Published February 15, 2023 | Version v1

50000 SNPs for genomic prediction of ash dieback susceptibility in European Ash

  • 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

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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