ArticleScientific reports2022
Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Serum homocysteine-based traffic light triage colonoscopy screening in colorectal cancer at-risk patients: A prospective cohort study.World journal of gastroenterology · 2025Article
- Challenges of folate species analysis in food and biological matrices by liquid chromatography-tandem mass spectrometery.Bioanalysis · 2025Review
- Biological, dietetic and pharmacological properties of vitamin BNPJ science of food · 2025Review
- Glycosphingolipids-Dependent Phospholipid Metabolism Enhances Cancer Initiation and Progression through SMPD1/GLTP/B3GALT4/ST8SIA6 Signaling Axis: A Novel Therapeutic Target.International journal of medical sciences · 2025Article
- Folate intake and colorectal cancer risk according to genetic subtypes defined by targeted tumor sequencing.The American journal of clinical nutrition · 2024Article
- Role of dietary nutrients and metabolism in colorectal cancer.Asia Pacific journal of clinical nutrition · 2024Review
- Managing Colorectal Cancer from Ethology to Interdisciplinary Treatment: The Gains and Challenges of Modern Medicine.International journal of molecular sciences · 2024Review
- Article
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Authors and funding
41 authors at 20 institutions in 8 countries.
Funding
Abstract
Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
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