Abstract
Background
Folate, vitamin B6 and vitamin B12 have been associated with digestive system cancers. We conducted a two-sample Mendelian randomisation study to assess the causality of these associations.
Methods
Two, one and 14 independent single nucleotide polymorphisms associated with serum folate, vitamin B6 and vitamin B12 at the genome-wide significance threshold were selected as genetic instruments. Summary-level data for the associations of the vitamin-associated genetic variants with cancer were obtained from the UK Biobank study including 367,561 individuals and FinnGen consortium comprising up to 176,899 participants.
Results
Genetically predicted folate and vitamin B6 concentrations were not associated with overall cancer, overall digestive system cancer or oesophageal, gastric, colorectal or pancreatic cancer. Genetically predicted vitamin B12 concentrations were positively associated with overall digestive system cancer (ORSD, 1.12; 95% CI 1.04, 1.21, p = 0.003) and colorectal cancer (ORSD 1.16; 95% CI 1.06, 1.26, p = 0.001) in UK Biobank. Results for colorectal cancer were consistent in FinnGen and the combined ORSD was 1.16 (95% CI 1.08, 1.25, p < 0.001). There was no association of genetically predicted vitamin B12 with any other site-specific digestive system cancers or overall cancer.
Conclusions
These results provide evidence to suggest that elevated serum vitamin B12 concentrations are associated with colorectal cancer.
Subject terms: Predictive markers, Gastrointestinal cancer, Cancer genetics
Background
Folate, vitamin B6 and vitamin B12 have important roles in DNA methylation, synthesis and repair and have been proposed to modify the risk of cancer, in particular digestive system cancers. Notwithstanding, the association between these B vitamins and digestive system cancers is not fully understood. Findings on folate in relation to risk of colorectal cancer are conflicting with neutral,1 inverse2 and positive3 associations reported, whereas folate intake appears to lower the risk of upper gastrointestinal system cancers.4,5 Vitamin B6 and its principal active coenzyme form (pyridoxal 5′-phosphate) were identified to be associated with a reduced risk of all cancers and gastrointestinal cancers in a systematic review and meta-analysis involving 121 observational studies.6 Although randomised controlled trials (RCTs) have revealed no association between supplementation of B vitamins and overall cancer incidence, no trials to date have studied cancer as the primary endpoint or with sufficient incident cancers.6 Elevated plasma vitamin B12 concentrations have been associated with an increased cancer incidence within the first year of follow-up,7,8 but the long-term consequences of elevated vitamin B12 concentrations on the risk of overall digestive system cancer have been scarcely investigated and results are conflicting.3,9–11
Multivitamins and B vitamin supplements are commonly used in adults. Approximately 30–40% of U.S. adults take folate, vitamin B6 or vitamin B12 supplements, and the percentages are even higher among older Caucasian women.12 Meanwhile, cancer projects a heavy burden on human health worldwide.13 Thus, it is of great importance to understand the role of supplementation of B vitamins on cancer development.
Mendelian randomisation (MR) analysis can strengthen the causal inference in an exposure-outcome association by using genetic variants as instruments for an exposure.14 The MR design can minimise residual confounding and reverse causation biases.14 Here, we conducted an MR investigation to determine the associations of genetically predicted circulating concentrations of folate and of vitamins B6 and B12 concentrations with the risk of overall and digestive system cancers. Folate and vitamin B12 deficiency is associated with pernicious anaemia and mean corpuscular volume,15 which were used as positive control outcomes for the genetic instrument for folate and vitamin B12 concentrations (Supplementary method).
Methods
Genetic instrument selection
Three, one and 15 single nucleotide polymorphisms (SNPs) associated with serum folate, vitamin B6 and vitamin B12 at the genome-wide significance level (p < 5 × 10−8) were identified in meta-analyses of genome-wide association studies (GWASs) on folate (37,341 individuals of European ancestries),16 vitamin B6 (1864 individuals of European descent),17 and vitamin B12 (45,576 individuals of European ancestries).16 The average concentrations of B vitamins in these GWASs were ~20.0 nmol/L for folate, 9.4 ng/mL for vitamin B6 and 391.0 pmol/L for vitamin B12. The SNPs explained ~1.0%, 2.8% and 6.3% phenotypic variance for folate, vitamin B6 and vitamin B12, respectively. Linkage disequilibrium among SNPs for folate and vitamin B12 was estimated based on the 1000 Genomes European panel and SNPs with linkage disequilibrium (r2 > 0.01 or clumping distance>10 kb) were removed, leaving two and 14 SNPs as instrumental variables for serum folate and vitamin B12, respectively.
Cancer data sources
We obtained summary-level data (beta coefficients and corresponding standard errors) for the associations of the B vitamin-associated SNPs with cancer from the UK Biobank study18 and the FinnGen consortium.19 In UK Biobank, there were 90,363 cases for overall cancer, 11,061 cases for digestive system cancer (including oesophageal, gastric, pancreatic, hepatocellular, biliary tract and colorectal cancers), 1228 cases for oesophageal cancer, 994 cases for gastric cancer, 6995 cases for colorectal cancer and 1747 cases for pancreatic cancer and up to 307,914 non-cancer cases. The FinnGen ascertained 29,617 cases for overall cancer, 4298 cases for digestive system cancer (similarly defined in UK Biobank), 193 cases for oesophageal cancer, 506 cases for gastric cancer, 2435 cases for colorectal cancer and 519 cases for pancreatic cancer and 147,282 non-cancer cases. Data sources descriptions, diagnostic information and used data are presented in Supplementary Methods and Supplementary Tables 1–3.
Statistical analysis
The inverse-variance weighted method under a multiplicative random-effects model was employed as the primary statistical method.20 Estimates from UK Biobank and FinnGen were combined using fixed-effects meta-analysis. We performed several sensitivity analyses (Supplementary methods). The I2 statistic was calculated to assess the heterogeneity21 and the p-value for intercept in MR-Egger was used to assess the directional pleiotropy.22 Pleiotropic associations of the used SNPs with other traits were searched in PhenoScanner V2 (Supplementary Table 4).23 We scaled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to one standard deviation (SD) increase in serum folate, vitamin B6 and vitamin B12 concentrations. The Bonferroni method was used to correct for multiple testing, and associations with p-values < 0.008 (p = 0.05/6 outcomes) were regarded significant. All analyses were two-sided and performed using the mrrobust package24 in Stata/SE 15.0 and TwoSampleMR25 in R Software 3.6.0.
Results
Associations for positive controls are presented in Supplementary results and Supplementary Figs. 1, 2. Genetically predicted circulating concentrations of folate and vitamin B6 were not associated with risk of overall cancer, overall digestive system cancer or oesophageal, gastric, colorectal or pancreatic cancer in either UK Biobank or FinnGen (Figs. 1 and 2). Genetically predicted serum concentrations of vitamin B12 were associated with overall digestive system cancer risk in UK Biobank (ORSD 1.12; 95% CI, 1.04, 1.21, p = 0.003) and in the meta-analysis (ORSD 1.10; 95% CI, 1.03, 1.17, p = 0.007) after correction for multiple testing (Fig. 3). Genetically predicted high serum vitamin B12 was associated with an elevated risk of colorectal cancer in UK Biobank (ORSD 1.16; 95% CI, 1.06, 1.26, p = 0.001) and both the direction and magnitude of the association remained in FinnGen (ORSD 1.19; 95% CI, 0.99, 1.43, p = 0.071). The combined ORSD of colorectal cancer was 1.16 (95% CI, 1.08, 1.25, p < 0.001) (Fig. 3). The associations of vitamin B12 with overall digestive system cancer and colorectal cancer were directionally consistent in sensitivity analyses (Table 1). We did not detect any SNPs driving the associations of vitamin B12 with overall digestive system cancer or colorectal cancer (Supplementary Fig. 3). Genetically predicted serum vitamin B12 was not associated with overall cancer, or oesophageal, gastric or pancreatic cancer risk (Fig. 3).
Table 1.
Cancer | I2 (%) | P (I2) | Weighted median | MR-Egger | |||||
---|---|---|---|---|---|---|---|---|---|
OR | 95% CI | p | OR | 95% CI | p | pintercept | |||
Overall cancer (UKBB) | 15 | 0.323 | 1.02 | 0.98–1.05 | 0.394 | 0.98 | 0.94–1.03 | 0.403 | 0.184 |
Overall cancer (FinnGen) | 16 | 0.142 | 0.94 | 0.86–1.02 | 0.130 | 0.97 | 0.82–1.14 | 0.691 | 0.780 |
Digestive system cancer (UKBB) | 17 | 0.207 | 1.06 | 0.97–1.16 | 0.192 | 1.00 | 0.90–1.11 | 0.955 | 0.007 |
Digestive system cancer (FinnGen) | 9 | 0.630 | 1.00 | 0.83–1.21 | 0.987 | 1.04 | 0.77–1.41 | 0.805 | 0.859 |
Oesophageal (UKBB) | 8 | 0.769 | 1.18 | 0.92–1.52 | 0.189 | 1.17 | 0.86–1.61 | 0.320 | 0.848 |
Oesophageal (FinnGen) | 13 | 0.271 | 1.77 | 0.74–4.21 | 0.197 | 4.23 | 1.05–16.94 | 0.042 | 0.036 |
Gastric (UKBB) | 10 | 0.672 | 1.03 | 0.78–1.36 | 0.846 | 0.89 | 0.63–1.27 | 0.526 | 0.098 |
Gastric (FinnGen) | 11 | 0.458 | 0.91 | 0.52–1.58 | 0.727 | 0.86 | 0.36–2.10 | 0.748 | 0.691 |
Pancreatic (UKBB) | 15 | 0.302 | 1.14 | 0.92–1.43 | 0.237 | 1.03 | 0.77–1.39 | 0.845 | 0.955 |
Pancreatic (FinnGen) | 13 | 0.304 | 0.63 | 0.36–1.08 | 0.092 | 0.60 | 0.23–1.58 | 0.303 | 0.870 |
Colorectal (UKBB) | 14 | 0.385 | 1.10 | 0.98–1.22 | 0.103 | 1.05 | 0.92–1.20 | 0.462 | 0.078 |
Colorectal (FinnGen) | 3 | 0.984 | 1.22 | 0.96–1.54 | 0.100 | 1.20 | 0.80–1.80 | 0.381 | 0.961 |
CI confidence interval, OR odds ratio, UKBB UK Biobank.
The I2 (%) presents the heterogeneity among SNPs in each analysis and the pintercept is the p-value for the intercept in MR-Egger.
Discussion
The present MR study validated genetic instruments for folate and vitamin B12 using pernicious anaemia (for folate and vitamin B12) and mean corpuscular volume (for folate) as positive control outcomes and found that genetically predicted high concentrations of serum vitamin B12 were associated with an increased risk of overall digestive system cancer and colorectal cancer, but not overall cancer or oesophageal, gastric or pancreatic cancer. Genetically predicted serum folate and vitamin B6 concentrations were not significantly associated with overall cancer or digestive system cancers.
A pan-carcinogenic effect of high vitamin b12 was not found in our study, which is consistent with previous RCTs focusing on effects of administration of folic acid, vitamin B6 and vitamin B12 altogether.26–28 Nevertheless, a 21% higher risk of any cancer was previously observed with co-supplementation of folate and vitamin B12, when compared to placebo, after a median 39 months of treatment and an additional 38 months of post-trial observational follow-up in another RCT.29 Even though the influence of reverse causality is minimal in the RCT design, this positive finding might be related to an altered vitamin B12 metabolism caused by carcinogenesis prior to clinical cancer diagnosis.7,8
Data on vitamin B12 supplementation and gastrointestinal cancer are scarce and results on vitamin B12 in relation to colorectal cancer risk in observational studies are conflicting.9,30 One clinical trial reported an increased risk of colorectal cancer after combined folate and vitamin B12 supplementations,3 which may be considered support for our findings of positive associations of genetically predicted vitamin B12 with the digestive system and colorectal cancer. Furthermore, a previous MR study revealed a possible association between serum vitamin B12 and colorectal cancer albeit with concerns on potential pleiotropy.31 Our study confirmed this association in two independent populations (not included in previous MR study) and a series of statistical models minimising influence from pleiotropy. Given that colorectal cancer makes up a large proportion of digestive system cancer in UK Biobank it is possible that the observed association between serum vitamin B12 and digestive system cancer might be driven solely by its effect on colorectal cancer.
Rich sources of vitamin B12 include meat, which has previously been strongly associated with colorectal cancer risk and may therefore offer a mechanistic explanation for our findings.32 On a cellular level, vitamin B12 has a vital role in one-carbon metabolism that influences DNA synthesis, methylation as well as redox and reductive metabolism. Thus, vitamin B12 may influence pathways enhancing the proliferation of cancerous cells.33 It is relevant that the colorectal mucosa is the tissue with the highest turnover and is therefore particularly sensitive to nutrients such as B vitamins, which affect this process. A recent study demonstrated a higher serum B12 was associated with tumour-specific hypomethylation in CRC patients, suggestive of B12-driving epigenetic alterations leading to carcinogenesis.34 Also, of relevance, is that vitamin b12 can be produced by the gut microbiome and that competition of b12 may affect the gut microbiome, which offers a further putative mechanistic link with colorectal cancer.35 A possible carcinogenic effect of high serum vitamin B12 status has previously been observed in lung cancer36 and possibly epithelial ovarian cancer,37 but not in breast cancer.38 Furthermore, a recent MR study revealed a positive association between genetically predicted high serum vitamin B12 concentrations and risk of inflammatory bowel disease, especially Crohn’s disease.39 This may be of relevance as patients diagnosed with inflammatory bowel disease have an increased risk of developing colorectal cancer.40
Epidemiological data on folate (or folic acid) in relation to cancer are conflicting. Two meta-analyses based on RCTs found an increase in the frequency of overall cancer in the folic acid supplementation group compared to controls.41,42 A borderline increased overall cancer incidence was observed in a subsequent meta-analysis of RCTs including 50,000 individuals, although this finding was compatible with a chance finding as the risk did not increase with duration of treatment or a daily dose of folic acid.43 Another meta-analysis including 13 trials showed no association between folate intake and cancer risk,1 consistent with our finding. With regard to colorectal cancer specifically, an inverse association with total folate intake was observed in observational studies,2 although evidence from RCTs does not support an association between folate supplementation and colorectal cancer risk,2 which is in line with this MR study’s finding.
Dietary vitamin B6 intake showed inverse associations with any cancer, overall gastrointestinal cancer and oesophageal, gastric, colorectal44 and pancreatic cancers in meta-analyses of observational studies.6 However, several RCTs did not detect such associations.6,26–28 This discrepancy might be related to cancer-protective confounding effects from foods rich in vitamin B6, such as whole grains.45 Our study found null associations of vitamin B6 concentrations proxied by a single genetic variant with cancer risk and thus had offers limited support of any potential application of vitamin B6 in cancer prevention. We cannot rule out weak associations of vitamin B6 given small numbers of cases for some certain site-specific cancer and the use of only one variant, which explains a relatively low variance in vitamin b6 levels.
There are several strengths and limitations of the present study. The major strength is the MR design that reinforces the causal inference. In addition, we examined the associations in two independent populations and the consistency of results makes our findings robust. The combination of two independent data also increases our sample size, thereby enhancing the power to detect associations. However, the study may still overlook associations for certain site-specific cancers due to a small number of cases even after the combination of datasets, especially for folate and vitamin B6 with small variance explained by genetic instruments. Another strength of the present study is that most SNPs used as proxies for B vitamin concentrations are located in genes with known functions related to folate, vitamin B6 and vitamin B12 and their corresponding metabolic pathways.46 For folate and vitamin B12, we validated the genetic instruments using positive controls. The results of pleiotropic effect assessment and sensitivity analyses further confirm that our findings are less likely to be biased by pleiotropy. However, caution is required in interpreting the positive association between vitamin B12 and colorectal cancer in the absence of biological mechanistic evidence. Lastly, the population analyzed was confined to European individuals and thus population stratification bias was diminished.
This study also has important limitations. The population confinement to individuals of European descent limits the generalisability of our findings to other populations. Another limitation is that we cannot assess the gene-environment interaction using summary-level data. In this regard, some observational studies have found that the association of folate and vitamin B6 with cancer risk is modified by the intake of alcohol,47–50 which may interfere with the intestinal absorption and metabolism of these nutrients. An additional limitation is that our results for vitamin B6 were based on a single genetic variant identified in a GWAS of an Italian population and we were unable to validate that this variant is associated with vitamin B6 concentrations in the UK and Finnish populations. The analyses of folate and vitamin B6 were based on few SNPs, and therefore sensitivity analyses could not be performed. The associations of genetically predicted vitamin B12 with colorectal cancer and overall digestive system cancer in the sensitivity analyses were directionally consistent with the associations from the main analysis albeit nonsignificant, which might be caused by inadequate power.51 Further studies with larger power are needed to verify our findings.
In conclusion, the present study found that genetically predicted lifelong high serum vitamin B12 concentrations were associated with an increased risk of colorectal cancer. Further evidence is needed to assess the safety of wide use of vitamin B12 supplementation with respect to colorectal cancer development.
Supplementary information
Acknowledgements
Genetic instruments for folate and vitamins B6 and B12 were obtained from two published meta‐analyses of genome‐wide association studies. Genetic association estimates for cancer were obtained from the UK Biobank study and FinnGen consortium. The authors thank all investigators for sharing these data. Analyses of UK Biobank data were performed under application 29202.
Author contributions
Study conception and design: S.Y. and S.C.L.; data acquisition and analysis: S.Y., P.C., S.K., M.V., A.M.M., S.B. and S.C.L.; drafting the manuscript and figures: S.Y.; reviewing the manuscript: S.Y., P.C., S.K., M.V., A.M.M., S.B. and S.C.L.
Ethics approval and consent to participate
All studies included in cited genome‐wide association studies had approved by a relevant review board and participants had given informed consent. The present MR analyses were approved by the Swedish Ethical Review Authority (2019‐02793).
Data availability
All data analyzed in this study are available in the supplemental material.
Competing interests
All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare no support from any organisation for the submitted work. The authors declare no competing interests.
Funding information
S.K. is supported by the United Kingdom Research and Innovation Future Leaders Fellowship (MR/T043202/1). A.M.M. is supported by EC‐Innovative Medicines Initiative (BigData@Heart). S.B. is supported by Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (204623/Z/16/Z). S.C.L. is supported by research grants from the Swedish Research Council for Health, Working Life and Welfare (Forte; grant no. 2018‐00123), the Swedish Research Council (Vetenskapsrådet; grant no. 2019–00977) and the Swedish Heart-Lung Foundation (Hjärt-Lungfonden; grant no. 20190247). Funders had no roles in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; or the decision to submit the manuscript for publication.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41416-021-01383-0.
References
- 1.Qin X, Cui Y, Shen L, Sun N, Zhang Y, Li J, et al. Folic acid supplementation and cancer risk: a meta-analysis of randomized controlled trials. Int J. Cancer. 2013;133:1033–1041. doi: 10.1002/ijc.28038. [DOI] [PubMed] [Google Scholar]
- 2.Moazzen S, Dolatkhah R, Tabrizi JS, Shaarbafi J, Alizadeh BZ, de Bock GH, et al. Folic acid intake and folate status and colorectal cancer risk: a systematic review and meta-analysis. Clin. Nutr. 2018;37:1926–1934. doi: 10.1016/j.clnu.2017.10.010. [DOI] [PubMed] [Google Scholar]
- 3.Oliai Araghi S, Kiefte-de Jong JC, van Dijk SC, Swart KMA, van Laarhoven HW, van Schoor NM, et al. Folic acid and vitamin B12 Supplementation and the risk of cancer: long-term follow-up of the B Vitamins for the Prevention of Osteoporotic Fractures (B-PROOF) Trial. Cancer Epidemiol. Biomark. Prev. 2019;28:275–282. doi: 10.1158/1055-9965.EPI-17-1198. [DOI] [PubMed] [Google Scholar]
- 4.Larsson SC, Giovannucci E, Wolk A. Folate intake, MTHFR polymorphisms, and risk of esophageal, gastric, and pancreatic cancer: a meta-analysis. Gastroenterology. 2006;131:1271–1283. doi: 10.1053/j.gastro.2006.08.010. [DOI] [PubMed] [Google Scholar]
- 5.Tio M, Andrici J, Cox MR, Eslick GD. Folate intake and the risk of upper gastrointestinal cancers: a systematic review and meta-analysis. J. Gastroenterol. Hepatol. 2014;29:250–258. doi: 10.1111/jgh.12446. [DOI] [PubMed] [Google Scholar]
- 6.Mocellin S, Briarava M, Pilati P. Vitamin B6 and cancer risk: a field synopsis and meta-analysis. J. Natl Cancer Inst. 2017;109:1–9. doi: 10.1093/jnci/djw230. [DOI] [PubMed] [Google Scholar]
- 7.Arendt JF, Pedersen L, Nexo E, Sørensen HT. Elevated plasma vitamin B12 levels as a marker for cancer: a population-based cohort study. J. Natl Cancer Inst. 2013;105:1799–1805. doi: 10.1093/jnci/djt315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Arendt JFH, Sørensen HT, Horsfall LJ, Petersen I. Elevated vitamin B12 levels and cancer risk in UK primary care: A THIN Database Cohort Study. Cancer Epidemiol. Biomark. Prev. 2019;28:814–821. doi: 10.1158/1055-9965.EPI-17-1136. [DOI] [PubMed] [Google Scholar]
- 9.Eussen SJ, Vollset SE, Hustad S, Midttun Ø, Meyer K, Fredriksen A, et al. Plasma vitamins B2, B6, and B12, and related genetic variants as predictors of colorectal cancer risk. Cancer Epidemiol. Biomark. Prev. 2010;19:2549–2561. doi: 10.1158/1055-9965.EPI-10-0407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Xiao Q, Freedman ND, Ren J, Hollenbeck AR, Abnet CC, Park Y. Intakes of folate, methionine, vitamin B6, and vitamin B12 with risk of esophageal and gastric cancer in a large cohort study. Br. J. Cancer. 2014;110:1328–1333. doi: 10.1038/bjc.2014.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Miranti EH, Stolzenberg-Solomon R, Weinstein SJ, Selhub J, Männistö S, Taylor PR, et al. Low vitamin B(12) increases risk of gastric cancer: a prospective study of one-carbon metabolism nutrients and risk of upper gastrointestinal tract cancer. Int J. Cancer. 2017;141:1120–1129. doi: 10.1002/ijc.30809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Kantor ED, Rehm CD, Du M, White E, Giovannucci EL. Trends in dietary supplement use among us adults from 1999-2012. JAMA. 2016;316:1464–1474. doi: 10.1001/jama.2016.14403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2019;5:1749–1768. doi: 10.1001/jamaoncol.2019.2996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Burgess, S. & Thompson, S. G. Mendelian Randomization: Methods for Using Genetic Variants in Causal Estimation (2015).
- 15.Scott JM. Folate and vitamin B12. Proc. Nutr. Soc. 1999;58:441–448. doi: 10.1017/s0029665199000580. [DOI] [PubMed] [Google Scholar]
- 16.Grarup N, Sulem P, Sandholt CH, Thorleifsson G, Ahluwalia TS, Steinthorsdottir V, et al. Genetic architecture of vitamin B12 and folate levels uncovered applying deeply sequenced large datasets. PLoS Genet. 2013;9:e1003530. doi: 10.1371/journal.pgen.1003530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Tanaka T, Scheet P, Giusti B, Bandinelli S, Piras MG, Usala G, et al. Genome-wide association study of vitamin B6, vitamin B12, folate, and homocysteine blood concentrations. Am. J. Hum. Genet. 2009;84:477–482. doi: 10.1016/j.ajhg.2009.02.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12:e1001779. doi: 10.1371/journal.pmed.1001779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.The FinnGen Consortium. FinnGen Documentation of R4 Release. https://finngen.gitbook.io/documentation/. Assessed 1 January 2020 (2021).
- 20.Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology. 2017;28:30–42. doi: 10.1097/EDE.0000000000000559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat. Med. 2002;21:1539–1558. doi: 10.1002/sim.1186. [DOI] [PubMed] [Google Scholar]
- 22.Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J. Epidemiol. 2015;44:512–525. doi: 10.1093/ije/dyv080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kamat MA, Blackshaw JA, Young R, Surendran P, Burgess S, Danesh J, et al. PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics. 2019;35:4851–4853. doi: 10.1093/bioinformatics/btz469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Spiller W, Davies NM, Palmer TM. Software application profile: mrrobust—a tool for performing two-sample summary Mendelian randomization analyses. Int J. Epidemiol. 2018;48:684–690. [Google Scholar]
- 25.Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V, Baird D, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7:e34408. doi: 10.7554/eLife.34408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hankey GJ, Eikelboom JW, Yi Q, Lees KR, Chen C, Xavier D, et al. Treatment with B vitamins and incidence of cancer in patients with previous stroke or transient ischemic attack: results of a randomized placebo-controlled trial. Stroke. 2012;43:1572–1577. doi: 10.1161/STROKEAHA.111.641613. [DOI] [PubMed] [Google Scholar]
- 27.Zhang SM, Cook NR, Albert CM, Gaziano JM, Buring JE, Manson JE. Effect of combined folic acid, vitamin B6, and vitamin B12 on cancer risk in women: a randomized trial. JAMA. 2008;300:2012–2021. doi: 10.1001/jama.2008.555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Song Y, Manson JE, Lee IM, Cook NR, Paul L, Selhub J, et al. Effect of combined folic acid, vitamin B(6), and vitamin B(12) on colorectal adenoma. J. Natl Cancer Inst. 2012;104:1562–1575. doi: 10.1093/jnci/djs370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Ebbing M, Bønaa KH, Nygård O, Arnesen E, Ueland PM, Nordrehaug JE, et al. Cancer incidence and mortality after treatment with folic acid and vitamin B12. JAMA. 2009;302:2119–2126. doi: 10.1001/jama.2009.1622. [DOI] [PubMed] [Google Scholar]
- 30.Le Marchand L, White KK, Nomura AM, Wilkens LR, Selhub JS, Tiirikainen M, et al. Plasma levels of B vitamins and colorectal cancer risk: the multiethnic cohort study. Cancer Epidemiol. Biomark. Prev. 2009;18:2195–2201. doi: 10.1158/1055-9965.EPI-09-0141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Cornish AJ, Law PJ, Timofeeva M, Palin K, Farrington SM, Palles C, et al. Modifiable pathways for colorectal cancer: a mendelian randomisation analysis. Lancet Gastroenterol. Hepatol. 2020;5:55–62. doi: 10.1016/S2468-1253(19)30294-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Schwingshackl L, Schwedhelm C, Hoffmann G, Knüppel S, Laure Preterre A, Iqbal K, et al. Food groups and risk of colorectal cancer. Int J. Cancer. 2018;142:1748–1758. doi: 10.1002/ijc.31198. [DOI] [PubMed] [Google Scholar]
- 33.Newman AC, Maddocks ODK. One-carbon metabolism in cancer. Br. J. Cancer. 2017;116:1499–1504. doi: 10.1038/bjc.2017.118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Boughanem H, Hernandez-Alonso P, Tinahones A, Babio N, Salas-Salvadó J, Tinahones FJ, et al. Association between serum vitamin B12 and global DNA methylation in colorectal cancer patients. Nutrients. 2020;12:3567. doi: 10.3390/nu12113567. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Degnan PH, Taga ME, Goodman AL. Vitamin B12 as a modulator of gut microbial ecology. Cell Metab. 2014;20:769–778. doi: 10.1016/j.cmet.2014.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Fanidi A, Carreras-Torres R, Larose TL, Yuan JM, Stevens VL, Weinstein SJ, et al. Is high vitamin B12 status a cause of lung cancer? Int. J. Cancer. 2019;145:1499–1503. doi: 10.1002/ijc.32033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Guo Y, Lu Y, Jin H. Appraising the role of circulating concentrations of micro-nutrients in epithelial ovarian cancer risk: A Mendelian randomization analysis. Sci. Rep. 2020;10:7356. doi: 10.1038/s41598-020-63909-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Papadimitriou N, Dimou N, Gill D, Tzoulaki I, Murphy N, Riboli E, et al. Genetically predicted circulating concentrations of micronutrients and risk of breast cancer: a Mendelian randomization study. Int. J. Cancer. 2020;148:646–653. doi: 10.1002/ijc.33246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Carreras-Torres R, Ibáñez-Sanz G, Obón-Santacana M, Duell EJ, Moreno V. Identifying environmental risk factors for inflammatory bowel diseases: a Mendelian randomization study. Sci. Rep. 2020;10:19273. doi: 10.1038/s41598-020-76361-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Lutgens MW, van Oijen MG, van der Heijden GJ, Vleggaar FP, Siersema PD, Oldenburg B. Declining risk of colorectal cancer in inflammatory bowel disease: an updated meta-analysis of population-based cohort studies. Inflamm. Bowel Dis. 2013;19(4):789–799. doi: 10.1097/MIB.0b013e31828029c0. [DOI] [PubMed] [Google Scholar]
- 41.Wien TN, Pike E, Wisløff T, Staff A, Smeland S, Klemp M. Cancer risk with folic acid supplements: a systematic review and meta-analysis. BMJ Open. 2012;2:e000653. doi: 10.1136/bmjopen-2011-000653. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Baggott JE, Oster RA, Tamura T. Meta-analysis of cancer risk in folic acid supplementation trials. Cancer Epidemiol. 2012;36:78–81. doi: 10.1016/j.canep.2011.05.003. [DOI] [PubMed] [Google Scholar]
- 43.Vollset SE, Clarke R, Lewington S, Ebbing M, Halsey J, Lonn E, et al. Effects of folic acid supplementation on overall and site-specific cancer incidence during the randomised trials: meta-analyses of data on 50,000 individuals. Lancet. 2013;381:1029–1036. doi: 10.1016/S0140-6736(12)62001-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Larsson SC, Orsini N, Wolk A. Vitamin B6 and risk of colorectal cancer: a meta-analysis of prospective studies. JAMA. 2010;303:1077–1083. doi: 10.1001/jama.2010.263. [DOI] [PubMed] [Google Scholar]
- 45.Aune D, Keum N, Giovannucci E, Fadnes LT, Boffetta P, Greenwood DC, et al. Whole grain consumption and risk of cardiovascular disease, cancer, and all cause and cause specific mortality: systematic review and dose-response meta-analysis of prospective studies. BMJ. 2016;353:i2716. doi: 10.1136/bmj.i2716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Larsson SC, Traylor M, Markus HS. Homocysteine and small vessel stroke: A mendelian randomization analysis. Ann. Neurol. 2019;85:495–501. doi: 10.1002/ana.25440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Larsson SC, Giovannucci E, Wolk A. Vitamin B6 intake, alcohol consumption, and colorectal cancer: a longitudinal population-based cohort of women. Gastroenterology. 2005;128:1830–1837. doi: 10.1053/j.gastro.2005.03.005. [DOI] [PubMed] [Google Scholar]
- 48.Larsson SC, Giovannucci E, Wolk A. Folate and risk of breast cancer: a meta-analysis. J. Natl Cancer Inst. 2007;99:64–76. doi: 10.1093/jnci/djk006. [DOI] [PubMed] [Google Scholar]
- 49.Seol JE, Kim J, Lee BH, Hwang DY, Jeong J, Lee HJ, et al. Folate, alcohol, ADH1B and ALDH2 and colorectal cancer risk. Public Health Nutr. 2020;24:677–684. doi: 10.1017/S136898001900452X. [DOI] [PubMed] [Google Scholar]
- 50.Zeng J, Wang K, Ye F, Lei L, Zhou Y, Chen J, et al. Folate intake and the risk of breast cancer: an up-to-date meta-analysis of prospective studies. Eur. J. Clin. Nutr. 2019;73:1657–1660. doi: 10.1038/s41430-019-0394-0. [DOI] [PubMed] [Google Scholar]
- 51.Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40:304–314. doi: 10.1002/gepi.21965. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data analyzed in this study are available in the supplemental material.