Growth‐related traits are important economic traits in the pig industry that directly influence pork production efficiency. To detect quantitative trait loci and candidate genes affecting growth traits, genome‐wide association studies were performed for backfat thickness (BF) and loin muscle depth (LMD) in 370 Chuying‐black pigs using Illumina PorcineSNP50 BeadChip array. We totally identified 14 BF‐associated SNPs, which included 11 genome‐wide SNPs (P < 1.39E‐06) and 3 chromosome‐wide suggestive SNPs (P < 2.79E‐05) and for LMD, 9 SNPs surpassed the genome‐wide significant threshold (P < 1.39E‐06). These SNPs explained 30.33 and 27.51% phenotypic variance for BF and LMD respectively. Furthermore, 14 and 9 genes nearest to the significant SNPs were selected to be candidate genes, including MAGED1, GPHN, CCSER1, and GUCY2D for BF and PARM1, COL18A1, HSF5, and SCML2 genes for LMD. One significant SNP, which explained 6.07% of phenotypic variance for BF, mapped to a pleiotropic quantitative trait locus with a 494‐kb interval. Together, the SNPs and candidate genes identified in this study will advance our understanding of the complex genetic architecture of BF and LMD traits, and they will also provide important clues for future implementation of a genomic selection program in Chuying‐black pigs.

中文翻译：

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杂交猪种群中与生长相关的性状的全基因组关联研究

生长相关性状是养猪业中重要的经济性状，直接影响猪肉的生产效率。为了检测影响生长性状的数量性状基因座和候选基因，使用Illumina PorcineSNP50 BeadChip阵列对370头出雏黑猪的背脂厚度（BF）和腰肌深度（LMD）进行了全基因组关联研究。我们总共鉴定出14个与BF相关的SNP，其中包括11个全基因组SNP（P  <1.39E-06）和3个全染色体暗示SNP（P  <2.79E-05），对于LMD，有9个SNP超过了全基因组。显著阈值（P <1.39E-06）。这些SNP分别解释了BF和LMD的30.33％和27.51％的表型变异。此外，最靠近显著的SNP 14首9个基因选择为候选基因，包括MAGED1，GPHN，CCSER1和GUCY2D为BF和PARM1，COL18A1，HSF5和SCML2LMD的基因。一个重要的SNP解释了BF表型变异的6.07％，它以494-kb的间隔映射到多效性定量性状基因座。这项研究中鉴定出的SNP和候选基因将加深我们对BF和LMD性状的复杂遗传结构的理解，它们还将为将来在Chuying-black猪中实施基因组选择程序提供重要线索。