The Roslin Institute, The University of Edinburgh, Midlothian, UK.
Swedish University of Agricultural Sciences, Uppsala, Sweden.
Genet Sel Evol. 2023 Jun 15;55(1):42. doi: 10.1186/s12711-023-00815-0.
Genome-wide association studies (GWAS) aim at identifying genomic regions involved in phenotype expression, but identifying causative variants is difficult. Pig Combined Annotation Dependent Depletion (pCADD) scores provide a measure of the predicted consequences of genetic variants. Incorporating pCADD into the GWAS pipeline may help their identification. Our objective was to identify genomic regions associated with loin depth and muscle pH, and identify regions of interest for fine-mapping and further experimental work. Genotypes for ~ 40,000 single nucleotide morphisms (SNPs) were used to perform GWAS for these two traits, using de-regressed breeding values (dEBV) for 329,964 pigs from four commercial lines. Imputed sequence data was used to identify SNPs in strong ([Formula: see text] 0.80) linkage disequilibrium with lead GWAS SNPs with the highest pCADD scores.
Fifteen distinct regions were associated with loin depth and one with loin pH at genome-wide significance. Regions on chromosomes 1, 2, 5, 7, and 16, explained between 0.06 and 3.55% of the additive genetic variance and were strongly associated with loin depth. Only a small part of the additive genetic variance in muscle pH was attributed to SNPs. The results of our pCADD analysis suggests that high-scoring pCADD variants are enriched for missense mutations. Two close but distinct regions on SSC1 were associated with loin depth, and pCADD identified the previously identified missense variant within the MC4R gene for one of the lines. For loin pH, pCADD identified a synonymous variant in the RNF25 gene (SSC15) as the most likely candidate for the muscle pH association. The missense mutation in the PRKAG3 gene known to affect glycogen content was not prioritised by pCADD for loin pH.
For loin depth, we identified several strong candidate regions for further statistical fine-mapping that are supported in the literature, and two novel regions. For loin muscle pH, we identified one previously identified associated region. We found mixed evidence for the utility of pCADD as an extension of heuristic fine-mapping. The next step is to perform more sophisticated fine-mapping and expression quantitative trait loci (eQTL) analysis, and then interrogate candidate variants in vitro by perturbation-CRISPR assays.
全基因组关联研究(GWAS)旨在识别与表型表达相关的基因组区域,但确定因果变异很困难。猪综合注释依赖耗竭(pCADD)评分提供了遗传变异预测后果的衡量标准。将 pCADD 纳入 GWAS 管道可能有助于识别它们。我们的目标是确定与腰深和肌肉 pH 值相关的基因组区域,并确定精细映射和进一步实验工作的重点区域。使用来自四个商业品系的 329964 头猪的去回归育种值(dEBV),对大约 40000 个单核苷酸多态性(SNP)进行了 GWAS。使用 imputed 序列数据来识别与 GWAS 中最高 pCADD 评分的 lead SNP 具有强连锁不平衡的 SNP([Formula: see text] 0.80)。
在全基因组范围内,有 15 个不同的区域与腰深相关,一个区域与腰 pH 值相关。染色体 1、2、5、7 和 16 上的区域解释了 0.06%至 3.55%的加性遗传方差,并且与腰深强烈相关。肌肉 pH 值的大部分加性遗传方差归因于 SNP。我们的 pCADD 分析结果表明,高分 pCADD 变体富集错义突变。SSC1 上两个紧密但不同的区域与腰深相关,pCADD 确定了其中一个品系 MC4R 基因中先前确定的错义变异。对于腰 pH 值,pCADD 确定了 RNF25 基因(SSC15)中的同义变体是肌肉 pH 值关联的最可能候选者。pCADD 没有将 PRKAG3 基因中的错义突变(已知影响糖原含量)列为影响腰 pH 值的候选者。
对于腰深,我们确定了几个有进一步统计精细映射的强有力候选区域,这些区域在文献中得到支持,还有两个新区域。对于腰肌肉 pH 值,我们确定了一个先前确定的相关区域。我们发现 pCADD 作为启发式精细映射扩展的效用存在混合证据。下一步是进行更复杂的精细映射和表达数量性状基因座(eQTL)分析,然后通过扰动-CRISPR 测定体外检测候选变体。