What you carry at this position in your DNA and what research says about it.
Caffeine and Kidney Health: 8/10 evidence, 14 publications.
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Sample genotype (not yours): C/C
Typical Coffee Intake and Lower Kidney Risk
Inheriting two copies of the C allele is associated with moderate, typical coffee consumption and a lower risk of kidney stress. This genotype is linked to optimal baseline kidney filtration markers.
What this genotype means: Lower risk of kidney protein leakage; Typical baseline coffee consumption; Favorable metabolic and BMI markers.
Sample genotype (not yours): C/T
Slightly Higher Coffee Intake and Kidney Risk
Carrying one copy of the T allele is linked to a slight increase in habitual coffee consumption and a mild elevation in kidney strain markers. Monitoring caffeine intake can help maintain optimal kidney function.
What this genotype means: Slightly increased risk of kidney strain; Slightly higher habitual coffee consumption; Mildly elevated metabolic and cellular aging markers.
Sample genotype (not yours): T/T
Higher Coffee Intake and Elevated Kidney Risk
Inheriting two copies of the T allele is associated with the highest habitual coffee consumption and an increased risk of kidney strain. Staying mindful of caffeine intake is highly beneficial for this genetic profile.
What this genotype means: Increased risk of kidney protein leakage; Stronger drive for habitual coffee consumption; Higher average BMI and cellular aging markers.
Gene function and biological role
Gene Function: The CYP1A1 gene encodes cytochrome P450 1A1, a critical enzyme primarily active in extrahepatic tissues that metabolizes polycyclic aromatic hydrocarbons often found in roasted coffee beans [1]. Situated in a gene cluster on chromosome 15, it shares a promoter region with CYP1A2, the primary enzyme responsible for clearing caffeine from the body [2]. Together, these neighboring genes coordinate the body's metabolic response to coffee consumption and xenobiotic clearance [1] [2]. Variations in this region alter the expression of both enzymes, directly impacting how rapidly caffeine is processed and how much coffee a person habitually drinks [2] [3].
Variant Impact: The rs2470893 variant is located in the shared upstream flanking region between the CYP1A1 and CYP1A2 genes, acting as a regulatory switch for their expression. Substituting the common C allele with the T allele alters transcriptional activity, leading to changes in habitual coffee consumption [1]. This genetic change is also linked to downstream physiological markers, including kidney filtration indicators and metabolic traits [4] [5]. Because it influences how the body processes dietary compounds, this variant serves as a key genetic link between caffeine intake and metabolic health [1] [6].
Key Insight: This genetic variant acts as a shared regulator for two major metabolic genes, linking your daily coffee cravings directly to markers of kidney filtration and cellular aging.
Location: CYP1A1. Chromosome 15 · 15q24.1 · 74.7 Mb
Estimated prevalence by population
Global 66.2%; European 47.7%; African 89.7%; East Asian 99.8%; South Asian 89.6%; Americas 73.9%; Ashkenazi 66.1%; Finnish 53.3%; Middle Eastern 78.2%; Amish 78.7%.
Estimated CC genotype frequency.
Global 28.6%; European 42.7%; African 10.0%; East Asian 0.2%; South Asian 10.1%; Americas 24.2%; Ashkenazi 30.4%; Finnish 39.4%; Middle Eastern 20.4%; Amish 20.0%.
Estimated CT genotype frequency.
Global 5.2%; European 9.6%; African 0.3%; East Asian < 0.1%; South Asian 0.3%; Americas 2.0%; Ashkenazi 3.5%; Finnish 7.3%; Middle Eastern 1.3%; Amish 1.3%.
Estimated TT genotype frequency.
Showing effects for C/C genotype
Neurology & Mental Health
Behavioral & Personality Traits
Coffee Consumption. Evidence: 7/10. Source: PMID 25288136. Typical Intake.
Organ Systems
Kidney Function & Disease
Kidney Health. Evidence: 8/10. Source: PMID 31511532. Lower Risk.
Cardiovascular & Metabolic
Obesity & Body Composition
Body Mass Index. Evidence: 6/10. Source: PMID 36376304. Typical BMI.
Lifestyle, Fitness & Aging
Aging & Longevity
Cellular Aging. Evidence: 5/10. Source: PMID 36536295. Typical Levels.
Showing effects for C/T genotype
Coffee Consumption. Evidence: 7/10. Source: PMID 25288136. Slightly Higher.
Kidney Health. Evidence: 8/10. Source: PMID 31511532. Slightly Higher Risk.
Body Mass Index. Evidence: 6/10. Source: PMID 36376304. Slightly Higher BMI.
Cellular Aging. Evidence: 5/10. Source: PMID 36536295. Slightly Higher AGEs.
Showing effects for T/T genotype
Coffee Consumption. Evidence: 7/10. Source: PMID 25288136. Higher Intake.
Kidney Health. Evidence: 8/10. Source: PMID 31511532. Higher Risk.
Body Mass Index. Evidence: 6/10. Source: PMID 36376304. Higher BMI.
Cellular Aging. Evidence: 5/10. Source: PMID 36536295. Higher AGEs.
What this genotype means for the people who carry it
Sample genotype: CC (Homozygous)
Having the common C/C genotype means caffeine clearance and coffee consumption patterns remain at baseline levels [1]. Large-scale genetic studies show that this genotype is protective against albuminuria, a key marker of kidney strain and protein leakage in the urine [2]. It is also associated with a lower likelihood of elevated body mass index (BMI) and body fat percentage compared to carrying the T allele [3] [4]. Furthermore, cellular aging markers, specifically advanced glycation end-products (AGEs), tend to be lower in those with this genetic profile [5]. While blood urea nitrogen levels may be slightly higher, overall kidney filtration and metabolic markers remain highly favorable [6]. Maintaining a balanced diet and moderate caffeine intake supports this naturally protective profile.
Lower risk of kidney protein leakage; Typical baseline coffee consumption; Favorable metabolic and BMI markers.
Sample genotype: CT (Heterozygous)
Possessing a single copy of the T allele moderately alters the expression of the CYP1A1 and CYP1A2 metabolic pathway [1]. This genetic variation leads to a slightly higher drive for habitual coffee consumption [1]. On a physiological level, this genotype is associated with a modest increase in albuminuria, indicating a higher risk of protein excretion in the urine [2]. Metabolic studies also show a slight upward trend in body mass index (BMI) and body fat percentage [3] [4]. Additionally, levels of advanced glycation end-products, which serve as markers for cellular aging and tissue stiffness, are slightly elevated [5]. Fortunately, these risks are mild and can be easily managed through healthy lifestyle choices. Keeping daily caffeine consumption moderate is a practical way to support long-term kidney and metabolic health.
Slightly increased risk of kidney strain; Slightly higher habitual coffee consumption; Mildly elevated metabolic and cellular aging markers.
Sample genotype: TT (Homozygous)
Carrying the T/T genotype significantly influences the regulatory region controlling caffeine-metabolizing enzymes [1]. This genetic profile is strongly associated with higher habitual coffee consumption, as the body processes caffeine differently [1]. However, this faster drive for coffee is accompanied by an elevated risk of albuminuria, a primary marker of kidney stress and protein leakage [2]. Metabolic research also links this genotype to higher average body mass index (BMI) and body fat percentage [3] [4]. Furthermore, accumulation of advanced glycation end-products (AGEs) is typically higher, which can impact cellular aging and vascular health [5]. Conversely, blood urea nitrogen levels tend to be lower, though this does not offset the overall kidney strain markers [6]. Prioritizing hydration and keeping caffeine intake within moderate limits are excellent strategies to protect kidney and metabolic wellness.
Increased risk of kidney protein leakage; Stronger drive for habitual coffee consumption; Higher average BMI and cellular aging markers.
Variants with shared genetic architecture
rs2472297 · CYP1A1 Gene · Chr 15 · Caffeine and Kidney Health
rs4646421 · CYP1A1 Gene · Chr 15 · Toxin Metabolism and Cancer
rs1048943 · CYP1A1 Gene · Chr 15 · Environmental Cancer Risk
Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption.
Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria.
Pleiotropic genetic architecture and novel loci for C-reactive protein levels.
A scalable variational inference approach for increased mixed-model association power.
A catalog of genetic loci associated with kidney function from analyses of a million individuals.
Content updated August 2026.
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