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Fig. 3 | BMC Genomics

Fig. 3

From: QTL-mapping and genomic prediction for bovine respiratory disease in U.S. Holsteins using sequence imputation and feature selection

Fig. 3

GWAS analysis of the combined CA + NM cohorts. A) Genome-wide, the imputed WGS data reveal stronger associations than found by Neibergs et al. [4]. In some cases, this involved the strengthening of signal at QTL detected in the analysis of the BovineHD data, such as in panel (B) containing INPP4B (chr17:15,338,071-16,116,053 bp) which is involved in T-cell differentiation and poly-phosphatase signaling and was found to be differentially expressed in the challenge experiment bronchial lymph node RNA-Seq data (Tizioto et al. [7]). In other cases, novel regions were revealed such as in panel (C) which shows a region partially containing CSMD1 (chr27:1,016,499-2,688,276 bp), which regulates the complement system controlling inflammatory responses

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BMC Genomics

ISSN: 1471-2164

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