Caffeine metabolism gene test results

Customer Name:
Cytochrome P450 1A2
Collection Date:

Reviewed by: Lily Nguyen, Product Manager Laboratory Director (s): Chinh Bach, Ph.D.
Laboratory Test Interpretative Comments:
The liver is responsible for the metabolism of caffeine via cytochrome P450 1A2 enzyme. Caffeine can be broken
down quickly or slowly depending on what variant gene a person has. Rapid caffeine metabolism is indicative of 2
copies of the fast variant (CYP1A2*1A). These individuals are referred as “fast” caffeine metabolizers. In contrast,
slow caffeine metabolism is a result of the slow variant (CYP1A2*1F). These individuals are “slow” caffeine
metabolizers, and will either be homozygous (2 copies of slow variant) or heterozygous (1 copy of slow and 1copy
of fast variant).
“Slow” caffeine metabolizers:
• Homozygous for CYP1A2*1F/*1F or heterozygous for CYP1A2*1A/*1F • Risk of nonfatal heart attack increases by 36% when consuming 2-3 cups of coffee a day, and
consumption of 4 or more cups per day will elevate the nonfatal heart attack risk by 64% [1]
• Individuals under 50 years of age who are “slow” caffeine metabolizers, and drink 4 or more cups of coffee per day may increase their nonfatal heart attack risks by fourfold! [1]
• “Slow” caffeine metabolizers are likely to be harmed than benefit from drinking excessive coffee or other caffeinated drinks; therefore, precautions regarding the amount of caffeine consumption should
be considered for one’s wellbeing

“Fast” caffeine metabolizers:
• Homozygous for the wild type CYP1A2*1A/*1A • Risk of nonfatal heart attack is reduced by 22% when drinking 2-3 cups of coffee per day; while
drinking 4 or more cups has no effect [1].
• “Fast” caffeine metabolizers may benefit more than “slow” caffeine metabolizers when drinking
coffee in moderation as part of their daily lifestyle because of several health benefits of antioxidants found in coffee Laboratory Cytochrome P450 1A2 alleles tested:
• Slow variant: 1 copy of CYP1A2*1F (dominant) Laboratory specimens were analyzed using Allelic Specific Amplification with Real-Time PCR Quantitative

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[1]. Cornelis MC, et al. JAMA 2006; 295: 1135-1141


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