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Table 3 Association analyses between 14 candidate SNPs and serum urate and FEUA in the development cohort

From: A machine learning-assisted model for renal urate underexcretion with genetic and clinical variables among Chinese men with gout

Gene

SNP

A1

A2

Serum urate (μmol/L)

FEUA (%)

Effect

s.e.

p value

Effect

s.e.

p value

PDZK1

rs1797052

T

C

− 0.082

0.048

0.090

0.017

0.048

0.720

MUC1

rs4072037

C

T

− 0.049

0.073

0.501

0.129

0.073

0.076

GCKR

rs1260326

C

T

0.089

0.041

0.031

− 0.114

0.041

0.006

SLC2A9

rs7679724

G

T

0.063

0.044

0.155

− 0.206

0.044

3.05E−6*

SLC2A9

rs3775948

G

C

− 0.020

0.065

0.758

0.208

0.065

0.001*

ABCG2

rs2231142

T

G

0.155

0.040

1.03E−4*

0.154

0.040

1.07E−4*

SLC22A9

rs11231463

G

A

− 0.061

0.063

0.332

− 0.114

0.063

0.068

PLA2G16

rs7928514

A

G

− 0.101

0.058

0.080

− 0.055

0.058

0.341

FLRT1

rs641811

A

G

0.020

0.047

0.662

0.001

0.047

0.991

NRXN2

rs57633992

A

C

− 0.061

0.079

0.444

− 0.050

0.079

0.528

NRXN2

rs504915

A

T

− 0.032

0.049

0.516

0.015

0.049

0.756

AIP

rs11227805

T

C

− 0.017

0.066

0.798

0.040

0.066

0.542

ALDH2

rs671

A

G

− 0.017

0.063

0.788

− 0.005

0.063

0.932

COMMD4

rs73436803

T

C

0.339

0.179

0.057

− 0.193

0.178

0.279

  1. A1 Allele 1, effect allele, s.e. Standard error, FEUA Fractional excretion of uric acid
  2. *p<0.0025 as significant