Traits - Coffee consumption tendency

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Coffee consumption tendency

Body Composition

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.

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Report markers
87 SNP entries
Genes
0
Research
1 study
Your report

Genetic tendency

Higher coffee consumption tendency

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Behind this report

Review the genes, tested markers and supporting research.

SNPs tested

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.

Genotypes and reported variant frequencies
SNPChromosomeGenotypeVariant alleleFrequency
rs16903275CAA15.73%
rs1956218AGG55.87%
rs2465037CA65.60%
rs993885AA63.26%
rs10193706ACC52.48%
rs11206378AAA64.33%
rs17144566CTT80.55%
rs1906251AAA64.30%
rs2472297CTT26.41%
rs3016390GA61.94%
rs34060476AGG13.37%
rs38319AA82.11%
rs4410790CCC63.30%
rs4697428TTT90.78%
rs66723169CAA23.20%
rs9937053GAA42.40%
rs10127720TCC74.03%
rs3810291AAA67.72%
rs13054099--C73.99%
rs17687539--G79.20%
rs2027950--C47.67%
rs2199936--G88.66%
rs2297508--G64.89%
rs2330783--T98.60%
rs2521501--67.68%
rs2597979--19.64%
rs2613458--C71.90%
rs574367--T21.04%
rs57918684--A15.51%
rs586346--36.48%
rs597045--T69.45%
rs6062682--T46.41%
rs6124969--T36.42%
rs62104180--A95.00%
rs75347775--A24.54%
rs8056750--T35.95%
rs1057868--T28.51%
rs10802317--C36.48%
rs10865548--G82.76%
rs10992783--58.31%
rs111994577--G7.33%
rs114908993--T96.64%
rs115109216--94.44%
rs1153598--G13.48%
rs116094457--T2.93%
rs12201974--T20.39%
rs1260326--C60.47%
rs12699844--46.80%
rs13064780--G62.30%
rs13088645--A42.04%
rs13123752--A61.61%
rs13378244--A41.93%
rs1401444--A65.18%
rs144885044--98.51%
rs149693390--T98.79%
rs1503212--A42.39%
rs181624422--96.95%
rs2422370--G82.05%
rs2494995--C78.22%
rs329124--57.94%
rs35189787--T18.93%
rs395815--A76.61%
rs4233170--G9.46%
rs4624274--56.77%
rs4877113--G39.31%
rs58203904--T79.54%
rs58867452--T9.69%
rs62579068--A19.69%
rs6593661--A86.42%
rs6792502--85.48%
rs7159440--A30.46%
rs73073176--T87.01%
rs73102648--C3.14%
rs7580688--G27.25%
rs7664424--37.88%
rs7774229--A92.56%
rs77936935--97.07%
rs7801593--A75.41%
rs7947502--40.63%
rs10119174--42.84%
rs10997940--T59.79%
rs11518562--T3.65%
rs117692895--C1.29%
rs117810762--A1.80%
rs4475789--G65.47%
rs4719497--C86.52%
rs56113850--C57.76%

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.

Research studies

The following peer-reviewed scientific studies support the genetic associations analyzed in this report.

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Coverage: 18/87 SNP entries detected (20%).

Reference: Human Genome Build 37 (HG19). Other testing companies may report using the opposite strand, requiring conversion for comparison.

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