A common polymorphism in the methylenetetrahydrofolate reductase (MTHFR) gene, where a cytosine at nucleotide 677 is replaced by a thymine (677C→T), is associated with enzyme thermolability and a reduction in the conversion of 5,10-methyltetrahydrofolate (5,10-MTHF) into 5-methyltetrahydrofolate. We assessed the association between homozygosity for the MTHFR 677CT genotype(TT) and colorectal adenoma risk in a large sigmoidoscopy-based case-control study of members of a prepaid health plan in Los Angeles. MTHFR genotype was determined for 471 cases and 510 age-, sex-, clinic-, and sigmoidoscopy-date-matched controls. Information on RBC and plasma folate levels were analyzed for 331 cases and 350 controls. When compared with the presence of at least one wild-type allele (CT/CC), the odds ratio (OR) for the TT genotype was 1.19 [95% confidence interval(CI), 0.77–1.76] after adjusting for race and the matching factors. Compared with those in the lowest quartiles of RBC and plasma folate and a wild-type allele, adenoma risk was increased for TT homozygotes in the lowest folate quartiles (genotype:OR, 2.04 and 95% CI, 0.6–7.0; OR, 1.84 and 95% CI, 0.6–7.0 for RBCs and plasma folate, respectively) and decreased in TThomozygotes in the highest quartiles (genotype: OR, 0.82 and 95% CI,0.32–2.10; OR, 0.65 and 95% CI, 0.22–1.95, respectively). There was also a significant interaction between TT genotype and the increased adenoma risk associated with alcohol. These data are consistent with an interaction between MTHFR genotype and folate availability.

Folates are the primary methyl donors for all intracellular trans-methylation reactions, providing methyl and formyl groups to various substrates. The enzyme MTHFR3irreversibly converts intracellular 5,10-MTHF to 5-MTHF. This conversion is critical in controlling intracellular homocysteine and maintaining adequate SAM levels. SAM is the universal methyl donor, the ultimate source of methyl groups for all protein, lipid, and DNA methylation reactions. Cells synthesize MTHFR under conditions of relative 5-MTHF shortage (1, 2).

A common polymorphism in the MTHFR gene, in which a cytosine at position 677 is replaced by a thymine (677C→T), causes an alanine to valine substitution at that position. Those with the TT genotype have a thermolabile enzyme with about half the activity of the wild-type enzyme at 46°C (3). Homozygosity for the valine substitution was reported recently to be associated with increased plasma homocysteine but only in people with low plasma folate levels (4, 5, 6, 7, 8, 9), demonstrating both the functional consequences of the TT genotype and the dependence of those consequences on available folates.

Three recent studies have reported on the relationship between the MTHFRTT genotype and CRC risk (10, 11, 12). Two groups reported a significantly decreased CRC risk in men with the TT genotype, relative to men with either the wild-type (CC) or heterozygous (CT)genotype (10, 11). Chen et al.(13) subsequently extended these studies to adenomatous polyps, reporting a nonsignificantly increased risk of adenomas in women with the TT genotype in the Nurses’ Health Study. More recently, Ulrich et al.(14) reported an OR for TT compared with CC individuals of 0.8(0.5–1.3) and a decreasing relative risk with increasing folate intake(OR, 0.7; 95% CI, 0.3–1.3) for TT homozygotes consuming>434 μg/day compared with CC homozygotes consuming >434μg/day folate. The Ulrich et al.(14) data also suggested interactions between intakes of vitamins B12, and B6 with MTHFR genotype, with increased adenoma risk among those with lowest B12, and B6 intakes. Thus the relationship between MTHFR genotype and adenomatous polyps remains unclear.

Colorectal adenomas are known to be clinical precursors of CRC (15), and low folate diets have been associated with an increased risk of colorectal adenomas. There are a number of advantages to studying colorectal adenomas instead of CRCs as the end point of interest in epidemiological studies involving dietary exposures. It is possible to select subjects who are relatively asymptomatic so that symptoms do not cause a change in diet. Similarly, most adenomas are too small to have an effect on blood or plasma nutrient levels. Finally, the induction period for adenomas is substantially shorter than for colon cancer; therefore, nutrient measurements made at the time of an epidemiological study are closer in time to the presumed etiological events.

We report here on a large sigmoidoscopy-based case control study of colorectal adenomas in which we estimated the effect of the MTHFR genotype and assessed modification of this effect by levels of RBC, plasma, and estimated total folate intake from foods and dietary supplements. Our results confirm previous findings of an interaction between MTHFRTT genotype and folate availability risk of colorectal adenomas.

Study Population.

The study was approved by the Human Subjects Protection Committee of the University of California, Los Angeles, and by the Kaiser Permanente Institutional Review Board. All subjects signed a written informed consent form approved by the Institutional Review Board. Information on subject eligibility and recruitment are described more completely elsewhere (16). Briefly, subjects were eligible for the study if they underwent screening sigmoidoscopy at either of two Southern California Kaiser Permanente Medical Centers (Bellfower and Sunset) from January 1, 1991, through August 25, 1993, were between the ages of 50 and 74, had no evidence of prior bowel disease, and no previous bowel surgery. Cases were subjects diagnosed for the first time with one or more histologically confirmed adenomas. Controls had no adenomas of any type at sigmoidoscopy, had no history of adenomas,and were individually matched to cases by gender, age (within 5-year category), date of sigmoidoscopy (within 3-month category), and Kaiser Clinic. If the control initially matched to a case was not interviewed,a replacement control was identified.

Clinical and Questionnaire Data.

Additional details of subject recruitment and data collection have been described elsewhere (16). Briefly, cases were individuals diagnosed with their first adenoma during screening sigmoidoscopy, and controls were drawn from the same population but had no adenomas at sigmoidoscopy and no history of adenomas. Adenoma data(e.g., location, size, and number) were obtained from Kaiser pathology reports. Participants provided nondietary data during a 45-min in-person interview an average of 5 months after sigmoidoscopy. For dietary data, we used a 126-item, semiquantitative food frequency questionnaire (17) that inquired about diet in the year before sigmoidoscopy. The questionnaire was mailed, to be completed before the personal interview and then reviewed by the interviewer at the time of the interview.

Standard methods were used to calculate nutrient intake (18). We used the Nutrition Data System (base version 21)as a nutrient database for foods (19). For each subject,the reported frequency of consumption of each item on the questionnaire was multiplied by the nutrient content of the amount generally eaten,and total nutrient intake was obtained by summing, across foods, the amount each nutrient contributed. Data on the nutrient content of supplements were obtained from the Harvard School of Public Health.4Vitamin and dietary supplement data were self reported by either brand name (for multivitamins) or by the nutrient content/day (for single nutrient supplements) on the food frequency questionnaire.

Red Cell and Plasma Folate.

Details of RBC folate determination are described more completely in Bird et al.(20). Briefly, a fasting blood sample was drawn in the morning from 500 cases and 533 controls. RBCs,plasma, and whole blood folate were determined for a subsample of cases and controls, consisting of the first 368 samples collected from male subjects and the first 313 samples collected from female subjects.

The first 561 whole blood samples were assayed by using Quantaphase radioassay kits (Bio-Rad Laboratories, Hercules, CA) and a Beckman Gamma 4000 gamma counter (Beckman Instruments, Inc., Fullerton,CA). The last 120 samples were assayed with Quantaphase II kits. A direct comparison of individual folate values obtained by both kits, in our laboratory, indicated that transformation of Quantaphase II values into Quantaphase values could be obtained accurately by the linear regression formula derived by Bio-Rad Laboratories (21). We calculated red cell folate values from whole blood folate concentrations and corrected for hematocrit and plasma folate levels,according to an established formula (22).

MTHFR Genotype.

Genotype was determined by the PCR-RFLP method of Frosst et al.(3) using their published primer pairs. Amplification was performed in a total reaction mixture of 15 μl containing 1.5 μl each of 10× buffer, deoxynucleotide triphosphates,and each primer; 0.1 μl of DNA polymerase, 0.9 μl of MgCl2, and 3 μl of template DNA, using an initial denaturation at 94°C for 5 min, followed by 30 cycles of 94°C for 30 s, 62°C for 30 s, and 72°C for 30 s,with a final extension at 72°C for 5 min. The reactions were stopped by chilling to 4°C. Restriction digestion was performed by adding 5μl of digestion mix [5 units of HinfI (Boehringer Mannheim, Mannheim, Germany) mixed with 0.5 μ1 of digestion buffer H(Boehringer Mannheim)] and 4 μ1 of double-distilled H2O directly to the PCR product and digesting at 37°C for 2 h. Digestion was stopped by chilling to 4°C. Digested PCR products were visualized by ethidium bromide on a 3.5%Native Agarose Gel (Life Technologies, Grand Island New York). All samples with inadequate DNA amplification or unclear results were genotyped at least three times by the same technician. A random 10%sample of each 96-well microtiter plate was genotyped twice by a technician who was blinded to case-control status and the original genotyping results. All retested samples gave the same genotype reading.

Statistical Analysis.

Exposure was defined as homozygosity for the valine substitution(TT). Homozygous wild-type individuals (CC) were combined with heterozygotes (CT) as a single “unexposed”group, to increase statistical power in stratified analyses. Initial analyses in which heterozygotes were removed from the comparison group were essentially the same as those in which they were combined with homozygous wild-type individuals and are not presented.

RBC and plasma folate, alcohol consumption, and other stratification variables were categorized into quartiles. Category boundaries were determined from the exposure distribution of the entire sample. Nutritional and physiological exposures, such as calories and BMI were entered into the models as continuous variables.

We used t tests and ANOVA to compare mean plasma and RBC folate between levels of genotype and Pearson product correlation coefficients to determine correlations between the different measures of folate status. Statistical tests for correlations or differences in mean values were done using the natural log scale. Initial estimates of the primary genotype effect were obtained with both conditional logistic regression, controlling for race, and an unconditional logistic regression in which the matching factors, age, sex, clinic,and sigmoidoscopy examination date, as well as race, were included. Because the results were essentially identical, only the results of the unconditional analysis are reported here.

During the accrual period, we identified 628 cases and 689 controls who were potentially eligible. Of these, 70 cases and 94 controls refused interview, and we were unable to contact 29 cases and 32 controls. Thus, we obtained interview data for 529 cases and 563 controls. The response rate was 84% among cases and 82% among controls. Fifteen cases had carcinoma in situ in addition to adenomas and were excluded from further analysis. Analyses in which these 15 subjects were included in the case group did not change the results by >1%.

DNA for genotype determination had been used up in prior analyses for 20 of the remaining 1092 subjects (9 cases and 11 controls), leaving a total of 1072 cases for the current analysis. Genotype information was missing for 91 of these subjects (8.5%), 47 cases (9.1%) and 44 controls (7.9%). Missing genotype information generally occurred when subjects had refused to donate blood (n = 59) or when no PCR product was obtained after three tries (n = 30). Genotype could not be clearly assigned for two individuals with amplified DNA. An analysis in which we assumed that all subjects with missing genotypes were either CC or CT(unexposed) or that they were all TT (exposed) did not change the adjusted ORs by >2%. RBC and plasma folate values for stratified analyses were determined as described above.

Among interviewed subjects, the indications for sigmoidoscopy were routine for 45% of cases and 44% of controls, whereas 16% of cases and 13% of controls were referred for sigmoidoscopy for specific minor symptoms. The indication for sigmoidoscopy was not available for the remaining 39% of cases and 43% of controls. The average depth of penetration of the flexible sigmoidoscope was 55 cm for cases (SD, 11 cm) and 59 cm for controls (SD, 5 cm).

Table 1 shows the characteristics of the study population. This Kaiser Permanente population was predominantly male, white, and had a mean age>67 years.

Fifty-two cases and 49 controls were homozygous for the TTgenotype (Table 2). Table 2 presents the association between TT genotype and colorectal adenomas in this population. There was no overall effect of genotype on colorectal adenoma risk (OR, 1.19; CI, 0.78–1.81). Additional adjustment for alcohol use, estimated methionine intake,dietary vitamin B12, BMI, or any other adenoma risk factor identified previously in this study population did not result in a >10% change in this estimate. We had no data on vitamin B6. The estimated OR for the TTgenotype in those with adenomas ≥10 mm was 1.14 (CI, 0.72–1.81),whereas in those with adenomas <10 mm, the estimated OR was 1.19 (CI,0.66–2.17).

There were notable differences between the four ethnic groups in the prevalence of the TT genotype in controls. Whites and Hispanics had the highest TT genotype prevalence (10.1 and 15.2% of controls, respectively), whereas among Asians, the prevalence was 8.8%. The prevalence of the TT genotype was quite low among Black controls, 2.4%.

Matching factor-adjusted ORs were computed for each of the four ethnic groups separately. The main effect of genotype was essentially identical for Whites and Hispanics (OR, 1.29 and 95% CI, 0.75–2.20;OR, 1.29 and 95% CI, 0.58–2.90, respectively). Adjusted ORs for Black and Asian subjects were both <1.0 (OR, 0.50 and 95% CI, 0.05–5.3;OR, 0.53 and 95% CI, 0.11–2.49, respectively), but heterogeneity tests were not statistically significant. Excluding Blacks and Asians from the analysis did not materially effect the results of the unstratified analysis, except to broaden the confidence intervals. The small number of exposed cases (3 Blacks and 8 Asians) were insufficient for further stratified analysis.

Table 3 shows the joint effect of MTHFR genotype and folate on adenoma risk. For those with RBC folate levels in the lowest quartile(<165 ng/ml), subjects with the TT genotype had approximately twice the adenoma risk of those with at least one wild-type allele. At the highest folate levels, adenoma risk was <1.0 for both TT homozygotes and those with a wild-type allele.

There was a statistically significant trend toward a protective effect of higher plasma folate (Ptrend =0.04) among those with the TT genotype, compared with those in the lowest plasma folate quartile and at least one wild-type allele. The statistical interaction between plasma folate and MTHFR genotype was of borderline statistical significance,considering the small stratum-specific sample sizes(Pinteraction = 0.14).

There was a small correlation between dietary folate intake and either RBC or plasma folate, although at this sample size, all values were statistically significant (Table 4). RBC folate, but not plasma folate, varied significantly by genotype(Table 5).

The joint effect of MTHFR genotype and daily alcohol use,estimated vitamin B12 intake, and dietary methionine intakes were also assessed and are presented in Table 6. The MTHFR TT genotype significantly modified the effect of alcohol on adenoma risk (Pinteraction= 0.012). Neither methionine nor vitamin B12intakes were associated with adenoma risk in this population, and MTHFR genotype did not modify these null results.

The data from this study confirm previous reports of an MTHFR/folate interaction on colorectal neoplasia risk (10, 11, 12, 13, 14). Compared with those with at least one wild-type allele, TT homozygotes in the lowest quartiles of either RBC or plasma folate had an approximate doubling of adenoma risk, whereas adenoma risk in TT homozygotes in the highest folate quartile appeared to decrease by 20% (RBC folate) to 50% (plasma folate) compared with the same baseline group. Similarly, in the case of alcohol use, which may be associated with folate depletion (23, 24), TT homozygotes with the highest quartile of alcohol consumption had an ∼150% greater adenoma risk than those in the lowest quartile of alcohol consumption who had at least one wild-type allele. However, for those reporting no alcohol consumption, TT homozygotes appeared to have a 40% lower adenoma risk than those in the same alcohol group with at least one wild-type allele.

It is important to note that because this was a sigmoidoscopy-based study and the entire colon was not examined in controls, these results are limited to adenomas occurring on the left side of the colon, within reach of the sigmoidoscope. If the MTHFRTTgenotype is differentially associated with right-sided adenomas, as reported recently for right-sided CRCs (12), then we may have underestimated the genotype/folate associations in this population by including a small number of individuals with right-sided adenomas in the control group. Approximately 15–17% of subjects with no family history and no adenomas at sigmoidoscopy may have one or more adenomas beyond the reach of the sigmoidoscope (25, 26). Because adenoma prevalence is high in this age group (27), the use of endoscopically screened controls minimized the likelihood of disease misclassification for left-sided adenomas.

Additionally, only subjects with minor or no symptoms were eligible for this study, and the majority of subjects for whom a reason for sigmoidoscopy referral was recorded were either asymptomatic or had only minor symptoms, implying that symptoms from colorectal disease were not important causes of selection into this study or of changed dietary or other behavior that would bias responses to either the dietary questionnaire or the folate measures. Finally, our response rates were relatively high (84% for cases and 82% for controls). We believe these characteristics helped to minimize any potential selection and information biases in this study population.

A possible interaction between MTHFR genotype and plasma folate on colorectal neoplasia risk has been reported by some groups but not by others. Ulrich et al.(14) reported an OR of 1.5 for those with a TT genotype compared with an OR of 0.9 for those with the CC genotype, relative to those in the highest folate tertile and the CC genotype. Ma et al.(11) studied the association between MTHFR genotype and CRC, reporting a significant decrease in CRC risk in men with plasma folate above 3 ng/ml and a slight increase in risk (OR, 1.33; 95% CI, 0.34–5.17) relative to those with a wild-type allele and plasma folate >3 ng/ml. However, CRC risk was similarly increased, compared with the same baseline, in those with low folate intakes and at least one wild-type allele (OR, 1.49; 95% CI,0.76–2.94). Neither Chen et al.(10) nor Slattery et al.(12) observed an increase in CRC risk in TT homozygotes in any folate group, whereas both noted a decreased risk among those with the highest folate intakes and two thermolabile alleles in some groups. In a prospective study of colorectal adenoma, Chen et al.(13) reported an increasing risk with increasing dietary folate intake among those with a TT genotype and a decreasing risk with increasing folate among those with a wild-type allele, when both groups were compared with those in the lowest folate tertile and at least one wild-type allele (13).

A possible interaction between folate status and MTHFRgenotype has been reported consistently in studies of plasma tHCY (4, 5, 8, 28). Although adenoma risk may be etiologically more complex than moderately elevated plasma tHCY, it is possible that these two different outcomes generally reflect a similar set of biological changes in folate metabolism. MTHFR activity is the rate-limiting step in determining the distribution of methyl groups for trans-methylation activities and nucleotide synthesis. The MTHFR product, 5-MTHF, is well known to be a major component in the pathogenesis of moderate homocysteinemia (2, 29). Kim et al.(29) recently reported that plasma tHCY was a more efficient measure of functional 5-MTHF deficiency, when compared with either RBC or plasma folate. Recently, Deloughery et al.(4) reported that plasma tHCY reached undetectable levels at significantly lower plasma folate levels in TT homozygotes than in those with at least one wild-type allele. Similar findings were reported by Malinow et al.(8) and Nelen et al.(9) in separate studies of MTHFR genotype and folate supplementation in moderate homocysteinemia. If generalizable, this finding suggests that intracellular homocysteine levels may be controlled with less available folate in those with a thermolabile MTHFR enzyme. If this is also the case in colonic epithelium, then a similar mechanism could also affect the shift from an increased to a decreased risk of colon neoplasia as plasma folate levels increase to moderate levels.

We can only speculate about the biological mechanisms underlying an apparently exaggerated response to folate availability in TThomozygotes. A simple explanation would be that chronic MTHFR inefficiency, over a lifetime, is associated with compensatory mechanisms. An increase in folate absorption, recycling efficiency, MTHFR synthesis, or all three processes could support a higher ratio of available to unavailable intracellular tetrahydrofolate, providing a relative advantage to TThomozygotes when 5-MTHF levels are sufficient or only moderately low. However, as folate levels fall, such compensations would eventually fail. The resulting shortage of 5,10-MTHF for maintaining nucleotide pool balances (30, 31) and eventually 5-MTHF for controlling the SAM:SAH ratio (2) might become severe, especially in rapidly dividing tissues such as the colon. At this point, we would expect an increase in the adverse outcomes associated with excess uracil incorporation into DNA (32)and, eventually, methylation abnormalities (24).

The MTHFRTT genotype was associated with significantly higher RBC and nonsignificantly lower plasma folate in this study population, and neither was substantively correlated with dietary folate. This is also similar to associations reported by others (4, 7, 11, 33, 34) and emphasizes the usefulness of RBC and plasma folate, rather than dietary folate, as indices of folate status in future studies. It is unclear why MTHFR genotype was significantly related only to plasma folate in this population.

Excess alcohol intake is associated with multiple potentially procarcinogenic changes, including the induction of several phase I enzymes (e.g.,CYP-2E1) as well as folate inhibition (35). A significant interaction between MTHFR genotype and increasing alcohol intake, as observed here, implicates folate metabolism as an important intermediate in the higher adenoma risk of individuals with high alcohol intake, because any effect of MTHFR genotype must involve this critical folate metabolic pathway at some level. On the other hand, we did not see either the main effects of, or genotype interactions between,dietary methionine and B12 intakes, (14) or age (12, 14) on adenoma risk in this study population, most likely because this group of largely older males did not vary enough with respect to these variables.

The thermolabile MTHFR variant may be one of the most common genetic determinants of tHCY levels discovered to date (3, 4, 7, 9, 28). In this study, we have observed an increased adenoma risk in those at the lowest plasma and RBC folate quartiles and a decreased adenoma risk in those with higher plasma or RBC Folates. These data are reminiscent of reports that plasma tHCY may reach undetectable levels at significantly lower plasma folate levels in TT homozygotes than in those with at least one wild-type allele (4, 8, 9), providing independent evidence that the functional consequences of the MTHFR genotype are dependent on folic acid levels. Larger studies of populations with a wide range of plasma folate values will be needed to specify the nature of this interaction.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

        
1

Supported by USPHS Grant 1RO1CA51923 from the National Cancer Institute.

                
3

The abbreviations used are: MTHFR,methylenetetrahydrofolate reductase; 5-MTHF, 5-methyltetrahydrofolate;5,10-MTHF, 5,10-methylenetetrahydrofolate; SAM, S-adenosyl methionine; SAH, S-adenosyl homocysteine; tHCY, plasma total homocysteine; OR, odds ratio; CI,confidence interval; BMI, body mass index; CRC, colorectal cancer.

        
4

L. Sampson, personal communication, 1992.

Table 1

Characteristics of the study population

Risk factorCases (n = 518) n (%)Controls (n = 554) n (%)
Malea 338 (65.3) 370 (66.8) 
Race/Ethnic group   
Whiteb 284 (54.8) 295 (53.3) 
Blackc 87 (16.8) 94 (17.0) 
Hispanic 90 (17.4) 99 (17.9) 
Asian 57 (11.0) 66 (11.9) 
Smoker   
Current 103 (19.9) 63 (11.4) 
Former 235 (45.4) 253 (45.7) 
Never 180 (34.8) 238 (43.0) 
Physical activity >3 h/wk 116 (22.4) 169 (30.5) 
Drink >0 g alcohol/day 291 (56.2) 290 (52.4) 
NSAID use (some) 149 (28.8) 181 (32.7) 
 Mean (SD) Mean (SD) 
Aged 67.2 (6.9) 67.1 (6.9) 
BMI (kg/m2)e 27.5 (4.5) 26.9 (4.8) 
Mean daily dietary intakes   
Total energy (kcal)f 2044 (849) 1924 (812) 
Total fat (g/day) 72.8 (35.3) 65.9 (34.3) 
Saturated fat (g/day) 25.0 (13.0) 22.2 (12.4) 
Vegetable fat (g/day) 35.8 (21.1) 32.6 (18.5) 
Folates   
Totalg (μg/day) 447.8 (262.7) 447.1 (260.7) 
RBC (ng/ml)h 261.4 (146.0) 270.2 (153.2) 
Plasma (ng/ml)i 11.9 (8.8) 13.5 (9.9) 
 Median (1Q–3Q) Median (1Q–3Q) 
Exercise (met-hours/wk)j 14.3 (9.0–29.0) 18 (9.5–30.0) 
Alcohol (g/day) for drinkers 10.4 (2.3–26.1) 6.4 (2.1–17.6) 
Pack-years   
Current smokers 37.5 (15.5–52.5) 37.0 (17.5–47.0) 
Past smoker 23.0 (8.0–42.0) 20.0 (7.0–36.0) 
Risk factorCases (n = 518) n (%)Controls (n = 554) n (%)
Malea 338 (65.3) 370 (66.8) 
Race/Ethnic group   
Whiteb 284 (54.8) 295 (53.3) 
Blackc 87 (16.8) 94 (17.0) 
Hispanic 90 (17.4) 99 (17.9) 
Asian 57 (11.0) 66 (11.9) 
Smoker   
Current 103 (19.9) 63 (11.4) 
Former 235 (45.4) 253 (45.7) 
Never 180 (34.8) 238 (43.0) 
Physical activity >3 h/wk 116 (22.4) 169 (30.5) 
Drink >0 g alcohol/day 291 (56.2) 290 (52.4) 
NSAID use (some) 149 (28.8) 181 (32.7) 
 Mean (SD) Mean (SD) 
Aged 67.2 (6.9) 67.1 (6.9) 
BMI (kg/m2)e 27.5 (4.5) 26.9 (4.8) 
Mean daily dietary intakes   
Total energy (kcal)f 2044 (849) 1924 (812) 
Total fat (g/day) 72.8 (35.3) 65.9 (34.3) 
Saturated fat (g/day) 25.0 (13.0) 22.2 (12.4) 
Vegetable fat (g/day) 35.8 (21.1) 32.6 (18.5) 
Folates   
Totalg (μg/day) 447.8 (262.7) 447.1 (260.7) 
RBC (ng/ml)h 261.4 (146.0) 270.2 (153.2) 
Plasma (ng/ml)i 11.9 (8.8) 13.5 (9.9) 
 Median (1Q–3Q) Median (1Q–3Q) 
Exercise (met-hours/wk)j 14.3 (9.0–29.0) 18 (9.5–30.0) 
Alcohol (g/day) for drinkers 10.4 (2.3–26.1) 6.4 (2.1–17.6) 
Pack-years   
Current smokers 37.5 (15.5–52.5) 37.0 (17.5–47.0) 
Past smoker 23.0 (8.0–42.0) 20.0 (7.0–36.0) 
a,b

Matching factors.

b

Includes 18 individuals who listed their race/ethnic groups as “other.”

c

Includes three individuals who also considered themselves of Hispanic origin.

e

n = 516 cases and 553 controls.

f

n = 553 controls.

g

Dietary + supplemental folate per questionnaire.

h

n = 331 cases and 350 controls.

i

n = 336 cases and 355 controls.

j

Those who exercise >3 met-hours/week.

Table 2

MTHFR genotype prevalence and main effects

GenotypeCasesControlsORa95% CI
TT 52 (11.0%) 49 (9.6%) 1.11 0.71–1.71 
CT 163 (34.6%) 198 (38.9%) 0.85 0.65–1.13 
CC 256 (54.3%) 263 (51.5%) 1.0 Reference 
TT/CT+ CC 52/419 49/461 1.19 0.78–1.81 
GenotypeCasesControlsORa95% CI
TT 52 (11.0%) 49 (9.6%) 1.11 0.71–1.71 
CT 163 (34.6%) 198 (38.9%) 0.85 0.65–1.13 
CC 256 (54.3%) 263 (51.5%) 1.0 Reference 
TT/CT+ CC 52/419 49/461 1.19 0.78–1.81 
a

Adjusted for age, race, sex,clinic, and examination date.

Table 3

MTHFR genotype interaction with RBC and plasma folate

RBC folatea ng/ml (n = 669)52.7–164.7164.8–228.2228.3–314.6314.7–1454P-trend
CC/CT      
Case/Control 81/95 74/78 63/85 65/76  
ORb 1.0 0.86 0.69 0.80 0.22 
95% CI (reference) (0.55–1.35) (0.43–1.08) (0.51–1.28)  
TT      
Case/Control 9/4 7/6 11/9 12/14  
ORb 2.04 1.02 1.12 0.80 0.21 
95% CI (0.60–6.96) (0.32–3.22) (0.44–2.87) (0.33–1.78)  
P interaction     0.45 
Plasma folatec ng/ml (n = 691) 2.0–5.78 5.8–9.51 9.52–17.4 17.5–56.6 P-trend 
CC/CT      
Case/Control 78/74 75/72 74/85 69/87 0.14 
ORb 1.0 0.97 0.82 0.73  
95% CI (reference) (0.62–1.54) (0.52–1.29) (0.46–1.15)  
TT      
Case/Control 14/17 15/11 5/9 6/10 0.04 
ORb 1.84 1.24 0.52 0.54  
95% CI (0.60–6.96) (0.52–2.93) (0.16–1.64) (0.19–1.59)  
P interaction     0.14 
RBC folatea ng/ml (n = 669)52.7–164.7164.8–228.2228.3–314.6314.7–1454P-trend
CC/CT      
Case/Control 81/95 74/78 63/85 65/76  
ORb 1.0 0.86 0.69 0.80 0.22 
95% CI (reference) (0.55–1.35) (0.43–1.08) (0.51–1.28)  
TT      
Case/Control 9/4 7/6 11/9 12/14  
ORb 2.04 1.02 1.12 0.80 0.21 
95% CI (0.60–6.96) (0.32–3.22) (0.44–2.87) (0.33–1.78)  
P interaction     0.45 
Plasma folatec ng/ml (n = 691) 2.0–5.78 5.8–9.51 9.52–17.4 17.5–56.6 P-trend 
CC/CT      
Case/Control 78/74 75/72 74/85 69/87 0.14 
ORb 1.0 0.97 0.82 0.73  
95% CI (reference) (0.62–1.54) (0.52–1.29) (0.46–1.15)  
TT      
Case/Control 14/17 15/11 5/9 6/10 0.04 
ORb 1.84 1.24 0.52 0.54  
95% CI (0.60–6.96) (0.52–2.93) (0.16–1.64) (0.19–1.59)  
P interaction     0.14 
a

Four hundred three (196 cases and 207 controls) were missing values for RBC folate.

b

Adjusted for age, gender,ethnicity, clinic, and exam date.

c

Three hundred eighty-one (182 cases and 199 controls) were missing values for plasma folate.

Table 4

Correlations between folate measures

RBC folate (n = 699)Plasma folate (n = 691)Dietary folate (n = 1059)aSupplemental folate (n = 1059)
RBC folate     
Coefficient 1.0 0.48 0.13 0.35 
P                  b  0.0001 0.0012 0.0001 
Plasma folate     
Coefficient  1.0 0.17 0.40 
P                  b   0.0001 0.0001 
Dietary folate     
Coefficientb   1.0 0.06 
P    0.11 
RBC folate (n = 699)Plasma folate (n = 691)Dietary folate (n = 1059)aSupplemental folate (n = 1059)
RBC folate     
Coefficient 1.0 0.48 0.13 0.35 
P                  b  0.0001 0.0012 0.0001 
Plasma folate     
Coefficient  1.0 0.17 0.40 
P                  b   0.0001 0.0001 
Dietary folate     
Coefficientb   1.0 0.06 
P    0.11 
a

Twenty subjects (6 cases and 7 controls) were missing dietary questionnaire data.

b

All Ps estimated from natural log transformed folate data.

Table 5

Relationships between MTHFR genotype and measures of folate status

GenotypeRBC folate (ng/ml)Plasma folate (ng/ml)Total dietary folate (μg/day)
MeanSDMeanSDMeanSD
TT 305.8 151.0 11.3 9.3 486.4 286.0 
CT 263.0 142.4 13.2 9.8 449.3 261.3 
CC 260.2 154.7 12.7 9.2 439.8 253.3 
Pa 0.03  0.23  0.19  
GenotypeRBC folate (ng/ml)Plasma folate (ng/ml)Total dietary folate (μg/day)
MeanSDMeanSDMeanSD
TT 305.8 151.0 11.3 9.3 486.4 286.0 
CT 263.0 142.4 13.2 9.8 449.3 261.3 
CC 260.2 154.7 12.7 9.2 439.8 253.3 
Pa 0.03  0.23  0.19  
a

All Ps estimated from natural log transformed folate data.

Table 6

MTHFR genotype interaction with dietary intakes of alcohol,methionine, and Vitamin B12

Alcohola g/day00.86–1.041.05–9.49>9.49P-trend
CC/CT      
Case/Control 197/220 27/32 84/106 103/111  
ORb 1.0 0.96 0.91 1.26 0.36 
95% CI reference (0.55–1.66) (0.64–1.29) (0.89–1.78)  
TT      
Case/Control 25/15 2/5 14/11 21/8  
OR 0.69 0.48 1.46 3.13  
95% CI (0.35–1.35) (0.09–2.53) (0.64–3.30) (1.34–7.34) 0.003 
P interaction    0.054 0.012 
Methioninea g/day 0.15–1.3 1.3–1.7 1.7–2.2 2.2–8.8 P-trend 
CC/CT      
Case/Control 109/124 98/108 103/122 109/107  
OR 1.0 1.03 0.98 1.17 0.502 
95% CI reference (0.01–1.51) (0.67–1.42) (0.81–1.70)  
TT      
Case/Control 13/15 13/12 14/9 12/13  
OR 1.03 1.26 1.77 1.08 0.781 
95% CI (0.46–2.27) (0.55–2.90) (0.73–4.28) (0.47–2.48)  
P interaction     0.966 
Vitamin B12a μg/day 0.1–3.5 3.6–5.4 5.4–8.8 8.8–66.3 P-trend 
CC/CT      
Case/Control 104/114 101/116 106/124 108/107  
OR 1.0 0.97 0.94 1.12 0.634 
95% CI reference (0.66–1.41) (0.65–1.37) (0.76–1.63)  
TT      
Case/Control 14/12 15/16 6/11 17/10  
OR 1.29 1.05 0.61 1.92 0.599 
95% CI (0.57–2.94) (0.49–2.25) (0.22–1.71) (0.84–4.42)  
P interaction     0.76 
Alcohola g/day00.86–1.041.05–9.49>9.49P-trend
CC/CT      
Case/Control 197/220 27/32 84/106 103/111  
ORb 1.0 0.96 0.91 1.26 0.36 
95% CI reference (0.55–1.66) (0.64–1.29) (0.89–1.78)  
TT      
Case/Control 25/15 2/5 14/11 21/8  
OR 0.69 0.48 1.46 3.13  
95% CI (0.35–1.35) (0.09–2.53) (0.64–3.30) (1.34–7.34) 0.003 
P interaction    0.054 0.012 
Methioninea g/day 0.15–1.3 1.3–1.7 1.7–2.2 2.2–8.8 P-trend 
CC/CT      
Case/Control 109/124 98/108 103/122 109/107  
OR 1.0 1.03 0.98 1.17 0.502 
95% CI reference (0.01–1.51) (0.67–1.42) (0.81–1.70)  
TT      
Case/Control 13/15 13/12 14/9 12/13  
OR 1.03 1.26 1.77 1.08 0.781 
95% CI (0.46–2.27) (0.55–2.90) (0.73–4.28) (0.47–2.48)  
P interaction     0.966 
Vitamin B12a μg/day 0.1–3.5 3.6–5.4 5.4–8.8 8.8–66.3 P-trend 
CC/CT      
Case/Control 104/114 101/116 106/124 108/107  
OR 1.0 0.97 0.94 1.12 0.634 
95% CI reference (0.66–1.41) (0.65–1.37) (0.76–1.63)  
TT      
Case/Control 14/12 15/16 6/11 17/10  
OR 1.29 1.05 0.61 1.92 0.599 
95% CI (0.57–2.94) (0.49–2.25) (0.22–1.71) (0.84–4.42)  
P interaction     0.76 
a

Twenty subjects (6 cases and 7 controls) were missing dietary questionnaire data.

b

All ORs are adjusted for age,gender, ethnicity, clinic, and exam date.

We thank Dr. Christy Bird for providing us with the folate data used in this analysis and Drs. Ron Ross, John Baron, Heiner Boeing, and Cornelia Ulrich for helpful comments and discussions.

1
Eto I., Krumdieck C. L. Role of vitamin B12 and folate deficiencies in carcinogenesis.
Adv. Exp. Med. Biol.
,
206
:
313
-330,  
1986
.
2
Selhub J., Miller J. W. The pathogenesis of homocysteinemia: interruption of the coordinate regulation by S-adenosylmethionine of the remethylation and transsulfuration of homocysteine.
Am. J. Clin. Nutr.
,
55
:
131
-138,  
1992
.
3
Frosst P., Blom H. J., Milos R., Goyette P., Sheppard C. A., Matthews R. G., Boers G. J., den Heijer M., Kluijtmans L. A., van den Heuvel L. P., et al A candidate genetic risk factor for vascular disease: a common mutation in methylenetetrahydrofolate reductase.
Nat. Genet.
,
10
:
111
-113,  
1995
.
4
Deloughery T. G., Evans A., Sadeghi A., McWilliams J., Henner W. D., Taylor L. M., Jr, Press R. D. Common mutation in methylenetetrahydrofolate reductase: correlation with homocysteine metabolism and late-onset vascular disease..
Circulation
,
94
:
3074
-3078,  
1996
.
5
Jacques P. F., Bostom A. G., Williams R. R., Ellison R. C., Eckfeldt J. H., Rosenberg I. H., Selhub J., Rozen R. Relation between folate status, a common mutation in methylenetetrahydrofolate reductase, and plasma homocysteine concentrations [see comments].
Circulation
,
93
:
7
-9,  
1996
.
6
Harmon D. L., McMaster D., Shields D. C., Whitehead A. S., Rea I. M. MTHFR thermolabile genotype frequencies and longevity in Northern Ireland.
Atherosclerosis
,
131
:
137
-138,  
1997
.
7
Christensen B., Frosst P., Lussier-Cacan S., Selhub J., Goyette P., Rosenblatt D. S., Genest J., Jr, Rozen R. Correlation of a common mutation in the methylenetetrahydrofolate reductase gene with plasma homocysteine in patients with premature coronary artery disease.
Arterioscler. Thromb. Vasc. Biol.
,
17
:
569
-573,  
1997
.
8
Malinow M. R., Nieto F. J., Kruger W. D., Duell P. B., Hess D. L., Gluckman R. A., Block P. C., Holzgang C. R., Anderson P. H., Seltzer D., Upson B., Lin Q. R. The effects of folic acid supplementation on plasma total homocysteine are modulated by multivitamin use and methylenetetrahydrofolate reductase genotypes.
Arterioscler. Thromb. Vasc. Biol.
,
17
:
1157
-1162,  
1997
.
9
Nelen W. L., Blom H. J., Thomas C. M., Steegers E. A., Boers G. H., Eskes T. K. Methylenetetrahydrofolate reductase polymorphism affects the change in homocysteine and folate concentrations resulting from low dose folic acid supplementation in women with unexplained recurrent miscarriages.
J. Nutr.
,
128
:
1336
-1341,  
1998
.
10
Chen J., Giovannucci E., Kelsey K., Rimm E. B., Stampfer M. J., Colditz G. A., Spiegelman D., Willett W. C., Hunter D. J. A methylenetetrahydrofolate reductase polymorphism and the risk of colorectal cancer.
Cancer Res.
,
56
:
4862
-4864,  
1996
.
11
Ma J., Stampfer M. J., Giovannucci E., Artigas C., Hunter D. J., Fuchs C., Willett W. C., Selhub J., Hennekens C. H., Rozen R. Methylenetetrahydrofolate reductase polymorphism, dietary interactions, and risk of colorectal cancer.
Cancer Res.
,
57
:
1098
-1102,  
1997
.
12
Slattery M. L., Potter J. D., Samowitz W., Schaffer D., Leppert M. Methylenetetrahydrofolate reductase, diet, and risk of colon cancer.
Cancer Epidemiol. Biomark. Prev.
,
8
:
513
-518,  
1999
.
13
Chen J., Giovannucci E., Hankinson S. E., Ma J., Willett W. C., Spiegelman D., Kelsey K. T., Hunter D. J. A prospective study of methylenetetrahydrofolate reductase and methionine synthase gene polymorphisms, and risk of colorectal adenoma.
Carcinogenesis (Lond.)
,
19
:
2129
-2132,  
1998
.
14
Ulrich C. M., Bigler J., Chen J., Chu C., Kampman E., Schwartz S., Fodsick L., Dosdick R., Potter J. D. MTHFR polymorphism and risk of adenomatous polyps.
Cancer Epidemiol. Biomark. Prev.
,
8
:
659
-658,  
1999
.
15
Morson B. C. Polyps and cancer of the large bowel.
Monogr. Pathol.
,
18
:
101
-108,  
1977
.
16
Haile R. W., Witte J. S., Longnecker M. P., Probst-Hensch N., Chen M. J., Harper J., Frankl H. D., Lee E. R. A sigmoidoscopy-based case-control study of polyps: macronutrients, fiber and meat consumption.
Int. J. Cancer
,
73
:
497
-502,  
1997
.
17
Rimm E. B., Giovannucci E. L., Stampfer M. J., Colditz G. A., Litin L. B., Willett W. C. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals.
Am. J. Epidemiol.
,
135
:
1114
-1126,  
1992
.
18
Willett W. C. .
Nutritional Epidemiology
,
69
-132, Oxford University Press New York  
1990
.
19
United States Department of Agriculture, Monitoring Division Survey Statistics Branch, Human Nutrition Information Service. Machine-readable data sets on composition of foods and results from food consumption surveys. In: S. S. Branch (ed.), Administrative Report No. 378. Hyattsville, MD: United States Department of Agriculture, 1991.
20
Bird C. L., Swendseid M. E., Witte J. S., Shikany J. M., Hunt I. F., Frankl H. D., Lee E. R., Longnecker M. P., Haile R. W. Red cell and plasma folate, folate consumption, and the risk of colorectal adenomatous polyps.
Cancer Epidemiol. Biomark. Prev.
,
4
:
709
-714,  
1995
.
21
Kune G. A., Kune S., Read A., MacGowan K., Penfold C., Watson L. F. Colorectal polyps, diet, alcohol, and family history of colorectal cancer: a case-control study.
Nutr. Cancer
,
16
:
25
-30,  
1991
.
22
Hoffbrand A. V., Newcombe F. A., Mollin D. L. Method of assay of red cell folate activity and the value of the assay as a test for folate deficiency.
J. Clin. Pathol.
,
19
:
17
-28,  
1966
.
23
Giovannucci E., Rimm E. B., Ascherio A., Stampfer M. J., Colditz G. A., Willett W. C. Alcohol, low-methionine: low-folate diets, and risk of colon cancer in men.
J. Natl. Cancer Inst.
,
87
:
265
-273,  
1995
.
24
Giovannucci E., Stampfer M. J., Colditz G. A., Rimm E. B., Trichopoulos D., Rosner B. A., Speizer F. E., Willett W. C. Folate, methionine, and alcohol intake and risk of colorectal adenoma.
J. Natl. Cancer Inst.
,
85
:
875
-884,  
1993
.
25
Foutch P. G., Mai H., Pardy K., DiSario J. A., Manne R. K., Kerr D. Flexible sigmoidoscopy may be ineffective for secondary prevention of colorectal cancer in asymptomatic, average-risk men.
Dig. Dis. Sci.
,
36
:
924
-928,  
1991
.
26
Rex D. K., Lehman G. A., Ulbright T. M., Smith J. J., Pound D. C., Hawes R. H., Helper D. J., Wiersema M. J., Langefeld C. D., Li W. Colonic neoplasia in asymptomatic persons with negative fecal occult blood tests: influence of age, gender, and family history.
Am. J. Gastroenterol.
,
88
:
825
-831,  
1993
.
27
Hoff G. Colorectal polyps: clinical implications: screening and cancer prevention.
Scand. J. Gastroenterol.
,
22
:
769
-775,  
1987
.
28
Harmon D. L., Woodside J. V., Yarnell J. W., McMaster D., Young I. S., McCrum E. E., Gey K. F., Whitehead A. S., Evans A. E. The common “thermolabile” variant of methylene tetrahydrofolate reductase is a major determinant of mild hyperhomocysteinaemia.
Q. J. Med.
,
89
:
571
-577,  
1996
.
29
Kim Y. I., Fawaz K., Knox T., Lee Y. M., Norton R., Arora S., Paiva L., Mason J. B. Colonic mucosal concentrations of folate correlate well with blood measurements of folate status in persons with colorectal polyps [see comments].
Am. J. Clin. Nutr.
,
68
:
866
-872,  
1998
.
30
Kim Y. I., Pogribny I. P., Basnakian A. G., Miller J. W., Selhub J., James S. J., Mason J. B. Folate deficiency in rats induces DNA strand breaks and hypomethylation within the p53 tumor suppressor gene.
Am. J. Clin. Nutr.
,
65
:
46
-52,  
1997
.
31
James S. J., Yin L., Swendseid M. E. DNA strand break accumulation, thymidylate synthesis and NAD levels in lymphocytes from methyl donor-deficient rats.
J. Nutr.
,
119
:
661
-664,  
1989
.
32
Blount B. C., Ames B. N. DNA damage in folate deficiency.
Baillieres Clin. Haematol.
,
8
:
461
-478,  
1995
.
33
Molloy A. M., Daly S., Mills J. L., Kirke P. N., Whitehead A. S., Ramsbottom D., Conley M. R., Weir D. G., Scott J. M. Thermolabile variant of 5,10-methylenetetrahydrofolate reductase associated with low red-cell folates: implications for folate intake recommendations.
Lancet
,
349
:
1591
-1593,  
1997
.
34
van der Put N. M., Steegers-Theunissen R. P., Frosst P., Trijbels F. J., Eskes T. K., van den Heuvel L. P., Mariman E. C., den Heyer M., Rozen R., Blom H. J. Mutated methylenetetrahydrofolate reductase as a risk factor for spina bifida.
Lancet
,
346
:
1070
-1071,  
1995
.
35
Seitz H. K., Simanowski U. A. Alcohol and carcinogenesis.
Annu. Rev. Nutr.
,
8
:
99
-119,  
1988
.