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Chunk #23 — Results — Genetic correlation with other traits.

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Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.
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We estimated pairwise rg with TUD for 113 published phenotypes using LDSC.46 TUD showed FDR-significant correlations rg with 76 traits (Figure 5b; Supplementary Table 31). As expected, the strongest positive correlations were with smoking-related traits (e.g., age of smoking initiation rg=−0.59, SE=0.03; smoking initiation rg=0.81, SE=0.02; cigarettes per day rg=0.44, SE=0.03; smoking cessation rg=0.66, SE=0.02; FTND rg=0.63, SE=0.06; Figure 5a) and other substance use traits (e.g., cannabis use disorder rg=0.64, SE=0.04; drinks per week rg=0.36, SE=0.02; opioid use disorder (OUD) rg=0.47, SE=0.04). TUD clustered with addiction traits rather than consumption phenotypes (Supplementary Figure 9).