title: Genome-wide association analysis identifies quantitative trait loci for growth in a Landrace purebred population.
abstract: Growth-related traits are complex and economically important in the livestock industry. The aim of this study was to identify quantitative trait loci (QTL) and the associated positional candidate genes affecting growth in pigs. A genome-wide association study (GWAS) was performed using the porcine single-nucleotide polymorphism (SNP) 60K bead chip. A mixed-effects model and linear regression approach were used for the GWAS. The data used in the study included 490 purebred Landrace pigs. All experimental animals were genotyped with 39 438 SNPs located throughout the pig autosomes. We identified a strong association between a SNP marker on chromosome 16 and body weight at 71 days of age (ALGA0092396, P = 5.35 × 10(-9) , Bonferroni adjusted P < 0.05). The SNP marker was located near the genomic region containing IRX4, which encodes iroquois homeobox 4. This SNP marker could be useful in the selective breeding program after validating its effect on other populations.
authors: Department of Animal Science, College of Agriculture and Life Sciences, Gyeongsang National University, Jinju, 660-701, Korea; Institute of Agriculture and Life Science, Gyeongsang National University, Jinju, 660-701, Korea.
authors: E J
authors: EJ
authors: Jung
authors: H B
authors: HB
authors: Park
authors: J B
authors: JB
authors: Lee
authors: C K
authors: CK
authors: Yoo
authors: B M
authors: BM
authors: Kim
authors: H I
authors: HI
authors: Kim
authors: B W
authors: BW
authors: Kim
authors: H T
authors: HT
authors: Lim
mesh_terms: D000818:Animals; D005260:Female; D055106:Genome-Wide Association Study / Q000662:veterinary*; D008297:Male; D020411:Oligonucleotide Array Sequence Analysis / Q000662:veterinary; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci / Q000235:genetics*; D034421:Sus scrofa / Q000235:genetics* / Q000254:growth & development*
keywords: GWAS; QTL; body weight; purebred pigs