Fig. 2: Estimates of genetic correlation between AC and common diseases in the UKB. | Nature Communications

Fig. 2: Estimates of genetic correlation between AC and common diseases in the UKB.

From: Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes

Fig. 2

The rows denote 8 GWAS summary data sets for AC with the sample size labelled in the bracket. The columns are 18 common diseases and disease count. The nominal significant effects (\(P\, <\, 0.05\)) are labelled with \(\hat r_g\) [95% confidence interval] (P-value), and the significant effects after multiple testing correction (\(P\, <\, 0.05/152\)) are labelled with an additional asterisk. The colour of the block represents the size each genetic correlation estimate. The P-value shown in the block is the original P-value for \(\hat r_g\) (two-sided \(\chi ^2\) test). “Current drinkers excluding underreporting” represents current drinkers excluding 9,064 individuals who likely underreported their AC levels. LESS, SAME, and MORE represent current drinkers whose AC levels were reduced, maintained the same, and increased, respectively, compared to 10 years ago. “LESS with illness removed” represents the LESS group excluding the participants who reduced their AC intake level due to illness or doctor’s advice.

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