This phenotype can be found on the UK Biobank Showcase for code 1200. Neale Lab GWAS results are available for 360,738 unrelated individuals of European ancestry. This is a ordinal phenotype.

In addition to SNP heritability, LD score regression also estimates an intercept term that indexes population stratification, other counfounding, and potential misspecification in the partitioned LD score model for the distribution of genetic effects genome-wide.

**Intercept:**1.0345 (se=0.0107, p=0.000662)**Mean \(\chi^2\):**1.4704**Ratio:**0.0733 (se=0.0228)**\(\lambda_{GC}\):**1.3806

Intercept values near 1 indicate little or no confounding. The reported LDSR ratio compares the intercept estimate and the mean \(\chi^2\) statistic to provide a rough index for how much of the polygenic signal in the GWAS may be due to confounding rather than genetic effects (assuming the LD score model is well specified). Note that the intercept, mean \(\chi^2\), and genomic control \(\lambda_{GC}\) are all expected to scale with sample size, making the ratio better suited for comparisons between different GWAS.

Genetic correlations and phenotypic correlations comparing this phenotype to other significantly heritable phenotypes from the Neale Lab UK Biobank GWAS can be found at: **ukbb-rg.hail.is**

Two-sided test of the tau coefficient for the named annotation conditional on the rest of the baseline-LD v1.1 model. The orange line indicates Bonferroni-corrected significance across 38 annotations of interest for this phenotype (\(p <\) 1.3e-3). The green line indicates nominal significance (\(p <\) .05). Bonferroni correction excludes the base annotation, 10 MAF bin annotations, and the 26 buffer annotations (extending 500-bp around the baseline functional annotations) since they are primarily intended as statistical controls rather than for direct inference. Note this does not account for multiple testing across phenotypes.

Two-sided test of the tau coefficient for the named annotation conditional on the rest of the baseline-LD v1.1 model. The orange line indicates Bonferroni-corrected significance across 38 annotations of interest for this phenotype (\(p <\) 1.3e-3). The green line indicates nominal significance (\(p <\) .05). Bonferroni correction excludes the base annotation, 10 MAF bin annotations, and the 26 buffer annotations (extending 500-bp around the baseline functional annotations) since they are primarily intended as statistical controls rather than for direct inference. Note this does not account for multiple testing across phenotypes.

All results are from partitioned heritability analysis of this phenotype using LD score regression (Bulik-Sullivan et al. 2015, github repo) with 75 annotations as described by Gazal et al. 2017 (also on biorxiv). See Methods for more information on the underlying GWAS and LDSR analysis. You can also read more about the confidence criteria and the significance thresholds.

**Full GWAS results (large file):**`1200.gwas.imputed_v3.both_sexes.tsv.bgz`

**LDSR-formatted summary statistics:**`1200.ldsc.imputed_v3.both_sexes.tsv.bgz`

**LDSR \(h^2_g\) and intercepts for all primary GWAS:**`ukb31063_h2_topline.02Oct2019.tsv.gz`

**LDSR partitioning for significantly heritable phenotypes:**`ukb31063_h2_z4.02Oct2019.tsv.gz`

See the full manifest of LDSR sumstats files for sumstats for other GWAS of this phenotype, where applicable.

See the Downloads page for more information.

See the full team behind these results here.