Literature DB >> 31502714

Genome-wide association study of circulating folate one-carbon metabolites.

Jun Wang1, Isaac Asante2, John A Baron3, Jane C Figueiredo4, Robert Haile4,5, A Joan Levine4, Polly A Newcomb6, Allyson S Templeton6, Fredrick R Schumacher7, Stan G Louie2, Graham Casey8, David V Conti1.   

Abstract

Experimental, observational, and clinical trials support a critical role of folate one-carbon metabolism (FOCM) in colorectal cancer (CRC) development. In this report, we focus on understanding the relationship between common genetic variants and metabolites of FOCM. We conducted a genome-wide association study of FOCM biomarkers among 1,788 unaffected (without CRC) individuals of European ancestry from the Colon Cancer Family Registry. Twelve metabolites, including 5-methyltetrahydrofolate, vitamin B2 (flavin mononucleotide and riboflavin), vitamin B6 (4-pyridoxic acid, pyridoxal, and pyridoxamine), total homocysteine, methionine, S-adenosylmethionine, S-adenosylhomocysteine, cystathionine, and creatinine were measured from plasma using liquid chromatography-mass spectrometry (LC-MS) or LC-MS/MS. For each individual biomarker, we estimated genotype array-specific associations followed by a fixed-effect meta-analysis. We identified the variant rs35976024 (at 2p11.2 and intronic of ATOH8) associated with total homocysteine (p = 4.9 × 10-8 ). We found a group of six highly correlated variants on chromosome 15q14 associated with cystathionine (all p < 5 × 10-8 ), with the most significant variant rs28391580 (p = 2.8 × 10-8 ). Two variants (rs139435405 and rs149119426) on chromosome 14q13 showed significant (p < 5 × 10-8 ) associations with S-adenosylhomocysteine. These three biomarkers with significant associations are closely involved in homocysteine metabolism. Furthermore, when assessing the principal components (PCs) derived from seven individual biomarkers, we identified the variant rs12665366 (at 6p25.3 and intronic of EXOC2) associated with the first PC (p = 2.3 × 10-8 ). Our data suggest that common genetic variants may play an important role in FOCM, particularly in homocysteine metabolism.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  colorectal cancer; epidemiology; folate; genome-wide association analysis; one-carbon metabolism

Mesh:

Substances:

Year:  2019        PMID: 31502714      PMCID: PMC6829035          DOI: 10.1002/gepi.22249

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  71 in total

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Review 2.  Folate-genetics and colorectal neoplasia: what we know and need to know next.

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3.  High expression of atonal homolog 8 predicts a poor clinical outcome in patients with colorectal cancer and contributes to tumor progression.

Authors:  Mengsi Ye; Yun He; Hao Lin; Shouxing Yang; Yuhui Zhou; Lingling Zhou; Jinwei Zhong; Guangrong Lu; Jihang Zheng; Zhan-Xiong Xue; Zhen-Zhai Cai
Journal:  Oncol Rep       Date:  2017-04-05       Impact factor: 3.906

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Journal:  Cell Metab       Date:  2015-09-24       Impact factor: 27.287

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Authors:  Min Li; Baohong Wang; Menghui Zhang; Mattias Rantalainen; Shengyue Wang; Haokui Zhou; Yan Zhang; Jian Shen; Xiaoyan Pang; Meiling Zhang; Hua Wei; Yu Chen; Haifeng Lu; Jian Zuo; Mingming Su; Yunping Qiu; Wei Jia; Chaoni Xiao; Leon M Smith; Shengli Yang; Elaine Holmes; Huiru Tang; Guoping Zhao; Jeremy K Nicholson; Lanjuan Li; Liping Zhao
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7.  High-density genetic mapping identifies new susceptibility loci for rheumatoid arthritis.

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Journal:  Nat Genet       Date:  2012-11-11       Impact factor: 38.330

8.  Pathway analysis of genetic variants in folate-mediated one-carbon metabolism-related genes and survival in a prospectively followed cohort of colorectal cancer patients.

Authors:  Jennifer Ose; Akke Botma; Yesilda Balavarca; Katharina Buck; Dominique Scherer; Nina Habermann; Jolantha Beyerle; Katrin Pfütze; Petra Seibold; Elisabeth J Kap; Axel Benner; Lina Jansen; Katja Butterbach; Michael Hoffmeister; Hermann Brenner; Alexis Ulrich; Martin Schneider; Jenny Chang-Claude; Barbara Burwinkel; Cornelia M Ulrich
Journal:  Cancer Med       Date:  2018-05-29       Impact factor: 4.452

Review 9.  The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers.

Authors:  Christopher I Amos; Joe Dennis; Zhaoming Wang; Jinyoung Byun; Fredrick R Schumacher; Simon A Gayther; Graham Casey; David J Hunter; Thomas A Sellers; Stephen B Gruber; Alison M Dunning; Kyriaki Michailidou; Laura Fachal; Kimberly Doheny; Amanda B Spurdle; Yafang Li; Xiangjun Xiao; Jane Romm; Elizabeth Pugh; Gerhard A Coetzee; Dennis J Hazelett; Stig E Bojesen; Charlisse Caga-Anan; Christopher A Haiman; Ahsan Kamal; Craig Luccarini; Daniel Tessier; Daniel Vincent; François Bacot; David J Van Den Berg; Stefanie Nelson; Stephen Demetriades; David E Goldgar; Fergus J Couch; Judith L Forman; Graham G Giles; David V Conti; Heike Bickeböller; Angela Risch; Melanie Waldenberger; Irene Brüske-Hohlfeld; Belynda D Hicks; Hua Ling; Lesley McGuffog; Andrew Lee; Karoline Kuchenbaecker; Penny Soucy; Judith Manz; Julie M Cunningham; Katja Butterbach; Zsofia Kote-Jarai; Peter Kraft; Liesel FitzGerald; Sara Lindström; Marcia Adams; James D McKay; Catherine M Phelan; Sara Benlloch; Linda E Kelemen; Paul Brennan; Marjorie Riggan; Tracy A O'Mara; Hongbing Shen; Yongyong Shi; Deborah J Thompson; Marc T Goodman; Sune F Nielsen; Andrew Berchuck; Sylvie Laboissiere; Stephanie L Schmit; Tameka Shelford; Christopher K Edlund; Jack A Taylor; John K Field; Sue K Park; Kenneth Offit; Mads Thomassen; Rita Schmutzler; Laura Ottini; Rayjean J Hung; Jonathan Marchini; Ali Amin Al Olama; Ulrike Peters; Rosalind A Eeles; Michael F Seldin; Elizabeth Gillanders; Daniela Seminara; Antonis C Antoniou; Paul D P Pharoah; Georgia Chenevix-Trench; Stephen J Chanock; Jacques Simard; Douglas F Easton
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-10-03       Impact factor: 4.254

10.  Plasma methionine, choline, betaine, and dimethylglycine in relation to colorectal cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  M Nitter; B Norgård; S de Vogel; S J P M Eussen; K Meyer; A Ulvik; P M Ueland; O Nygård; S E Vollset; T Bjørge; A Tjønneland; L Hansen; M Boutron-Ruault; A Racine; V Cottet; R Kaaks; T Kühn; A Trichopoulou; C Bamia; A Naska; S Grioni; D Palli; S Panico; R Tumino; P Vineis; H B Bueno-de-Mesquita; H van Kranen; P H Peeters; E Weiderpass; M Dorronsoro; P Jakszyn; M Sánchez; M Argüelles; J M Huerta; A Barricarte; M Johansson; I Ljuslinder; K Khaw; N Wareham; H Freisling; T Duarte-Salles; M Stepien; M J Gunter; E Riboli
Journal:  Ann Oncol       Date:  2014-05-14       Impact factor: 32.976

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  1 in total

1.  Associations between Genetic Variants and Blood Biomarkers of One-Carbon Metabolism in Postmenopausal Women from the Women's Health Initiative Observational Study.

Authors:  Ting-Yuan David Cheng; Mmadili N Ilozumba; Yesilda Balavarca; Marian L Neuhouser; Joshua W Miller; Shirley A A Beresford; Yingye Zheng; Xiaoling Song; David J Duggan; Adetunji T Toriola; Lynn B Bailey; Ralph Green; Marie A Caudill; Cornelia M Ulrich
Journal:  J Nutr       Date:  2022-04-01       Impact factor: 4.798

  1 in total

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