Dissection of additive genetic variability for quantitative traits in chickens using SNP markers

R. Abdollahi-Arpanahi, A. Pakdel, A. Nejati-Javaremi, M. Moradi Shahrbabak, Gota Morota, B. D. Valente, A. Kranis, G. J.M. Rosa, D. Gianola

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Summary: The aim of this study was to separate marked additive genetic variability for three quantitative traits in chickens into components associated with classes of minor allele frequency (MAF), individual chromosomes and marker density using the genomewide complex trait analysis (GCTA) approach. Data were from 1351 chickens measured for body weight (BW), ultrasound of breast muscle (BM) and hen house egg production (HHP), each bird with 354 364 SNP genotypes. Estimates of variance components show that SNPs on commercially available genotyping chips marked a large amount of genetic variability for all three traits. The estimated proportion of total variation tagged by all autosomal SNPs was 0.30 (SE 0.04) for BW, 0.33 (SE 0.04) for BM, and 0.19 (SE 0.05) for HHP. We found that a substantial proportion of this variation was explained by low frequency variants (MAF <0.20) for BW and BM, and variants with MAF 0.10-0.30 for HHP. The marked genetic variance explained by each chromosome was linearly related to its length (R2 = 0.60) for BW and BM. However, for HHP, there was no linear relationship between estimates of variance and length of the chromosome (R2 = 0.01). Our results suggest that the contribution of SNPs to marked additive genetic variability is dependent on the allele frequency spectrum. For the sample of birds analysed, it was found that increasing marker density beyond 100K SNPs did not capture additional additive genetic variance.

Original languageEnglish (US)
Pages (from-to)183-193
Number of pages11
JournalJournal of Animal Breeding and Genetics
Volume131
Issue number3
DOIs
StatePublished - Jan 1 2014

Fingerprint

breast muscle
quantitative traits
gene frequency
Single Nucleotide Polymorphism
egg production
Dissection
hens
Chickens
Gene Frequency
Ovum
chickens
Breast
genetic variation
body weight
Body Weight
genetic variance
Muscles
chromosomes
Birds
Chromosomes

Keywords

  • Genomic relationships
  • Genomic variance
  • Marker density
  • Minor allele frequency

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology

Cite this

Abdollahi-Arpanahi, R., Pakdel, A., Nejati-Javaremi, A., Moradi Shahrbabak, M., Morota, G., Valente, B. D., ... Gianola, D. (2014). Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. Journal of Animal Breeding and Genetics, 131(3), 183-193. https://doi.org/10.1111/jbg.12079

Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. / Abdollahi-Arpanahi, R.; Pakdel, A.; Nejati-Javaremi, A.; Moradi Shahrbabak, M.; Morota, Gota; Valente, B. D.; Kranis, A.; Rosa, G. J.M.; Gianola, D.

In: Journal of Animal Breeding and Genetics, Vol. 131, No. 3, 01.01.2014, p. 183-193.

Research output: Contribution to journalArticle

Abdollahi-Arpanahi, R, Pakdel, A, Nejati-Javaremi, A, Moradi Shahrbabak, M, Morota, G, Valente, BD, Kranis, A, Rosa, GJM & Gianola, D 2014, 'Dissection of additive genetic variability for quantitative traits in chickens using SNP markers', Journal of Animal Breeding and Genetics, vol. 131, no. 3, pp. 183-193. https://doi.org/10.1111/jbg.12079
Abdollahi-Arpanahi R, Pakdel A, Nejati-Javaremi A, Moradi Shahrbabak M, Morota G, Valente BD et al. Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. Journal of Animal Breeding and Genetics. 2014 Jan 1;131(3):183-193. https://doi.org/10.1111/jbg.12079
Abdollahi-Arpanahi, R. ; Pakdel, A. ; Nejati-Javaremi, A. ; Moradi Shahrbabak, M. ; Morota, Gota ; Valente, B. D. ; Kranis, A. ; Rosa, G. J.M. ; Gianola, D. / Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. In: Journal of Animal Breeding and Genetics. 2014 ; Vol. 131, No. 3. pp. 183-193.
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