Evidence map›Paper›PMID 23913011›Full record

ArticleCancer causes & control : CCC2013

Role of one-carbon metabolizing pathway genes and gene-nutrient interaction in the risk of non-Hodgkin lymphoma.

Qian Li, Qing Lan, Yawei Zhang, Bryan A Bassig, Theodore R Holford, Brian Leaderer, Peter Boyle, Yong Zhu, Qin Qin, Stephen Chanock and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cancer causes & control : CCC, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. NO: a key player in microbiome dynamics and cancer pathogenesis.Frontiers in cellular and infection microbiology · 2025
    Review
  5. Article
  6. Association ofJournal of Cancer · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Review
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  12. Genetic polymorphisms in the one-carbon metabolism pathway genes and susceptibility to non-Hodgkin lymphoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
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  14. Article
  15. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Qian LiDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06510, USA.
Qing Lan
Yawei Zhang
Bryan A Bassig
Theodore R Holford
Brian Leaderer
Peter Boyle
Yong Zhu
Qin Qin
Stephen Chanock
Nathaniel Rothman
Tongzhang Zheng
Yale University · USNational Cancer Institute · USIcahn School of Medicine at Mount Sinai · USInternational Prevention Research Institute · FRUnited States Department of Health and Human Services · USUniversity of Southern Maine · US

Funding

Research Training for Cancer Epidemiology & Biostatistics in ChinaD43TW008323 · FIC · YALE UNIVERSITY · PI HOLFORD, THEODORE R, ZHENG, TONGZHANG · 2009 to 2013
$1.1M
Research Training for Study of Air Pollution Control in ChinaD43TW007864 · FIC · YALE UNIVERSITY · PI ZHENG, TONGZHANG · 2007 to 2011
$706k
HAIR DYE USE AND RISK OF NONHODGKINS LYMPHOMAR01CA062006 · NCI · YALE UNIVERSITY · PI ZHENG, TONGZHANG · 1995 to 2000
$125k
FIC NIH HHS D43 TW007864FIC NIH HHS D43TW007864-01FIC NIH HHS D43 TW008323FIC NIH HHS D43TW008323-01Intramural NIH HHSNCI NIH HHS R01 CA062006
6 · The paper itself

Abstract

purposeGenetic polymorphisms in one-carbon metabolizing pathway genes have been associated with risk of malignant lymphoma. However, the results have been inconsistent. The objectives of this study were to examine the potential relationship between gene-nutrient interactions and the risk of non-Hodgkin lymphoma (NHL).

methodsWe examined 25 polymorphisms in 16 one-carbon metabolism genes for their main effect and gene-nutrient interactions in relation to NHL risk among 518 incident cases and 597 population-based controls of Connecticut women enrolled between 1996 and 2000.

resultsA significantly reduced risk of NHL was associated with the homozygous TT genotype in CBS (rs234706, Ex9+33C>T) (OR = 0.51, 95 % CI 0.31-0.84), the homozygous CC genotype in MBD2 (rs603097, -2176C>T) (OR = 0.37, 95 % CI 0.17-0.79), the heterozygote AG genotype in FTHFD (rs1127717, Ex21+31A>G) (OR = 0.73, 95 % CI 0.55-0.98), and a borderline significantly reduced risk of NHL was observed for the homozygous CC genotype in MTRR (rs161870, Ex5+136T>C) (OR = 0.23, 95 % CI 0.05-1.04). The reduced risk of NHL associated with these genotypes was predominately in those with higher dietary vitamin B6 and methionine intakes, as well as with higher dietary folate intake although results were less stable. A borderline significantly increased risk of NHL was also observed for CBS (rs1801181, Ex13+41C>T), FTHFD (rs2305230, Ex10-40G>T), SHMT1 (rs1979277, Ex12+138C>T), and SHMT1 (rs1979276, Ex12+236T>C), and these associations appeared to be contingent on dietary nutrient intakes.

conclusionOur results suggest that variation in several one-carbon metabolizing pathway genes may influence the risk of NHL through gene-nutrient interactions involving dietary nutrient intakes.

Indexed as

AdultAgedAged, 80 and overCarbonCase-Control StudiesConnecticutFemaleGenotypeHumansLymphoma, Non-HodgkinMaleMiddle AgedPolymorphism, GeneticRisk FactorsYoung AdultCarbon

Identifiers

PMID23913011
PMCPMC3951097
OpenAlexW2051628172

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.