DNA Traits · Nutrition & metabolism
Uric acid level
The blood level of uric acid, a natural breakdown product.

What the research found
In the cited research, the T allele at rs734553 was associated with higher serum uric acid concentrations in the studied cohorts.
- GG
- Lower average
- GT
- Middle
- TT
- Higher average
What the study found
In the study, each copy went with higher uric acid in the blood on average.
- Evidence
- Genome-wide meta-analysis across cohorts, replicated in later studies
- Who was studied
- European-ancestry adults in fourteen cohorts
How common each genotype is
| Region | GGLower average | GTMiddle | TTHigher average |
|---|---|---|---|
| All regions2,504 people | 14% | 34% | 52% |
| Africa661 people | 34% | 47% | 19% |
| The Americas347 people | 19% | 45% | 36% |
| East Asia504 people | Not seen | 3% | 97% |
| Europe503 people | 6% | 38% | 57% |
| South Asia489 people | 5% | 36% | 59% |
Among the 2,504 people of the 1000 Genomes Project, in five world regions. These percentages describe groups of people, never anyone’s chance of having a trait.
Through time
How often the studied letter was read in ancient people, era by era, in the region chosen.
| Before farmingbefore 6500 BC | 76%82 of 108 copies read |
|---|---|
| First farmers6500 to 3000 BC | 70%784 of 1,118 copies read |
| Bronze Age3000 to 1200 BC | 71%801 of 1,122 copies read |
| Iron Age and Antiquity1200 BC to AD 600 | 74%1,316 of 1,774 copies read |
| Middle AgesAD 600 to 1500 | 77%1,175 of 1,530 copies read |
| Today1000 Genomes | 76%760 of 1,006 copies |
Neanderthal and Denisovan genomes
- Altai Neanderthal
- No copies
- Vindija Neanderthal
- No copies
- Chagyrskaya Neanderthal
- No copies
- Denisovan
- No copies
The marker
- Gene or region
- SLC2A9
- Marker
- rs734553
- Location
- Chromosome 4 · GRCh37 9,923,004 · GRCh38 9,921,380
- Letters studied
- G and T, with T as the studied allele
A DNA Traits report reads this marker in your raw DNA file and shows which of the three genotypes is yours, with how common it is. It counts the copies of the studied allele; it does not measure the trait itself.
- Marker
- SLC2A9 · rs734553
- Location
- Chromosome 4 · GRCh37 9,923,004 · GRCh38 9,921,380
- Studied allele
- T
- Published statistic
- beta 0.315 per T on Z-scores of uric acid (95% CI 0.294 to 0.335), P 5.22e-201, N 27,817, effect allele frequency 76.81%, 3.53% explained variability (Table 1); men 0.220, women 0.397, difference P 3.8e-17 (Table 2); 0.32 SD per copy (Table 1 (All individuals columns) and footnote)
- 1000 Genomes Project phase 3, people with 0, 1 and 2 copies
- All regions 339 / 851 / 1314 · Africa 223 / 311 / 127 · The Americas 65 / 157 / 125 · East Asia 0 / 17 / 487 · Europe 28 / 190 / 285 · South Asia 23 / 176 / 290
What it cannot tell you
In the studied cohorts the association was about twice as large in women as in men. It concerns the blood level only.
Meta-analysis of 28,141 individuals identifies common variants within five new loci that influence uric acid concentrations (Kolz et al., 2009)More in Nutrition & metabolism
- Vitamin D concentration association
- Vitamin B6 concentration association
- Vitamin B12 concentration association
- Folate concentration association
- Retinol concentration association
- Alpha-tocopherol concentration association
- Serum iron concentration association
- Calcium concentration association
- Magnesium concentration association
- Blood selenium association
- Coffee intake
- Coffee intake
- Carbohydrate and protein intake
- Coffee intake
- Coffee intake
- Coffee intake
- Tea intake
- Carbohydrate and protein intake
- Bitter drinks intake
- Fatty acid conversion
- Beta-carotene level
- Vitamin D level, CYP2R1 marker
- Bilirubin level
- Vitamin D level, DHCR7 marker
- Uric acid level, ABCG2 marker
- Red cell zinc level
- Vitamin B12 level, CUBN marker
- Vitamin B12 level, TCN1 marker
- Magnesium level, DCDC5 marker
- Transferrin level
- Morning cortisol level
- TSH level
- Iron level, TFR2 marker
- Omega-3 DHA share
- Calcium level, CYP24A1 marker
- Bilirubin level, SLCO1B3 marker
See your own two letters.
Upload the raw DNA file you already have. Your report reads this marker and every other card studied for you, each with its evidence and its limits.