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Serum uric acid distribution according to SLC22A12 W258X genotype in a cross-sectional study of a general Japanese population

BMC Medical Genetics volume 12, Article number: 33 (2011) Cite this article

Abstract

Background

Although SLC22A12 258X allele was found among those with hypouricemia, it was unknown that serum uric acid distribution among those with SLC22A12 258X allele. This study examined serum uric acid (SUA) distribution according to SLC22A12 W258X genotype in a general Japanese population.

Methods

Subjects were 5,023 health checkup examinees (3,413 males and 1,610 females) aged 35 to 69 years with creatinine < 2.0 mg/dL, who were participants of a cohort study belonging to the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study). SLC22A12 W258X was genotyped with a polymerase chain reaction with confronting two-pair primers.

Results

The genotype frequency was 4,793 for WW, 225 for WX, and 5 for XX, which was in Hardy-Weinberg equilibrium (p = 0.164) with X allele 0.023 (95% confidence interval [0.021-0.027]). Mean (range) SUA was 6.2 (2.1-11.4) mg/dL for WW, 3.9 (0.8-7.8) mg/dL for WX, and 0.8 (0.7-0.9) mg/dL for XX among males, and 4.5 (1.9-8.9) mg/dL, 3.3 (2.0-6.5) mg/dL, and 0.60 (0.5-0.7) mg/dL among females, respectively. Six individuals with SUA less than 1.0 mg/dL included two males with XX genotype, one male with WX genotype, and three females with XX genotype. Subjects with WX genotype were 14 (77.8%) of 18 males with a SUA of 1.0-2.9 mg/dL, and 28 (34.6%) of 81 females with the same range of SUA. The corresponding values were 131 (25.1%) of 522 males and 37 (3.5%) of 1,073 females for SUA 3.0-4.9 mg/dL, and 8 (0.4%) of 2,069 males and 5 (1.1%) of 429 females for SUA 5.0-6.9 mg/dL. The X allele effect for SUA less than 3 mg/dL was significantly (p < 0.001) higher in males (OR = 102.5, [33.9-309.8]) than in females (OR = 25.6 [14.4-45.3]).

Conclusions

Although SLC22A12 W258X was a determining genetic factor on SUA, SUA of those with WX genotype distributed widely from 0.8 mg/dL to 7.8 mg/dL. It indicated that other genetic traits and/or lifestyle affected SUA of those with WX genotype, as well as those with WW genotype.

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Background

It is well known that the mean serum uric acid (SUA) is lower in females than in males. In addition, it is fully documented that age, menopause, food consumption, alcohol intake, obesity, a sedentary lifestyle, dyslipidemia, insulin resistance, blood pressure, renal function, and drug use for hypertension were associated with SUA levels [1–6]. Meanwhile, recent studies have elucidated that genotypes are also influential factors of SUA.

SUA is reabsorbed in renal tubules through uric acid transporter 1 (URAT1) encoded by SLC22A12 in chromosome 11q13 [7, 8]. SLC22A12 was documented to have functional polymorphisms, among which W258X was found among those with renal hypouricemia [9–11]. However, the distribution of SUA among those with 258X allele was not reported in a general population. This study aimed to examine SUA distribution according to SLC22A12 W258X genotye, elucidating the overall effect of SLC22A12 W258X on SUA among Japanese.

Methods

This study was approved by the Ethics Committee of Nagoya University School of Medicine (approval number 288). Subjects who gave written informed consent to participate in the study were enrolled.

Subjects and data collection

Subjects were derived from 5,040 examinees aged 35-69 years who visited a health checkup center in Hamamatsu, Japan in 2006-2007. They were enrolled as participants of a cohort study belonging to the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) [12, 13]. As of October, 2010, one participant was found to be ineligible in terms of age (34 years old at enrollment), and 11 participants withdrew from the study. Blood sample was not available for one participant, and genotyping was not successful for another. Three participants with creatinine of 2.0 mg/dL or over were excluded from the analysis, leaving 5,023 subjects for the analysis.

Health checkup data including blood tests were used for this study. Peripheral blood was drawn in the morning from those fasting overnight. Biochemical analysis of the sampled sera was performed using an auto-analyzer in the health checkup center.

Genotyping

DNA was extracted from buffy coat conserved at -80°C using a BioRobot® M48 (QIAGEN Group, Tokyo). SLC22A12 W258X polymorphism was genotyped by a polymerase chain reaction with confronting two-pair primers (PCR-CTPP) [14]. Each 25 μl reaction tube contained 30-80 ng DNA, 0.12 mM dNTP, 12.5 pmol of each primer, 0.5 U AmpliTaq Gold (Perkin-Elmer, Foster City, CA) and 2.5 μl of 10x PCR buffer including 15 mM MgCl2. The PCR-CTPP was conducted with initial denaturation at 95°C for 10 minutes, 35 cycles of denaturation at 95°C for 1 minute, annealing at 62°C for 1 minute, and extension at 72°C for 1 minute, and a final extension at 72°C for 5 minutes. The primers were F1: 5'- TCC ATG CAG GCT CCA GG -3', R1: 5'- ACC ACC AGC TGC AGC AGT GTT -3', F2: 5'- TAC GGT GTG CGG GAC TGG -3', and R2: 5'- GGC AGG ATC TCC TCT GAG G -3'. The amplified DNA fragments were 117-base pairs (bp) for the W allele (G allele), 176-bp for the X allele (A allele), and 255-bp for a common band, as demonstrated in Figure 1.

Figure 1
figure 1

Representative gel for SLC22A12 W258X polymorphism. Lane M, a 100 bp ladder; lane 1, a WW homozygote with fragments of 117 bp and 255 bp; lane 2, a WX heterozygote with fragments of 117 bp and 176 bp and 255 bp; lane 3, a XX homozygote with fragments of 176 bp and 255 bp.

Full size image

Statistical analysis

Body mass index (BMI) was calculated by weight (kg)/squared height (m2). Hardy-Weinberg equilibrium was examined with a chi-square test. Binomial distribution was used to estimate 95% confidence interval (CI) of proportions. Means among the three genotype groups were tested with analysis of variance (ANOVA). Adjusted odds ratio (OR) and 95% CI were estimated using an unconditional logistic model. All statistical analyses were performed using STATA software version 11 (STATA, College Station, TX).

Results

Table 1 shows the characteristics of the 5,023 subjects (3,413 males and 1,610 females). Those with a SUA less than 3.0 mg/dL were 0.6% in males and 5.2% in females, while those with a SUA of 7.0 mg/dL or over were 23.5% in males and 1.5% in females. The genotype frequency was 4,793 for WW, 225 for WX, and 5 for XX, which was in Hardy-Weinberg equilibrium (p = 0.164); the X allele frequency was 0.023 (95% CI, 0.021-0.027).

Table 1 Characteristics of subjects according to sex
Full size table

The means of age, BMI, blood pressure, and blood tests according to the genotype and sex are listed in Table 2. The null hypothesis that the means were equal among the three genotypes was rejected with one-way ANOVA for creatinine and glucose in males, and for age and gamma-glutamyltransferase (GGT) in females. When the WX and XX were combined, the difference in the mean between the combined and the WW became nonsignificant for GGT in females, but still significant for creatinine and glucose in males and age in females.

Table 2 Characteristics of subjects according to SLC22A12 W258X genotype
Full size table

Mean SUA was 6.21 mg/dL for WW, 3.95 mg/dL for WX, and 0.80 mg/dL for XX among males, and 4.50 mg/dL, 3.31 mg/dL, and 0.60 mg/dL among females, respectively. The difference in mean SUA between WX and WW genotypes was significantly (p = 8E-12) higher in males (2.26 mg/dL) than in females (1.19 mg/dL). The difference among three genotypes was highly significant both in males (p < 1E-40) and females (p = 1E-33). Table 3 demonstates the SUA distribution in percentage according to the genotype. All five individuals with XX genotype had a SUA of less than 1.0 mg/dL; the range was 0.7 mg/dL to 0.9 mg/dL in males and 0.5 mg/dL to 0.7 mg/dL in females. The SUA of those with WX genotype varied from 0.8 mg/dL to 7.8 mg/dL in males and from 2.0 mg/dL to 6.5 mg/dL in females, while the corresponding values for those with WW genotype were 2.1 mg/dL to 11.4 mg/dL in males and 1.9 mg/dL to 8.9 mg/dL in females. Subjects with WX genotype were 14 (77.8%) of 18 males with SUA 1.0-2.9 mg/dL, and 28 (34.6%) of 81 females with the same range of SUA. The corresponding values were 131 (25.1%) of 522 males and 37 (3.5%) of 1,073 females for SUA 3.0-4.9 mg/dL, and 8 (0.4%) of 2,069 males and 5 (1.1%) of 429 females for SUA 5.0-6.9 mg/dL, as depicted in Figure 2.

Table 3 Serum uric acid (SUA) distribution (%) according to SLC22A12 W258X among Japanese health checkup examinees
Full size table
Figure 2
figure 2

Percentages of SLC2A9 W258X genotype according to serum uric acid levels.

Full size image

The age-adjusted OR (95% CI) of SUA < 3 mg/dL for the X allele was significantly (p < 0.001) higher in males (OR = 102.5, 95% CI, 33.9-309.8) than in females (OR = 25.6, 95% CI, 14.4-45.3). The corresponding ORs were reduced for SUA < 4 mg/dL, as shown in Table 4. Among those with BMI < 25 kg/m2, the age-adjusted OR (95% CI) was 116.3 (32.5-416.8) in 2,514 males and 23.3 (12.7-42.9) in 1,355 females, while they were 78.6 (8.4-731.5) in 899 males with BMI > 25 kg/m2 and 56.2 (9.9-320.4) in 255 females with BMI > 25 kg/m2. When these ORs were adjusted for creatinine and glucose in males and for GGT in females, no substantial differences were observed; for example, the OR of SUA < 3 mg/dL for X allele was 89.8 instead of 102.5 in males and 30.7 instead of 25.6 in females.

Table 4 Odds ratio (OR) and 95% confidence interval (95% CI) of low serum uric acid (SUA) for SLC22A12 W258X among Japanese health checkup examinees
Full size table

Discussion

This study demonstrated the SUA distribution according to SLC22A12 W258X genotype in a general Japanese population. The SUA of all five subjects with XX genotype was less than 1 mg/dL, while SUA of those with WX genotype distributed widely; from 0.8 mg/dL to 7.8 mg/dL in males and from 2.0 mg/dL to 6.5 mg/dL in females. The difference in the mean SUA between WX and WW genotypes was 2.26 mg/dL in males and 1.19 mg/dL in females, indicating that the reduction of the mean SUA due to possessing X allele was significantly larger in males than in females. Since the distribution among the males with WX genotype was closer to that among the females with WW genotype (Table 3), the effect of X allele on SUA was similar to the effect of sex difference. BMI did not significantly modify the effect of the X allele on SUA both for males and females. These findings were actually new for the associations between SLC22A12 W258X and SUA.

Among Japanese, the frequency of 258X allele was 0.024 among 1,875 participants of a cohort study [11], 0.023 among 980 controls in a case-control study [15], and 0.025 among 5,165 participants from another cohort study [16], which were quite similar to the estimate in the present study (0.023). Among Koreans, 258X allele was found in 3 of 5 hypouricemia patients [17], and was 1.1% in a general population [18]. Since this allele has not been reported among other ethnic groups to date, the origin was thought to be in East Asia [19].

Several genotypes affecting SUA have been reported to date. ABCG2 in chromosome 4q22 coding ATP-binding cassette subfamily G member 2 has functional polymorphisms, Q126X (rs72552713) and Q141K (rs2231142), with a minor allele frequency of 0.018 and 0.281 in Japanese, respectively [20]. Although the genotypes with reduced function increase the risk of hyperuricemia [20–22], 126X was rare and 141K was less influential on SUA. SLC2A9 in chromosome 4p16-p15.3 coding glucose transporter 9 (GLUT9) was reported to have mutations (R380W and R198C in Japanese [23], L75R in an Israeli-Arab family, and exon 7 deletion in Ashkenazi-Jewish [24]) causing hypouricemia. Their allele frequency was very rare. Common polymorphisms including MTHFR C677T have been reported to have an association with SUA [25, 26], but the impact was limited in comparison with the above genotypes. Accordingly, SLC22A12 258X seemed to be one of the important genetic traits influencing SUA among Japanese.

The present study discovered that the X allele had a significantly larger impact in males than in females. The OR of possessing the X allele was larger in males than in females; 102.5 vs 25.6 for SUA < 3 mg/dL and 58.2 vs 11.9 for SUA < 4 mg/dL. The differences in mean SUA between males and females were 0.20 mg/dL among those with XX genotype, 0.63 mg/dL among those with WX genotype, and 1.71 mg/dL among those with WW genotype. There was no biological explanation for these phenomena.

In the present study, since the subjects with XX genotype were few, the distriubtion of those with XX genotype might not reflect the distribution of the population with XX genotype. Another limitation was that the medication influencing SUA was not taken into account for the genotype frequency according to the SUA level. Since the medication was common for hyperuricemia, but not for hypouricemia, the effect due to the medication might be limited for low SUA.

Conclusions

In conclusion, this study demonstrated the SUA distribution according to SLC22A12 W258X genotype in a large study. The effect of X allele was larger in males than in females. Since the X allele was influential and relatively common among Japanese, the information on the genotype would be useful for the interpretation of individual SUA. Since SUA distributes widely among Japanese with WX genotype, further studies are warranted to elucidate the determinants of the SUA distribution among those with WX genotype, as well as among those with WW genotype.

Abbreviations

BMI:

body mass index

bp:

base pairs

CI:

confidence interval

GLUT9:

glucose transporter 9

OR:

odds ratio

PCR-CTPP:

polymerase chain reaction with confronting two-pair primers

SUA:

serum uric acid

URAT1:

uric acid transporter 1.

References

  1. Burack RC, Keller JB, Higgins MW: Cardiovascular risk factors and obesity: are baseline levels of blood pressure, glucose, cholesterol and uric acid elevated prior to weight gain?. J Chronic Dis. 1985, 38: 865-872. 10.1016/0021-9681(85)90111-0.

    Article  CAS  PubMed  Google Scholar 

  2. Benedek TG: Correlations of serum uric acid and lipid concentrations in normal, gouty, and atherosclerotic men. Ann Intern Med. 1967, 66: 851-861.

    Article  CAS  PubMed  Google Scholar 

  3. Alderman M: Uric acid in hypertension and cardiovascular disease. Can J Cardiol. 1999, 15 (Suppl F): 20F-22F.

    PubMed  Google Scholar 

  4. Bengtsson C, Tibblin E: Serum uric acid levels in women an epidemiological survey with special reference to women with high serum uric acid values. Acta Med Scand. 1974, 196: 93-102. 10.1111/j.0954-6820.1974.tb00974.x.

    Article  CAS  PubMed  Google Scholar 

  5. Rathmann W, Funkhouser E, Dyer AR, Roseman JM: Relations of hyperuricemia with the various components of the insulin resistance syndrome in young black and white adults: the CARDIA study. Coronary Artery Risk Development in Young Adults. Ann Epidemiol. 1998, 8: 250-261. 10.1016/S1047-2797(97)00204-4.

    Article  CAS  PubMed  Google Scholar 

  6. Nakashima M, Uematsu T, Kosuge K, Kanamaru M: Pilot study of the uricosuric effect of DuP-753, a new angiotensin II receptor antagonist, in healthy subjects. Eur J Clin Pharmacol. 1992, 42: 333-335. 10.1007/BF00266358.

    Article  CAS  PubMed  Google Scholar 

  7. Taniguchi A, Kamatani N: Control of renal uric acid excretion and gout. Curr Opin Rheumatol. 2008, 20: 192-197. 10.1097/BOR.0b013e3282f33f87.

    Article  CAS  PubMed  Google Scholar 

  8. Enomoto A, Kimura H, Chairoungdua A, Shigeta Y, Jutabha P, Cha SH, Hosoyamada M, Takeda M, Sekine T, Igarashi T, Matsuo H, Kikuchi Y, Oda T, Ichida K, Hosoya T, Shimokata K, Niwa T, Kanai Y, Endou H: Molecular identification of a renal urate-anion exchanger that regulates blood urate levels. Nature. 2002, 417: 447-452.

    CAS  PubMed  Google Scholar 

  9. Komoda F, Sekine T, Inatomi J, Enomoto A, Endou H, Ota T, Matsuyama T, Ogata T, Ikeda M, Awazu M, Muroya K, Kamimaki I, Igarashi T: W258X mutation in SLC22A12 is the predominant cause of Japanese renal hypouricemia. Pediatr Nephrol. 2004, 19: 728-733. 10.1007/s00467-004-1424-1.

    Article  PubMed  Google Scholar 

  10. Ichida K, Hosoyamada M, Hisatome I, Enomoto A, Hikita M, Endou H, Hosoya T: Clinical and molecular analysis of patients with renal hypouricemia in Japan- influence of URAT1 gene on urinary urate excretion. J Am Soc Nephrol. 2004, 15: 164-173. 10.1097/01.ASN.0000105320.04395.D0.

    Article  PubMed  Google Scholar 

  11. Iwai N, Mino Y, Hosoyamada M, Tago N, Kokubo Y, Endou H: A high prevalence of renal hypouricemia caused by inactive SLC22A12 in Japanese. Kidney Int. 2004, 66: 935-944. 10.1111/j.1523-1755.2004.00839.x.

    Article  CAS  PubMed  Google Scholar 

  12. Hamajima N, J-MICC Study Group: The Japan Multi-institutional Collaborative Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer. Asian Pac J Cancer Prev. 2007, 8: 317-323.

    PubMed  Google Scholar 

  13. Asai Y, Naito M, Suzuki M, Tomoda A, Kuwabara M, Fukada Y, Okamoto A, Oishi S, Ikeda K, Nakamura T, Misu Y, Katase S, Tokumasu S, Nishio K, Ishida Y, Hishida A, Morita E, Kawai S, Okada R, Wakai K, Tamakoshi A, Hamajima N: Baseline data of Shizuoka area in the Japan Multi-institutional Collaborative Cohort Study (J-MICC Study). Nagoya J Med Sci. 2009, 71: 137-144.

    PubMed  Google Scholar 

  14. Hamajima N, Saito T, Matsuo K, Kozaki K, Takahashi T, Tajima K: Polymerase chain reaction with confronting two-pair primers for polymorphism genotyping. Jpn J Cancer Res. 2000, 91: 865-868.

    Article  CAS  PubMed  Google Scholar 

  15. Taniguchi A, Urano W, Yamanaka M, Yamanaka H, Hosoyamada M, Endou H, Kamatani N: A common mutation in an organic anion transporter gene, SLC22A12, is a suppressing factor for the development of gout. Arthritis Rheum. 2005, 52: 2576-2577. 10.1002/art.21242.

    Article  CAS  PubMed  Google Scholar 

  16. Tabara Y, Kohara K, Kawamoto R, Hiura Y, Nishimura K, Morisaki T, Kokubo Y, Okamura T, Tomoike H, Iwai N, Miki T: Association of four genetic loci with uric acid levels and reduced renal function: the J-SHIPP Suita Study. Am J Nephrol. 2010, 32: 279-286. 10.1159/000318943.

    Article  CAS  PubMed  Google Scholar 

  17. Cheong HI, Kang JH, Lee JH, Ha IS, Kim S, Komoda F, Sekine T, Igarashi T, Choi Y: Mutational analysis of idiopathic renal hypouricemia in Korea. Pediatr Nephrol. 2005, 20: 886-890. 10.1007/s00467-005-1863-3.

    Article  PubMed  Google Scholar 

  18. Lee JH, Choi HJ, Lee BH, Kang HK, Chin HJ, Yoon HJ, Ha IS, Kim S, Choi Y, Cheong HI: Prevalence of hypouricaemia and SLC22A12 mutations in healthy Korean subjects. Nephrology. 2008, 13: 661-666. 10.1111/j.1440-1797.2008.01029.x.

    Article  CAS  PubMed  Google Scholar 

  19. Ichida K, Hosoyamada M, Kamatani N, Kamitsuji S, Hisatome I, Shibasaki T, Hosoya T: Age and origin of the G774A mutation in SLC22A12 causing renal hypouricemia in Japanese. Clin Genet. 2008, 74: 243-251. 10.1111/j.1399-0004.2008.01021.x.

    Article  CAS  PubMed  Google Scholar 

  20. Matsuo H, Takada T, Ichida K, Nakamura T, Nakayama A, Ikebuchi Y, Ito K, Kusanagi Y, Chiba T, Tadokoro S, Takada Y, Oikawa Y, Inoue H, Suzuki K, Okada R, Nishiyama J, Domoto H, Watanabe S, Fujita M, Morimoto Y, Naito M, Nishio K, Hishida A, Wakai K, Asai Y, Niwa K, Kamakura K, Nonoyama S, Sakurai Y, Hosoya T, Kanai Y, Suzuki H, Hamajima N, Shinomiya N: Common defects of ABCG2, a high-capacity urate exporter, cause gout: a functional-based genetic analysis in a Japanese population. Sci Transl Med. 2009, 1: 5ra11-

    Article  PubMed  Google Scholar 

  21. Woodward O, Kottgen A, Coresh J, Boerwinkle E, Guggino WB, Köttgen M: Identification of a urate transporter, ABCG2, with a common functional polymorphism causing gout. PNAS. 2009, 106: 10338-10342. 10.1073/pnas.0901249106.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Yamagishi K, Tanigawa T, Kitamura A, Köttgen A, Folsom AR, Iso H, CIRCS Investigators: The rs2231142 variant of the ABCG2 gene is associated with uric acid levels and gout among Japanese people. Rheumatology. 2010, 49: 1461-1465. 10.1093/rheumatology/keq096.

    Article  CAS  PubMed  Google Scholar 

  23. Matsuo H, Chiba T, Nagamori S, Nakayama A, Domoto H, Phetdee K, Wiriyasermkul P, Kikuchi Y, Oda T, Nishiyama J, Nakamura T, Morimoto Y, Kamakura K, Sakurai Y, Nonoyama S, Kanai Y, Shinomiya N: Mutations in glucose transporter 9 gene SLC2A9 cause renal hypouricemia. Am J Hum Genet. 2008, 83: 744-751. 10.1016/j.ajhg.2008.11.001.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Dinour D, Gray NK, Campbell S, Shu X, Sawyer L, Richardson W, Rechavi G, Amariglio N, Ganon L, Sela BA, Bahat H, Goldman M, Weissgarten J, Millar MR, Wright AF, Holtzman EJ: Homozygous SLC2A9 mutations cause severe renal hypouricemia. J Am Soc Nephrol. 2010, 21: 64-72. 10.1681/ASN.2009040406.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Golbahar J, Aminzadeh MA, Al-Shboul QM, Kassab S, Rezaian GR: Association of methylenetetrahydrofolate reductase (C677T) polymorphism with hyperuricemia. Nutr Metab Cardiovasc Dis. 2007, 17: 462-467. 10.1016/j.numecd.2006.02.002.

    Article  CAS  PubMed  Google Scholar 

  26. Itou S, Goto Y, Suzuki K, Kawai S, Naito M, Ito Y, Hamajima N: Significant association between methylentetrahydrofolate reductase 677T allele and hyperuricemia among adult Japanese subjects. Nutr Res. 2009, 29: 710-715. 10.1016/j.nutres.2009.10.006.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This study was supported in part by a Grant-in-Aid for Scientific Research on Special Priority Areas of Cancer from the Japanese Ministry of Education, Culture, Sports, Science and Technology. We are grateful to Ms Yoko Mitsuda and Ms Keiko Shibata for their technical assistance.

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Authors and Affiliations

  1. Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan

    Nobuyuki Hamajima, Mariko Naito, Asahi Hishida, Rieko Okada & Kenji Wakai

  2. Seirei Social Welfare Community, Hamamatsu, Japan

    Yatami Asai

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Authors' contributions

NH conceived of the study, participated in the design and coordination, and drafted the manuscript. MN and KW participated in the design and coordination, edited the data, and drafted the manuscript. RO contributed the genotyping, establishing PCR primers and PCR conditions for SLC22A12 W258X. AH and YA participated in the coordination, organizing the informed consent process and data/sample collection. All authors read and approved the final manuscript.

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Hamajima, N., Naito, M., Hishida, A. et al. Serum uric acid distribution according to SLC22A12 W258X genotype in a cross-sectional study of a general Japanese population. BMC Med Genet 12, 33 (2011). https://doi.org/10.1186/1471-2350-12-33

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