Related Experiment Video
Updated: May 9, 2026

06:57
Loop-mediated Isothermal Amplification (LAMP) Assays for the Species-specific Detection of Eimeria that Infect Chickens
Published on: February 20, 2015
Genome-wide association study for Marek's disease mortality in layer chickens
Anna Wolc1, Jesus Arango, Tomasz Jankowski
1Department of Genetic and Animal Breeding, Poznan University of Life Sciences, Wolynska Street 33, 60-637 Poznan, Poland. awolc@jay.up.pozman.pl
Avian Diseases
|August 2, 2013
Summary
This study identified specific genomic regions linked to Marek's disease virus resistance in chickens. These findings aid in selecting poultry for improved disease resilience.
Area of Science:
- Animal Genetics
- Poultry Science
- Disease Resistance
Background:
- Marek's disease virus (MDV) causes significant mortality in layer chickens.
- Genome-wide association studies (GWAS) are crucial for identifying genetic factors influencing disease resistance.
- Understanding the genetic basis of MDV resistance can improve poultry breeding strategies.
Purpose of the Study:
- To identify genomic regions associated with mortality from MDV infection in layer chickens using GWAS.
- To evaluate the effectiveness of Bayesian variable selection methods in detecting quantitative trait loci (QTL) for MDV resistance.
- To assess the impact of progeny group size on the accuracy of genomic region localization.
Main Methods:
- A genome-wide association study (GWAS) was conducted on 253 genotyped sires from a brown-egg layer line.
- Bayesian variable selection methods (BayesB and BayesCpi) were applied to single-nucleotide polymorphism (SNP) data.
- Mortality data from experimental MDV challenge were analyzed, with consideration for progeny group sizes.
- Genomic regions explaining the largest proportion of genetic variance were identified.
Main Results:
- Genetic markers explained approximately 11% of the phenotypic variation in MDV mortality.
- Specific genomic regions on chromosomes 2, 3, 4, 9, 15, 18, and 21 were significantly associated with MDV resistance.
- Weighting analyses by progeny group size improved the localization of associated genomic regions.
- Correlations between genomic estimated breeding values and progeny mortality ranged from 0.02 to 0.20.
Conclusions:
- Genomic regions on chromosomes 2, 3, 4, 9, 15, 18, and 21 are valuable targets for selection to enhance MDV resistance in layers.
- Accounting for progeny group size in GWAS analyses is critical for accurate identification of disease resistance loci.
- The identified genomic regions provide a foundation for marker-assisted selection programs in poultry breeding.
Related Concept Videos
Lethal Alleles
Agouti: A Lethal Allele
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...
Genome-wide Association Studies-GWAS
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
