A genome-wide association study of bitter and sweet beverage consumption
Authors: Zhong VW, Kuang A, Danning RD, Kraft P, van Dam RM, Chasman DI, Cornelis MC
Study sample: 39,924 individuals (european ancestry)
Traits - Coffee consumption tendency
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Coffee consumption is one of the most studied dietary habits because it relates to caffeine metabolism, cardiovascular health, and reward biology.
GWAS work has identified variants in CYP1A2, AHR, and other caffeine-related genes linked to differences in habitual coffee intake.
This result reflects research-level variation in coffee preference and is not a recommended daily intake.
Cuisine, work schedule, sleep needs, sensitivity, social context, and personal taste also strongly shape coffee intake.
Higher coffee consumption tendency
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Review the genes, tested markers and supporting research.
These are the unique genetic markers analyzed for this trait. Genotypes showing "--" were not identified in your DNA file. Report marker totals can include repeated study entries; this table shows each SNP once.
| SNP | Chromosome | Genotype | Variant allele | Frequency |
|---|---|---|---|---|
| rs16903275 | CA | A | 15.73% | |
| rs1956218 | AG | G | 55.87% | |
| rs2465037 | CA | 65.60% | ||
| rs993885 | AA | 63.26% | ||
| rs10193706 | AC | C | 52.48% | |
| rs11206378 | AA | A | 64.33% | |
| rs17144566 | CT | T | 80.55% | |
| rs1906251 | AA | A | 64.30% | |
| rs2472297 | CT | T | 26.41% | |
| rs3016390 | GA | 61.94% | ||
| rs34060476 | AG | G | 13.37% | |
| rs38319 | AA | 82.11% | ||
| rs4410790 | CC | C | 63.30% | |
| rs4697428 | TT | T | 90.78% | |
| rs66723169 | CA | A | 23.20% | |
| rs9937053 | GA | A | 42.40% | |
| rs10127720 | TC | C | 74.03% | |
| rs3810291 | AA | A | 67.72% | |
| rs13054099 | -- | C | 73.99% | |
| rs17687539 | -- | G | 79.20% | |
| rs2027950 | -- | C | 47.67% | |
| rs2199936 | -- | G | 88.66% | |
| rs2297508 | -- | G | 64.89% | |
| rs2330783 | -- | T | 98.60% | |
| rs2521501 | -- | 67.68% | ||
| rs2597979 | -- | 19.64% | ||
| rs2613458 | -- | C | 71.90% | |
| rs574367 | -- | T | 21.04% | |
| rs57918684 | -- | A | 15.51% | |
| rs586346 | -- | 36.48% | ||
| rs597045 | -- | T | 69.45% | |
| rs6062682 | -- | T | 46.41% | |
| rs6124969 | -- | T | 36.42% | |
| rs62104180 | -- | A | 95.00% | |
| rs75347775 | -- | A | 24.54% | |
| rs8056750 | -- | T | 35.95% | |
| rs1057868 | -- | T | 28.51% | |
| rs10802317 | -- | C | 36.48% | |
| rs10865548 | -- | G | 82.76% | |
| rs10992783 | -- | 58.31% | ||
| rs111994577 | -- | G | 7.33% | |
| rs114908993 | -- | T | 96.64% | |
| rs115109216 | -- | 94.44% | ||
| rs1153598 | -- | G | 13.48% | |
| rs116094457 | -- | T | 2.93% | |
| rs12201974 | -- | T | 20.39% | |
| rs1260326 | -- | C | 60.47% | |
| rs12699844 | -- | 46.80% | ||
| rs13064780 | -- | G | 62.30% | |
| rs13088645 | -- | A | 42.04% | |
| rs13123752 | -- | A | 61.61% | |
| rs13378244 | -- | A | 41.93% | |
| rs1401444 | -- | A | 65.18% | |
| rs144885044 | -- | 98.51% | ||
| rs149693390 | -- | T | 98.79% | |
| rs1503212 | -- | A | 42.39% | |
| rs181624422 | -- | 96.95% | ||
| rs2422370 | -- | G | 82.05% | |
| rs2494995 | -- | C | 78.22% | |
| rs329124 | -- | 57.94% | ||
| rs35189787 | -- | T | 18.93% | |
| rs395815 | -- | A | 76.61% | |
| rs4233170 | -- | G | 9.46% | |
| rs4624274 | -- | 56.77% | ||
| rs4877113 | -- | G | 39.31% | |
| rs58203904 | -- | T | 79.54% | |
| rs58867452 | -- | T | 9.69% | |
| rs62579068 | -- | A | 19.69% | |
| rs6593661 | -- | A | 86.42% | |
| rs6792502 | -- | 85.48% | ||
| rs7159440 | -- | A | 30.46% | |
| rs73073176 | -- | T | 87.01% | |
| rs73102648 | -- | C | 3.14% | |
| rs7580688 | -- | G | 27.25% | |
| rs7664424 | -- | 37.88% | ||
| rs7774229 | -- | A | 92.56% | |
| rs77936935 | -- | 97.07% | ||
| rs7801593 | -- | A | 75.41% | |
| rs7947502 | -- | 40.63% | ||
| rs10119174 | -- | 42.84% | ||
| rs10997940 | -- | T | 59.79% | |
| rs11518562 | -- | T | 3.65% | |
| rs117692895 | -- | C | 1.29% | |
| rs117810762 | -- | A | 1.80% | |
| rs4475789 | -- | G | 65.47% | |
| rs4719497 | -- | C | 86.52% | |
| rs56113850 | -- | C | 57.76% |
DNA Genics reports genotypes based on the 'positive' strand of the human genome reference sequence (build 37/HG19). Other companies may use the opposite strand, so genotypes may need conversion for comparison.
The following peer-reviewed scientific studies support the genetic associations analyzed in this report.
Authors: Zhong VW, Kuang A, Danning RD, Kraft P, van Dam RM, Chasman DI, Cornelis MC
Study sample: 39,924 individuals (european ancestry)