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Table 5 Logistic regression models including adjustment for both coffee intake and urate-associated SNPs for association with gout

From: Mediation analysis to understand genetic relationships between habitual coffee intake and gout

Variable Odds ratio for gout 95% Confidence Interval Standard Error P
GCKR (rs1260326) 1.42 1.28 - 1.57 0.05 7.78E-12
Coffee consumption (any) 0.76 0.68 - 0.85 0.06 2.00E-06
ABCG2 (rs2231142) 2.36 2.14 -2.60 0.05 2.07E-68
Coffee consumption (any) 0.76 0.68 - 0.85 0.06 2.00E-06
MLXIPL (rs1178977) 1.23 0.95 -1.60 0.13 0.12
Coffee consumption (any) 0.75 0.67 - 0.84 0.06 9.45E-07
CYP1A2 (rs2472297) 1.15 0.96 - 1.39 0.10 0.14
Coffee consumption (any) 0.75 0.67 - 0.84 0.06 1.00E-06
GCKR (rs1260326) 1.41 1.27 - 1.55 0.05 2.79E-11
Coffee intake (per cup per day) 0.85 0.83 - 0.87 0.01 4.29E-31
ABCG2 (rs2231142) 2.33 2.12 - 2.57 0.05 1.83E-66
Coffee intake (per cup per day) 0.85 0.83 - 0.88 0.01 4.02E-30
MLXIPL (rs1178977) 1.20 0.92 - 1.56 0.13 0.17
Coffee intake (per cup per day) 0.85 0.82 - 0.87 0.01 1.15E-31
CYP1A2 (rs2472297) 1.11 0.92 - 1.34 0.10 0.27
Coffee intake (per cup per day) 0.85 0.83 - 0.87 0.01 1.41E-31
  1. Effect allele is allele associated with hyperuricaemia in Kottgen GWAS paper (2)
  2. Odds are shown for presence/absence of urate-raising allele
  3. All results shown are adjusted for age, sex, body mass index, hypertension, kidney disease, diabetes, meat intake, fish intake, cheese intake, tea intake, fruit intake, vegetable intake, bread intake, and cereal intake
  4. SNP single nucleotide polymorphism