Prioritizing candidate genes post-GWAS using multiple sources of data for mastitis resistance in dairy cattle.

Zexi CaiBernt GuldbrandtsenMogens Sandø LundGoutam Sahana

Published in: BMC genomics (2018)

Combining information on the nearest positional genes, gene-based analyses, and differential gene expression data from RNA-seq, we identified putative causal genes (candidate genes with biological evidence) in QTL for mastitis resistance in Nordic Holstein cattle. The same strategy can be applied for other traits.

Keyphrases

rna seq
genome wide
gene expression
dna methylation
single cell
genome wide identification
electronic health record
big data
copy number
bioinformatics analysis
drinking water
healthcare
transcription factor
heat stress
data analysis
high density