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 - Tea consumption tendency
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Tea consumption research looks at inherited differences in how often people drink tea across cultures.
Variants near caffeine-metabolism and taste-related genes have been examined for their links to tea preference.
This result reflects research-level variation in beverage preference and is not a recommended intake.
Cuisine, family habits, age, time of day, and personal taste all strongly shape actual tea consumption.
Higher tea 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 |
|---|---|---|---|---|
| rs10832006 | AG | G | 25.39% | |
| rs1481012 | AG | G | 88.80% | |
| rs2117137 | AG | G | 40.48% | |
| rs2472297 | CT | T | 26.14% | |
| rs2664404 | GG | 42.98% | ||
| rs2813703 | AA | A | 57.41% | |
| rs4410790 | CC | C | 63.16% | |
| rs4817505 | TC | C | 38.82% | |
| rs7161654 | CT | T | 70.72% | |
| rs1010123 | -- | A | 23.05% | |
| rs10305664 | -- | C | 35.20% | |
| rs10741694 | -- | C | 62.55% | |
| rs10784970 | -- | C | 75.44% | |
| rs10850705 | -- | T | 44.24% | |
| rs10906187 | -- | G | 37.49% | |
| rs114278367 | -- | G | 97.52% | |
| rs115204443 | -- | A | 1.87% | |
| rs1156588 | -- | G | 79.08% | |
| rs11768350 | -- | C | 84.23% | |
| rs12127737 | -- | A | 22.36% | |
| rs12190405 | -- | A | 78.32% | |
| rs12256016 | -- | G | 26.20% | |
| rs12347368 | -- | 92.58% | ||
| rs12446615 | -- | 43.14% | ||
| rs12554801 | -- | T | 33.89% | |
| rs12591786 | -- | T | 84.10% | |
| rs132904 | -- | C | 77.96% | |
| rs143958513 | -- | C | 1.36% | |
| rs144767533 | -- | C | 88.74% | |
| rs1453548 | -- | A | 33.46% | |
| rs1577146 | -- | T | 56.33% | |
| rs17280180 | -- | G | 41.13% | |
| rs17539694 | -- | C | 36.38% | |
| rs17762577 | -- | T | 45.14% | |
| rs2074551 | -- | C | 27.33% | |
| rs2271961 | -- | C | 49.57% | |
| rs2273446 | -- | G | 17.25% | |
| rs2279844 | -- | 61.74% | ||
| rs2403304 | -- | C | 62.82% | |
| rs2504716 | -- | T | 20.98% | |
| rs2783129 | -- | G | 51.45% | |
| rs28691221 | -- | T | 39.85% | |
| rs319277 | -- | 83.66% | ||
| rs349356 | -- | T | 70.46% | |
| rs34940743 | -- | G | 34.67% | |
| rs35596618 | -- | G | 90.93% | |
| rs56163935 | -- | C | 18.11% | |
| rs56188862 | -- | C | 61.28% | |
| rs57631352 | -- | 70.29% | ||
| rs6462899 | -- | A | 62.38% | |
| rs6593661 | -- | A | 13.67% | |
| rs6872796 | -- | 71.50% | ||
| rs713598 | -- | G | 40.10% | |
| rs73169830 | -- | C | 7.64% | |
| rs73487020 | -- | G | 10.93% | |
| rs76207439 | -- | A | 8.56% | |
| rs77123275 | -- | T | 5.17% | |
| rs7765685 | -- | 46.41% | ||
| rs7778305 | -- | 48.04% | ||
| rs9480167 | -- | C | 21.53% | |
| rs9624470 | -- | A | 57.94% | |
| rs3939638 | -- | 16.63% | ||
| rs13276110 | -- | 77.23% |
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)