Skip to main content
zenodoopen

Gene-based association analysis for neuroticism, results

<p>Results of gene-based association analysis for neuroticism, using UK Biobank-based GWAS summary statistics</p> <p>neuro.exon.combined.all.xls - using exonic SNPs only</p> <p>neuro.nsyn.combined.all.xls - using nonsynonymous SNPs only</p> <p>neuro.intron.combined.all.xls - using intronic SNPs only</p> <p>neuro.combined.all.xls - using all SNPs</p> <p>Columns:</p> <p>gene - gene symbol</p> <p>chr - chromosome</p> <p>start - transcript start position</p> <p>stop - transcript stop position</p> <p>n.SKATO - number of SNPs for SKATO analysis</p> <p>pv.SKATO - SKATO pvalue</p> <p>n.PCA - number of SNPs for PCA analysis</p> <p>pv.PCA - PCA pvalue</p> <p>n.ACAT - number of SNPs for ACAT analysis</p> <p>pv.ACAT - ACAT pvalue</p> <p>combined - pvalue of a combined test</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0