Traits - Bitter alcoholic beverage consumption tendency

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Bitter alcoholic beverage consumption tendency

Nutrient Needs

This research area looks at how often people consume bitter alcoholic drinks like beer, dry wine, or spirits with bitter notes.

GWAS work has identified variants near taste receptor and alcohol-metabolism genes that influence preference for bitter alcoholic beverages.

This result reflects research-level variation in beverage preference and is not a recommendation about alcohol intake.

Cuisine, social context, age of first exposure, overall taste sensitivity, and other lifestyle factors strongly shape real consumption.

Selected sample
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Report markers
97 SNP entries
Genes
0
Research
1 study
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Genetic tendency

Average genetic 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
rs196376GGG57.68%
rs2585807CCC83.10%
rs34060476AGG13.35%
rs3803800AGG78.88%
rs4726481GTT60.10%
rs4787717AAA83.65%
rs4815364AAA60.80%
rs531071AGG53.79%
rs7307912CT76.77%
rs7845740GG35.00%
rs802196CTT32.57%
rs928736TT30.64%
rs9299083TCC23.80%
rs10506274GT51.21%
rs10892761CCC42.70%
rs11940694GGG60.23%
rs1229984CCC97.25%
rs13242133AAA20.51%
rs1891196--G43.60%
rs1981309--G25.21%
rs2018910--T17.97%
rs2274794--67.23%
rs2348072--28.27%
rs2418959--T53.59%
rs2494169--T32.01%
rs2622167--A42.67%
rs28525613--A84.82%
rs17520061--G85.84%
rs28616142--T39.50%
rs28929474--97.98%
rs324012--T44.88%
rs35326581--C74.25%
rs35572189--A36.15%
rs36053727--G56.82%
rs4279114--G24.71%
rs4426365--A36.78%
rs503397--T28.22%
rs606151--A68.89%
rs6136459--59.97%
rs61523335--85.43%
rs61873510--66.87%
rs61884414--G9.48%
rs62135521--95.13%
rs62305780--G10.25%
rs6855649--G36.08%
rs72768626--G94.20%
rs7407346--17.89%
rs74424378--76.21%
rs74790649--A98.23%
rs756747--G52.22%
rs7680631--T69.98%
rs77509885--G5.21%
rs780569--28.95%
rs78119163--G88.38%
rs78423589--A97.38%
rs78631521--A3.45%
rs78876991--C93.53%
rs79059649--A94.64%
rs7935528--A45.07%
rs8016984--49.42%
rs9607812--A81.13%
rs965628--C58.63%
rs973894--G27.94%
rs9809760--C45.36%
rs9826135--T23.06%
rs1004787--A53.28%
rs10894762--77.23%
rs11030084--81.32%
rs1104608--57.39%
rs111519289--A5.35%
rs111712190--T95.64%
rs113443718--69.13%
rs1153628--C14.60%
rs11648570--C10.74%
rs11692435--A8.40%
rs11754010--62.59%
rs11773627--C19.71%
rs117920416--A2.40%
rs11864886--G22.67%
rs11993084--77.27%
rs12544687--T45.11%
rs1260326--C60.34%
rs12943365--G61.09%
rs12945870--T56.83%
rs13135092--G91.76%
rs1315005--G30.21%
rs13157159--20.78%
rs13390019--C86.70%
rs13413953--G63.96%
rs139910--G24.97%
rs145898511--G97.36%
rs16869103--A80.65%
rs17028973--81.18%
rs1724409--T74.15%
rs17747739--T6.23%
rs1788025--59.74%
rs1788820--G65.48%

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.

Browse traits

Coverage: 18/97 SNP entries detected (18%).

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

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