title: Role of one-carbon metabolizing pathway genes and gene-nutrient interaction in the risk of non-Hodgkin lymphoma.
abstract: OBJECTIVE
  Genetic 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).
  
  
  METHODS
  We 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.
  
  
  RESULTS
  A 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.
  
  
  CONCLUSIONS
  Our 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.
authors.affiliation: Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, 06510, USA.
authors.forename: Qian
authors.initials: Q
authors.lastname: Li
authors.forename: Qing
authors.initials: Q
authors.lastname: Lan
authors.forename: Yawei
authors.initials: Y
authors.lastname: Zhang
authors.forename: Bryan A
authors.initials: BA
authors.lastname: Bassig
authors.forename: Theodore R
authors.initials: TR
authors.lastname: Holford
authors.forename: Brian
authors.initials: B
authors.lastname: Leaderer
authors.forename: Peter
authors.initials: P
authors.lastname: Boyle
authors.forename: Yong
authors.initials: Y
authors.lastname: Zhu
authors.forename: Qin
authors.initials: Q
authors.lastname: Qin
authors.forename: Stephen
authors.initials: S
authors.lastname: Chanock
authors.forename: Nathaniel
authors.initials: N
authors.lastname: Rothman
authors.forename: Tongzhang
authors.initials: T
authors.lastname: Zheng
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002244:Carbon / Q000378:metabolism*; D016022:Case-Control Studies; D003237:Connecticut / Q000453:epidemiology; D005260:Female; D005838:Genotype; D006801:Humans; D008228:Lymphoma, Non-Hodgkin / Q000453:epidemiology / Q000235:genetics* / Q000378:metabolism*; D008297:Male; D008875:Middle Aged; D011110:Polymorphism, Genetic; D012307:Risk Factors; D055815:Young Adult
chemical_list: D002244:Carbon
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