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