Background: Epidemiologic evidence indicates that greater intakes of vitamin D may decrease the risk of colorectal cancer. Variants in the vitamin D receptor (VDR) gene have the potential to modify associations between vitamin D intake and colorectal cancer.

Methods: Associations between intakes of vitamin D and colorectal cancer were studied in a large case–control study conducted in central and northeastern Pennsylvania including 1,012 cases with histologically confirmed colorectal cancer and 1,080 population-based controls. Associations between 35 tagSNPs encompassing the VDR gene and risk for colorectal cancer as well as gene–diet associations were also assessed among a subset of the population (770 controls, 710 cases).

Results: No significant trends were observed between vitamin D intake and colorectal cancer risk. After adjustment for multiple comparisons, none of the SNPs or haplotypes within the VDR gene were associated with colorectal cancer. There were also no interactions between dietary factors and variants in the entire VDR gene.

Conclusions: Overall, results from this study suggest that vitamin D intake and variants in the VDR gene have little effect on risk for colorectal cancer.

Impact: Increasing vitamin D intake from the diet may not result in decreasing the incidence of colorectal cancer. Cancer Epidemiol Biomarkers Prev; 24(10); 1635–7. ©2015 AACR.

Cancers of the colon and rectum (colorectal cancer) are currently ranked third for both cancer incidence and mortality in the United States. Previous epidemiologic studies have suggested that greater vitamin D intake is associated with reduced colorectal cancer risk, but these results are inconclusive. One possible explanation for the observed inconsistencies between studies is genetic variation within the vitamin D receptor gene (VDR). Individuals with decreased VDR activity could potentially have an increased risk for colorectal cancer compared with those with normal VDR activity, particularly at low vitamin D intakes.

The objectives of the present study were to comprehensively examine associations between colorectal cancer incidence and (1), consumption of supplemental, dietary, and total vitamin D (2), SNPs that tag the common variation in the gene (tagSNPs) in the VDR gene, and (3) the potential interactions between vitamin D intake and variants in the VDR gene, in a population-based case–control study in a high-risk region of central and northeastern Pennsylvania.

Detailed descriptions of this study have been previously described (1–3). Briefly, cases were identified from the Pennsylvania State Cancer Registry within 15 months of diagnosis. To be eligible, case participants had to have a first time, histologically confirmed diagnosis of colon, rectal, or colorectal cancer and be English-speaking. Controls were residents of the same region with no history of colorectal cancer and were identified by random digit dialing.

Participants completed a modified version of the Diet History Questionnaire (DHQ), a validated food frequency questionnaire (FFQ) developed by the NCI (4). This DHQ was modified to examine more comprehensively and accurately the distinct dietary intake habits of subjects recruited from the population of central and northeast Pennsylvania as described previously (3).

A total of 35 tagSNPs were selected for the VDR gene by analyzing individuals of northern and western European ancestry collected by the Centre d'Etude du Polymorphisme Humain (CEPH) from HapMap.org according to the following criteria: (i) SNPs were located in the VDR gene or within its 5-kb 5′ or 3′ flanking region, (b) had a minor allele frequency ≥ 0.05, and (c) the other unselected SNPs could be captured by one of the tagging SNPs with a linkage disequilibrium r2 ≥ 0.80 (mean r2 = 0.98). Correction for multiple comparisons was performed using the false-discovery rate (FDR) (5). All analyses were two-sided and considered significant if P < 0.05 for all tests. Statistical analyses were performed using SAS statistical software (version 9.3; SAS Institute). The Institutional Review Boards at the participating institutes, the Northeast Regional Cancer Institute (Scranton, PA) and the Penn State College of Medicine (Hershey, PA), reviewed and approved all study procedures.

Characteristics of the study participants have been described previously (1–3). Overall, controls were younger, better educated, and consumed greater amounts of supplemental and total vitamin D, calcium, and fiber. Controls also had lower body mass index (BMI), were more likely to regularly use NSAIDs, consumed more alcohol, and were less likely to have a family history of colorectal cancer. In multivariate analyses, there was no clear pattern of association between vitamin D intake and risk for colorectal cancer (Table 1). In the age- and sex-adjusted model, subjects consuming >10 μg/d of supplemental vitamin D were inversely associated with colorectal cancer [OR, 0.61; 95% confidence interval (CI), 0.48–078; FDR Ptrend = 0.005]. Similarly, those with the highest intakes of total vitamin D (>15.5 μg/d) were inversely associated with colorectal cancer (OR, 0.68; 95% CI, 0.52–0.88; FDR Ptrend < 0.001); neither of these remained significant in the fully-adjusted model.

Table 1.

ORs and 95% CIs for the main effects of vitamin D intake and risk of colorectal cancer

Range (μg/day)ControlsCasesORa (95% CI)FDR P valueORb (95% CI)FDR P value
Dietary vitamin D 
 Quartile 1 ≤2.65 270 277 1.00  1.00  
 Quartile 2 2.66–3.44 270 215 0.71 (0.56–0.92) 0.018 0.76 (0.58–1.01) 0.079 
 Quartile 3 3.45–4.64 270 257 0.81 (0.63–1.04) 0.139 0.88 (0.67–1.15) 0.384 
 Quartile 4 >4.65 270 263 0.87 (0.68–1.11) 0.301 1.04 (0.78–1.38) 0.791 
  P-trend    0.532 0.573 0.432 0.465 
Supplemental vitamin D 
 No use 0 (none) 345 349 1.00  1.00  
 Any vs. none >0.1 735 663 0.85 (0.71–1.03) 0.088 1.14 (0.93–1.41) 0.226 
 Low vs. none ≤10 450 455 0.98 (0.80–1.20) 0.891 1.18 (0.95–1.47) 0.164 
 High vs. none >10 285 208 0.61 (0.48–0.78) <0.001 0.99 (0.73–1.35) 0.967 
  P-trend    0.003 0.005 0.433 0.467 
Total vitamin D 
 Quartile 1 ≤4.12 270 260 1.00  1.00  
 Quartile 2 4.12–11.27 270 292 1.04 (0.82–1.33) 0.735 1.38 (1.05–1.80) 0.026 
 Quartile 3 11.28–15.48 270 242 0.82 (0.64–1.06) 0.189 1.05 (0.80–1.38) 0.725 
 Quartile 4 >15.48 270 218 0.68 (0.52–0.88) 0.007 1.29 (0.90–1.84) 0.185 
  P-trend    <0.001 <0.001 0.847 0.847 
Range (μg/day)ControlsCasesORa (95% CI)FDR P valueORb (95% CI)FDR P value
Dietary vitamin D 
 Quartile 1 ≤2.65 270 277 1.00  1.00  
 Quartile 2 2.66–3.44 270 215 0.71 (0.56–0.92) 0.018 0.76 (0.58–1.01) 0.079 
 Quartile 3 3.45–4.64 270 257 0.81 (0.63–1.04) 0.139 0.88 (0.67–1.15) 0.384 
 Quartile 4 >4.65 270 263 0.87 (0.68–1.11) 0.301 1.04 (0.78–1.38) 0.791 
  P-trend    0.532 0.573 0.432 0.465 
Supplemental vitamin D 
 No use 0 (none) 345 349 1.00  1.00  
 Any vs. none >0.1 735 663 0.85 (0.71–1.03) 0.088 1.14 (0.93–1.41) 0.226 
 Low vs. none ≤10 450 455 0.98 (0.80–1.20) 0.891 1.18 (0.95–1.47) 0.164 
 High vs. none >10 285 208 0.61 (0.48–0.78) <0.001 0.99 (0.73–1.35) 0.967 
  P-trend    0.003 0.005 0.433 0.467 
Total vitamin D 
 Quartile 1 ≤4.12 270 260 1.00  1.00  
 Quartile 2 4.12–11.27 270 292 1.04 (0.82–1.33) 0.735 1.38 (1.05–1.80) 0.026 
 Quartile 3 11.28–15.48 270 242 0.82 (0.64–1.06) 0.189 1.05 (0.80–1.38) 0.725 
 Quartile 4 >15.48 270 218 0.68 (0.52–0.88) 0.007 1.29 (0.90–1.84) 0.185 
  P-trend    <0.001 <0.001 0.847 0.847 

aAdjusted for age and sex.

bAdjusted for age, sex, BMI, family history of colorectal cancer, smoking, education, NSAID use, and intakes of total energy, alcohol, fiber, and dietary calcium.

Because of insufficient genomic DNA obtained from some subjects, there were differences in the sample numbers for the epidemiologic and genetic datasets. There were no major differences between the two datasets. There was no effect of race in the dataset as 98% of the epidemiologic dataset was Caucasian, and only Caucasians were used in the genotyped dataset. Of the 35 tagSNPs evaluated, only one was marginally associated with colorectal cancer; however, none remained statistically significant after FDR correction (Table 2). There were no significant gene–diet interactions, even at the P = 0.1 cutoff. No haplotypes were significant after correction for multiple comparisons.

Table 2.

OR and 95% CI for the main effect of SNPs in VDR gene and colorectal cancer

SNPCasesControlsAllele odds ratio95% Lower CL95% Upper CLP value genotype testP value for allele testP value for trend test
rs3782905 705 753 0.97 0.83 1.14 0.841 0.708 0.713 
rs2283342 701 749 0.85 0.69 1.03 0.131 0.103 0.099 
rs2239182 692 733 0.93 0.80 1.08 0.571 0.345 0.342 
rs11574077 709 767 0.71 0.51 1.00 0.159 0.052 0.056 
rs11574027 710 768 1.50 0.83 2.71 0.353 0.178 0.193 
rs2238136 699 732 1.22 1.03 1.44 0.054 0.021 0.020 
rs11574046 687 706 0.96 0.74 1.25 0.795 0.761 0.767 
rs2107301 696 739 1.07 0.91 1.26 0.622 0.404 0.402 
rs11168287 692 739 0.96 0.83 1.12 0.596 0.633 0.641 
rs3819545 697 745 0.96 0.83 1.12 0.777 0.604 0.609 
rs4237855 646 700 0.91 0.78 1.05 0.541 0.198 0.284 
rs3847987 706 750 1.01 0.81 1.26 0.809 0.912 0.912 
rs2239186 701 754 0.89 0.75 1.07 0.376 0.223 0.212 
rs11168275 701 741 1.02 0.86 1.21 0.965 0.807 0.809 
rs11574026 706 762 0.85 0.67 1.06 0.353 0.150 0.149 
rs2853564 695 726 0.94 0.81 1.09 0.579 0.418 0.422 
rs10875695 698 749 1.07 0.90 1.26 0.718 0.449 0.449 
rs11568820 708 758 1.05 0.88 1.26 0.721 0.587 0.601 
rs7299460 701 746 0.99 0.84 1.16 0.573 0.876 0.879 
rs11168267 679 695 1.02 0.81 1.29 0.901 0.848 0.846 
rs2239181 700 757 1.01 0.80 1.28 0.619 0.941 0.940 
rs12721364 697 729 1.00 0.81 1.23 0.744 0.992 0.992 
rs4516035 698 733 0.98 0.85 1.14 0.620 0.790 0.799 
rs10875693 698 735 0.95 0.81 1.11 0.418 0.503 0.511 
rs2189480 697 751 1.02 0.88 1.18 0.071 0.814 0.815 
rs2239179 688 710 0.91 0.78 1.05 0.297 0.202 0.182 
rs4760655 703 750 0.93 0.80 1.09 0.664 0.376 0.378 
rs4328262 699 714 1.02 0.87 1.18 0.947 0.842 0.843 
rs4760648 676 683 1.03 0.89 1.20 0.275 0.672 0.670 
rs2254210 704 748 0.92 0.79 1.08 0.402 0.312 0.304 
rs12717991 703 731 0.91 0.79 1.06 0.522 0.240 0.261 
rs6580642 701 747 1.04 0.85 1.27 0.914 0.686 0.688 
rs1544410 700 742 1.12 0.96 1.30 0.244 0.149 0.147 
rs4760733 687 702 0.91 0.78 1.06 0.202 0.222 0.223 
rs3890733 706 753 1.10 0.94 1.28 0.304 0.240 0.248 
SNPCasesControlsAllele odds ratio95% Lower CL95% Upper CLP value genotype testP value for allele testP value for trend test
rs3782905 705 753 0.97 0.83 1.14 0.841 0.708 0.713 
rs2283342 701 749 0.85 0.69 1.03 0.131 0.103 0.099 
rs2239182 692 733 0.93 0.80 1.08 0.571 0.345 0.342 
rs11574077 709 767 0.71 0.51 1.00 0.159 0.052 0.056 
rs11574027 710 768 1.50 0.83 2.71 0.353 0.178 0.193 
rs2238136 699 732 1.22 1.03 1.44 0.054 0.021 0.020 
rs11574046 687 706 0.96 0.74 1.25 0.795 0.761 0.767 
rs2107301 696 739 1.07 0.91 1.26 0.622 0.404 0.402 
rs11168287 692 739 0.96 0.83 1.12 0.596 0.633 0.641 
rs3819545 697 745 0.96 0.83 1.12 0.777 0.604 0.609 
rs4237855 646 700 0.91 0.78 1.05 0.541 0.198 0.284 
rs3847987 706 750 1.01 0.81 1.26 0.809 0.912 0.912 
rs2239186 701 754 0.89 0.75 1.07 0.376 0.223 0.212 
rs11168275 701 741 1.02 0.86 1.21 0.965 0.807 0.809 
rs11574026 706 762 0.85 0.67 1.06 0.353 0.150 0.149 
rs2853564 695 726 0.94 0.81 1.09 0.579 0.418 0.422 
rs10875695 698 749 1.07 0.90 1.26 0.718 0.449 0.449 
rs11568820 708 758 1.05 0.88 1.26 0.721 0.587 0.601 
rs7299460 701 746 0.99 0.84 1.16 0.573 0.876 0.879 
rs11168267 679 695 1.02 0.81 1.29 0.901 0.848 0.846 
rs2239181 700 757 1.01 0.80 1.28 0.619 0.941 0.940 
rs12721364 697 729 1.00 0.81 1.23 0.744 0.992 0.992 
rs4516035 698 733 0.98 0.85 1.14 0.620 0.790 0.799 
rs10875693 698 735 0.95 0.81 1.11 0.418 0.503 0.511 
rs2189480 697 751 1.02 0.88 1.18 0.071 0.814 0.815 
rs2239179 688 710 0.91 0.78 1.05 0.297 0.202 0.182 
rs4760655 703 750 0.93 0.80 1.09 0.664 0.376 0.378 
rs4328262 699 714 1.02 0.87 1.18 0.947 0.842 0.843 
rs4760648 676 683 1.03 0.89 1.20 0.275 0.672 0.670 
rs2254210 704 748 0.92 0.79 1.08 0.402 0.312 0.304 
rs12717991 703 731 0.91 0.79 1.06 0.522 0.240 0.261 
rs6580642 701 747 1.04 0.85 1.27 0.914 0.686 0.688 
rs1544410 700 742 1.12 0.96 1.30 0.244 0.149 0.147 
rs4760733 687 702 0.91 0.78 1.06 0.202 0.222 0.223 
rs3890733 706 753 1.10 0.94 1.28 0.304 0.240 0.248 

In this study, no significant trends were observed between dietary or total vitamin D intake and risk for colorectal cancer after adjustment for known colorectal cancer risk factors (Table 1). There were also no SNPs or haplotypes within the VDR gene associated with colorectal cancer after correction for multiple comparisons. The results from the present study do not support those from a recent meta-analysis showing an inverse association between dietary vitamin D intake and colorectal cancer as well as an inverse association between the BsmI polymorphism (BB vs. bb, rs1544410) and colorectal cancer (6); however, the decreased number of subjects in the present genetic dataset may have limited our power to detect modest associations.

Previous studies that have found inverse associations between dietary vitamin D intake and colorectal cancer have controlled for similar covariates in their multivariate model (6) as was performed in the present study. The addition of calcium to our model has the largest effect on observed associations. When calcium is removed from the model, a nonsignificant inverse association is observed for the upper two quartiles of total vitamin D intake with a near-significant inverse trend (FDR Ptrend = 0.059; data not shown). Our results are similar to those from other studies which have controlled for calcium when evaluating the effect of vitamin D on colorectal cancer (7, 8). Further studies evaluating additional genes or using biomarker data may help elucidate the complex relationship between vitamin D and risk for colorectal cancer.

No potential conflicts of interest were disclosed.

Conception and design: C.J. Gallagher, S.M. Lesko, J.E. Muscat, T.J. Hartman, P. Lazarus

Development of methodology: J.E. Muscat

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): S.M. Lesko, J.E. Muscat, T.J. Hartman

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): J.H. Ashmore, C.J. Gallagher, T.J. Hartman, P. Lazarus

Writing, review, and/or revision of the manuscript: J.H. Ashmore, C.J. Gallagher, T.J. Hartman, P. Lazarus

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J.H. Ashmore, S.M. Lesko

Study supervision: P. Lazarus, S.M. Lesko

This publication was funded by the Pennsylvania Department of Health Grant number 4100038714 (to P. Lazarus).

The costs of publication of this articlewere 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.
Ashmore
JH
,
Lesko
SM
,
Muscat
JE
,
Gallagher
CJ
,
Berg
AS
,
Miller
PE
, et al
Association of dietary and supplemental folate intake and polymorphisms in three FOCM pathway genes with colorectal cancer in a population-based case-control study
.
Genes Chromosomes Cancer
2013
;
52
:
945
53
.
2.
Angstadt
AY
,
Hartman
TJ
,
Lesko
SM
,
Muscat
JE
,
Zhu
J
,
Gallagher
CJ
, et al
The effect of UGT1A and UGT2B polymorphisms on colorectal cancer risk: haplotype associations and gene-environment interactions
.
Genes Chromosomes Cancer
2014
;
53
:
454
66
.
3.
Miller
PE
,
Lazarus
P
,
Lesko
SM
,
Muscat
JE
,
Harper
G
,
Cross
AJ
, et al
Diet index-based and empirically derived dietary patterns are associated with colorectal cancer risk
.
J Nutr
2010
;
140
:
1267
73
.
4.
Subar
AF
,
Thompson
FE
,
Kipnis
V
,
Midthune
D
,
Hurwitz
P
,
McNutt
S
, et al
Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America's Table Study
.
Am J Epidemiol
2001
;
154
:
1089
99
.
5.
Benjamini
Y
,
Hochberg
Y
. 
Controlling the false discovery rate: a practical and powerful approach to multiple testing
.
J R Stat Soc B (Methodological)
1995
;
57
:
289
300
.
6.
Touvier
M
,
Chan
DS
,
Lau
R
,
Aune
D
,
Vieira
R
,
Greenwood
DC
, et al
Meta-analyses of vitamin D intake, 25-hydroxyvitamin D status, vitamin D receptor polymorphisms, and colorectal cancer risk
.
Cancer Epidemiol Biomarkers Prev
2011
;
20
:
1003
16
.
7.
Kampman
E
,
Slattery
ML
,
Caan
B
,
Potter
JD
. 
Calcium, vitamin D, sunshine exposure, dairy products and colon cancer risk (United States)
.
Cancer Causes Control
2000
;
11
:
459
66
.
8.
Terry
P
,
Baron
JA
,
Bergkvist
L
,
Holmberg
L
,
Wolk
A
. 
Dietary calcium and vitamin D intake and risk of colorectal cancer: a prospective cohort study in women
.
Nutr Cancer
2002
;
43
:
39
46
.