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

<p>This file is <a href="https://www.nature.com/articles/s41559-019-1036-6">Stocks et al (2019)</a> Supplementary Table 7j with major allele (MAA) and minor allele (MIA) identities added.<br> Estimated effect sizes (EES) from genomic prediction model trained on the pool-seq data using the top 50000 SNPs from the pool-seq GWAS<br> Contig = Contig in BATG0.5 assembly&nbsp;&nbsp; &nbsp;<br> Pos = SNP location in contig&nbsp;&nbsp; &nbsp;<br> EES.MIA = Estimated effect size of minor allele&nbsp;&nbsp; &nbsp;<br> EES.MIA.SE = Standard Error of Estimated effect size of minor allele<br> EES.MAA = Estimated effect size of major allele<br> EES.MAA.SE = Standard Error of Estimated effect size of major allele&nbsp;&nbsp; &nbsp;<br> MIA = identity of minor allele&nbsp;&nbsp; &nbsp;<br> MAA = identity of major allele</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4