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Table 4 Association analysis of urate-associated SNPs with gout and coffee intake

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

    Association of gout with urate-associated SNPs Association of coffee intake (cups per day) with urate-associated SNPs
Gene SNP Effect allele Observations % Odds ratio 95% Confidence interval P Observations % Unadjusted β coefficient 95% Confidence
interval
P
GCKR
 Unadjusted rs1260326 T 130,966 100.0% 1.40 1.27–1.53 3.34 × 10−12 130,731 100.0% −0.07 −0.10 to −0.05 1.33 × 10−8
 Adjusted† 121,940 93.1% 1.43 1.29–1.58 4.05 × 10−12 121,897 93.2% −0.08 −0.10 to −0.05 3.05 × 10−10
 Adjusted† including beer/spirits 86,702 66.2% 1.45 1.30–1.62 2.32 × 10−11 86,676 66.3% −0.07 −0.10 to −0.05 2.47 × 10−8
ABCG2
 Unadjusted rs2231142 T 130,966 100.0% 2.26 2.07–2.47 1.05 × 10−72 130,731 100.0% −0.07 −0.10 to −0.04 1.00 × 10−6
 Adjusted† 121,940 93.1% 2.37 2.15–2.61 6.62 × 10−69 121,897 93.2% −0.09 −0.11 to −0.06 2.10 × 10−9
 Adjusted† including beer/spirits 86,702 66.2% 2.45 2.20–2.72 4.78 × 10−61 86,676 66.3% −0.08 −0.11 to −0.05 3.99 × 10−7
MLXIPL
 Unadjusted rs1178977 A 130,966 100.0% 1.25 0.98–1.61 0.07 130,702 100.0% −0.15 −0.21 to −0.09 3.00 × 10−6
 Adjusted 121,940 93.1% 1.24 0.95–1.61 0.11 121,897 93.2% −0.17 −0.23 to −0.11 3.20 × 10−8
 Adjusted including beer/spirits 86,702 66.2% 1.24 0.94–1.65 0.13 86,661 66.3% −0.21 −0.27 to −0.14 5.45 × 10−10
CYP1A2
 Unadjusted rs2472297 C 130,966 100.0% 1.15 0.96–1.37 0.13 130,731 100.0% −0.25 −0.30 to −0.21 3.02 × 10−26
 Adjusted 121,940 93.1% 1.16 0.96–1.40 0.12 121,897 93.2% −0.30 −0.35 to −0.26 7.61 × 10−40
 Adjusted including beer/spirits 86,702 66.2% 1.16 0.94–1.42 0.17 86,676 66.3% −0.30 −0.35 to −0.25 2.80 × 10−32
  1. Analysis is shown for the presence of at least one urate-raising allele
  2. Effect allele is allele associated with hyperuricaemia in Kottgen GWAS paper [2]
  3. SNP single nucleotide polymorphism
  4. 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