Regression analysis of gene expression values against disease symptoms

The contributors

Andrea Harper (CNAP, University of York) and Ian Bancroft (CNAP, University of York)

The analysis

The analysis used computed RPKM transcript abundance data for 130,978 principal isoforms in leaves, representing each of 184 trees from across Denmark and phenotyped for disease symptoms by our colleague Erik Dahl Kjaer’s group. A regression analysis was conducted, by which correlations between gene expression levels and dieback susceptibility were identified. Those with the most significant correlations, P<10-8, are listed.