作者: Shuji Sato , Yoshinobu Uemoto , Takashi Kikuchi , Sachiko Egawa , Kimiko Kohira
DOI: 10.1186/S12863-016-0368-3
关键词: Quantitative trait locus 、 Single-nucleotide polymorphism 、 Population 、 Haplotype 、 Genome-wide association study 、 Candidate gene 、 Genotyping Techniques 、 Biology 、 SNP 、 Genetics
摘要: The aim of the present study was to compare power single nucleotide polymorphism (SNP)-based genome-wide association (GWAS) and haplotype-based GWAS for quantitative trait loci (QTL) detection, detect novel candidate genes affecting economically important traits in a purebred Duroc population comprising seven-generation pedigree. First, we performed simulation analysis using real genotype data this (based on null hypothesis) two methods. We then both methods phenotype 52 traits, which included growth, carcass, meat quality traits. In total, 836 animals were genotyped Illumina PorcineSNP60 BeadChip 14 customized SNPs from regions known related interest. SNP-based greater than that analysis. analysis, larger number significant obtained by GWAS. For GWAS, 23 SNP detected 17 120 suggestive 27 6 four 11 eight All located also Four significantly associated with multiple traits: Sus scrofa chromosome (SSC) 1 at 304 Mb; SSC7 35–39 Mb, 41–42 Mb, 103 Mb. vertnin gene (VRTN) particular, 103 Mb vertebrae carcass lengths. Mapped QTL contain some involved skeletal formation (FUBP3; far upstream element binding protein 3) fat deposition (METTL3; methyltransferase like 3). Our results show multigenerational pig is useful detecting QTL, are typically segregated population. addition, region could be as opposed