to identify causal single nucleotide polymorphisms (SNPs) associated with body weight in 9, 10, 11 and 12 weeks of age, in an F2 crossbred chicken population between Arian line and native chickens of Azerbaijan province using BayesCpi methodology. Finally, 10 significant markers for body weight at different ages were identified. These SNPs are close to or within 8 genes and are distributed on 6 chromosomes. Of the above genes, 7 genes encode proteins and 1 ncRNA gene. To identify genes associated with each SNP in candidate regions, 0.5 Mb around each SNP was considered significant. Results can be used in genomic selection and marker or gene assisted selection to improve growth rate in chicken.

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Iranian Journal of animal Science

Articles in Press, Accepted Manuscript
Available Online from 03 December 2024

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History

  • Receive Date: 20 July 2024
  • Revise Date: 15 September 2024
  • Accept Date: 02 October 2024

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