Meat quality improvement is of great interest to researchers in pig breeding and many researchers have identified abundant associated quantitative trait loci, genes and polymorphisms (QTXs) for fat‐related traits. However, it is challenging to determine credible candidate genes from a mass of associations. The efficiency of identification of credible candidate genes in these QTXs is restricted by limited integration analyses of data from multiple omics. In this study, we constructed a ‘candidate gene map’ of fat‐related traits in pigs based on published literature and the latest genome. In total, 6,861 QTXs, which covered 9,323 genes on the pig genome, were used. Combining the QTX hotspots and pathway analysis, we identified 180 candidate genes that may regulate the fat‐related traits, and choose PNPLA2, PPARG, SREBF1, ACACA, PPARD and PPARA as credible candidate genes. In addition, we discussed the importance of incorporating transcriptome data and genomic data in causal gene identification, and the multi‐omics information can effectively improve the credibility of identified candidate genes.

中文翻译：

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基于基因组，转录组和QTX信息的整合分析揭示了猪脂肪相关性状的可靠候选基因。

肉品质量的提高对养猪业的研究人员引起了极大的兴趣，许多研究人员已经确定了许多与脂肪相关的性状相关的定量性状位点，基因和多态性（QTX）。然而，从大量的关联中确定可靠的候选基因是具有挑战性的。这些QTX中可靠候选基因的鉴定效率受到来自多个组学数据的有限整合分析的限制。在这项研究中，我们基于已发表的文献和最新的基因组，构建了猪脂肪相关性状的“候选基因图”。总共使用了6,861个QTX，它们覆盖了猪基因组的9,323个基因。结合QTX热点和途径分析，我们确定了180个可能调控脂肪相关性状的候选基因，并选择了PNPLA2，PPARG，SREBF1，ACACA，PPARD和PPARA是可靠的候选基因。此外，我们讨论了将转录组数据和基因组数据纳入因果基因识别的重要性，而多组学信息可以有效提高已鉴定候选基因的可信度。