ArticleThe Journal of nutrition2012
Folate network genetic variation predicts cardiovascular disease risk in non-Hispanic white males.
Article in The Journal of nutrition, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- From cooperation to collapse: the diet-microbiota-host gene triad in disease and aging.Frontiers in microbiomes · 2026Review
- High-throughput and simultaneous quantitative analysis of homocysteine-methionine cycle metabolites and co-factors in blood plasma and cerebrospinal fluid by isotope dilution LC-MS/MS.Analytical and bioanalytical chemistry · 2017Article
- γ-Glutamyl hydrolase modulation significantly influences global and gene-specific DNA methylation and gene expression in human colon and breast cancer cells.Genes & nutrition · 2015Article
- Physiological and pathological roles of mitochondrial SLC25 carriers.The Biochemical journal · 2013Review
- Folate metabolite profiling of different cell types and embryos suggests variation in folate one-carbon metabolism, including developmental changes in human embryonic brain.Molecular and cellular biochemistry · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Genes functioning in folate-mediated 1-carbon metabolism are hypothesized to play a role in cardiovascular disease (CVD) risk beyond the current narrow focus on the MTHFR 677 C→T (rs1801133) polymorphism. Using a cohort study design, we investigated whether sequence variants in the network of folate-related genes, particularly in genes encoding proteins related to SHMT1, predict CVD risk in 1131 men from the Normative Aging Study. A total of 330 single nucleotide polymorphisms (SNPs) in 52 genes, selected for function and gene coverage, were assayed on the Illumina GoldenGate platform. Age- and smoking-adjusted genotype-phenotype associations were estimated in regression models. Using a nominal P ≤ 5.00 × 10(-3) significance threshold, 8 SNPs were associated with CVD risk in single locus analyses. Using a false discovery rate (FDR) threshold (P-adjusted ≤1.00 × 10(-1)), a SNP in the GGH gene remained associated with reduced CVD risk, with a stronger association in early onset CVD cases (<55 y). A gene × folate interaction (MAT2B) and 2 gene × vitamin B-12 interactions (BHMT, SLC25A32) reached the FDR P-adjusted ≤2.00 × 10(-1) threshold. Three biological hypotheses related to SHMT1 were explored and significant gene × gene interactions were identified for TYMS by UBE2N, FTH1 by CELF1, and TYMS by MTHFR. Variations in genes other than MTHFR and those directly involved in homocysteine metabolism are associated with CVD risk in non-Hispanic white males. This work supports a role for SHMT1-related genes and nuclear folate metabolism, including the thymidylate biosynthesis pathway, in mediating CVD risk.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.