[Genome-wide association study of total number born and number born alive in pigs using both compressed mixed linear model and Bayes model]

Yi Chuan. 2012 Oct;34(10):1261-70. doi: 10.3724/sp.j.1005.2012.01261.
[Article in Chinese]

Abstract

GWAS (Genome-wide association study) strategy has been extensively used for identification of economical trait loci in livestock animals. Using Illumina's PorcineSNP60 BeadChip, a GWA study of 820 commercial pigs with reproductive traits recorded was performed. The PCA analysis showed that there was no significant population stratification. Two different statistical models Compressed Mixed Linear Model(GAPIT program package)and Bayes CPi (GenSel software) were used to implement GWAS on total number born and number born alive of the first and second parity. To compare the most significant 50 SNPs from each method, a total of 31 and 20 coincided SNPs for total number born in the first parity were identified, and there were 20 coincided SNPs for number born alive in the first parityinthe results of bothmethods. The most significant SNPs were also significant in the results of the other method. The most significantly associated regions for total number born in the first parity were located on SSC1, 2, 3, 7, 13, 16, and 18. The most significantly associated regions for number born alive in the first parity were locatedon SSC1, 3, 4, 13, and 16. There were 5 common regions significantly associated with bothtraits on SSC1, 3, 13, and 16. The most significantly associated regions forbothtotal number born and number born alive for the second parity were mainly located on six common regions on SSC7, 10, 12, 13, 14, and 16.

Publication types

  • English Abstract
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bayes Theorem
  • Genome-Wide Association Study*
  • Linear Models
  • Polymorphism, Single Nucleotide*
  • Swine / genetics*