Published February 15, 2023
| Version v1
Dataset
Open
50000 SNPs for genomic prediction of ash dieback susceptibility in European Ash
Authors/Creators
- 1. Royal Botanic Gardens Kew
- 2. Queen Mary University of London
Description
This file is Stocks et al (2019) Supplementary Table 7j with major allele (MAA) and minor allele (MIA) identities added.
Estimated effect sizes (EES) from genomic prediction model trained on the pool-seq data using the top 50000 SNPs from the pool-seq GWAS
Contig = Contig in BATG0.5 assembly
Pos = SNP location in contig
EES.MIA = Estimated effect size of minor allele
EES.MIA.SE = Standard Error of Estimated effect size of minor allele
EES.MAA = Estimated effect size of major allele
EES.MAA.SE = Standard Error of Estimated effect size of major allele
MIA = identity of minor allele
MAA = identity of major allele
Files
GP-50K-alleles+effects-Zenodo.txt
Additional details
Funding
- UK Research and Innovation
- Ash tree genomics: an urgent need NE/K01112X/1
- UK Research and Innovation
- Identifying genomic resources against pests and pathogens in tree genera: a case study in Fraxinus BB/L012162/1