首页> 外文期刊>Mammalian genome: official journal of the International Mammalian Genome Society >Mycobacterium avium ssp. paratuberculosis ( Map) tissue infection in Holstein cattle using gene set enrichment analysis–SNP]]>
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Mycobacterium avium ssp. paratuberculosis ( Map) tissue infection in Holstein cattle using gene set enrichment analysis–SNP]]>

机译:<![CDATA [识别与<重点型=“斜体”>分枝杆菌的易感性相关的基因ancobersium SSP。 <强调类型=“斜体”>帕拉霉素(<重点型=“斜体”>映射)荷斯坦牛采用基因型富集分析-SNP]]]]>

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摘要

Multiple genome-wide association analyses have investigated susceptibility to bovine paratuberculosis, but few loci have been identified across independent cattle populations. A SNP-based gene set enrichment analysis (GSEA–SNP) allows expanded identification of genes with moderate effects on a trait through the enrichment of gene sets instead of identifying only few loci with large effects. Therefore, the objective of this study was to identify genes that were moderately associated with Mycobacterium avium ssp. paratuberculosis ( Map ) tissue infection using GSEA–SNP in Holstein cattle from the Pacific Northwest (PNW; n ?=?205) and from the PNW and Northeast (PNW+NE; n ?=?245) which were previously genotyped with the Illumina BovineSNP50 BeadChip. The GSEA–SNP utilized 4389 gene sets from five databases. For each annotated gene in the UMD3.1 assembly ( n ?=?19,723), the most significant SNP within each gene and its surrounding region (10?kb up- and downstream) was selected as a proxy for that gene. Any gene set with a normalized enrichment score?>?2.5 was considered enriched. Thirteen gene sets (8 PNW GSEA–SNP; 5 PNW+NE) were enriched in these analyses and all have functions that relate to nuclear factor kappa beta. Nuclear factor kappa beta is critical to gut immune responses, implicated in host immune responses to other mycobacterial diseases, and has established roles in inflammation as well as cancer. Gene sets and genes moderately associated with Map infection could be used in genomic selection to allow producers to select for less susceptible cattle, lower the prevalence of the disease, and reduce economic losses.
机译:多种基因组关联分析研究了对牛分析的易感性,但在独立的牛群中已经识别了很少的基因座。基于SNP的基因设定富集分析(GSEA-SNP)允许通过富集基因套件来扩张具有中等作用的基因,而不是鉴定少数效果。因此,本研究的目的是鉴定与厌氧分枝杆菌的中度相关的基因。甲状腺肿(MAP)组织感染在Holsea-SNP在Holsea-SNP在Holsea-SNP中,来自太平洋西北(PNW; N?=?205),来自PNW和东北(PNW + NE; n?=?245),其先前与Illumina进行了基因分型bovinesnp50珠芯片。 GSEA-SNP使用来自五个数据库的4389个基因集。对于UMD3.1组件中的每个注释基因(n?= 19,723),选择每个基因内的最重要的SNP及其周围区域(10?KB上游)作为该基因的代理。任何具有标准化浓缩评分的基因集?>?2.5被认为是丰富的。在这些分析中富集了十三个基因套(8 pNW GSEA-SNP; 5 pnW + Ne),所有功能都具有与核因子Kappaβ相关的功能。核因子Kappaβ对肠道免疫反应至关重要,涉及到其他分枝杆菌疾病的宿主免疫应答,并在炎症和癌症中建立了作用。与地图感染适度相关的基因组和基因可用于基因组选择,以允许生产者选择不太敏感的牛,降低疾病的患病率,降低经济损失。

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