生物
全基因组关联研究
残余进料口
遗传学
遗传关联
连锁不平衡
计算生物学
肉牛
基因组
基因
转录组
单核苷酸多态性
基因型
饲料转化率
基因表达
内分泌学
体重
作者
Darlene Ana Souza Duarte,C. J. Newbold,Edênio Detmann,Fabyano Fonseca e Silva,Pedro H. F. Freitas,Renata Veroneze,Márcio de Souza Duarte
摘要
Summary Genome‐wide association studies ( GWAS es) have been performed to search for genomic regions associated with residual feed intake ( RFI ); however inconsistent results have been obtained. A meta‐analysis may improve these results by decreasing the false‐positive rate. Additionally, pathway analysis is a powerful tool that complements GWAS es, as it enables identification of gene sets involved in the same pathway that explain the studied phenotype. Because there are no reports on GWAS pathways‐based meta‐analyses for RFI in beef cattle, we used several GWAS results to search for significant pathways that may explain the genetic mechanism underlying this trait. We used an efficient permutation hypothesis test that takes into account the linkage disequilibrium patterns between SNP s and the functional feasibility of the identified genes over the whole genome. One significant pathway (valine, leucine and isoleucine degradation) related to RFI was found. The three genes in this pathway— methylcrotonoyl‐CoA carboxylase 1 ( MCCC 1 ) , aldehyde oxidase 1 ( AOX 1 ) and propionyl‐CoA carboxylase alpha subunit ( PCCA )—were found in three different studies. This same pathway was also reported in a transcriptome analysis from two cattle populations divergently selected for high and low RFI . We conclude that a GWAS pathway‐based meta‐analysis can be an appropriate method to uncover biological insights into RFI by combining useful information from different studies.
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