Literature DB >> 21724854

A novel approach to exploring potential interactions among single-nucleotide polymorphisms of inflammation genes in gliomagenesis: an exploratory case-only study.

E Susan Amirian1, Michael E Scheurer1,2, Yanhong Liu3, Anthony M D'Amelio3, Richard S Houlston4, Carol J Etzel3, Sanjay Shete3, Anthony J Swerdlow5, Minouk J Schoemaker5, Patricia A McKinney6, Sarah J Fleming6, Kenneth R Muir7, Artitaya Lophatananon7, Melissa L Bondy3.   

Abstract

BACKGROUND: Despite extensive research on the topic, glioma etiology remains largely unknown. Exploration of potential interactions between single-nucleotide polymorphisms (SNP) of immune genes is a promising new area of glioma research. The case-only study design is a powerful and efficient design for exploring possible multiplicative interactions between factors that are independent of one another. The purpose of our study was to use this exploratory design to identify potential pair wise SNP-SNP interactions from genes involved in several different immune-related pathways for investigation in future studies.
METHODS: The study population consisted of two case groups: 1,224 histologic confirmed, non-Hispanic white glioma cases from the United States and a validation population of 634 glioma cases from the United Kingdom. Polytomous logistic regression, in which one SNP was coded as the outcome and the other SNP was included as the exposure, was utilized to calculate the ORs of the likelihood of cases simultaneously having the variant alleles of two different SNPs. Potential interactions were examined only between SNPs located in different genes or chromosomes.
RESULTS: Using this data mining strategy, we found 396 significant SNP-SNP interactions among polymorphisms of immune-related genes that were present in both the U.S. and U.K. study populations.
CONCLUSION: This exploratory study was conducted for the purpose of hypothesis generation, and thus has provided several new hypotheses that can be tested using traditional case-control study designs to obtain estimates of risk. IMPACT: This is the first study, to our knowledge, to take this novel approach to identifying SNP-SNP interactions relevant to glioma etiology. ©2011 AACR.

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Year:  2011        PMID: 21724854      PMCID: PMC3904785          DOI: 10.1158/1055-9965.EPI-11-0203

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  30 in total

Review 1.  The Jak-STAT pathway: cytokine signalling from the receptor to the nucleus.

Authors:  M H Heim
Journal:  J Recept Signal Transduct Res       Date:  1999 Jan-Jul       Impact factor: 2.092

2.  Case-only design to measure gene-gene interaction.

Authors:  Q Yang; M J Khoury; F Sun; W D Flanders
Journal:  Epidemiology       Date:  1999-03       Impact factor: 4.822

3.  Sample size requirements for association studies of gene-gene interaction.

Authors:  W James Gauderman
Journal:  Am J Epidemiol       Date:  2002-03-01       Impact factor: 4.897

4.  Case-only study of interactions between genetic polymorphisms of GSTM1, P1, T1 and Z1 and smoking in Parkinson's disease.

Authors:  Yifu Deng; Beth Newman; Michael P Dunne; Peter A Silburn; George D Mellick
Journal:  Neurosci Lett       Date:  2004-08-19       Impact factor: 3.046

5.  Haploview: analysis and visualization of LD and haplotype maps.

Authors:  J C Barrett; B Fry; J Maller; M J Daly
Journal:  Bioinformatics       Date:  2004-08-05       Impact factor: 6.937

Review 6.  Nontraditional epidemiologic approaches in the analysis of gene-environment interaction: case-control studies with no controls!

Authors:  M J Khoury; W D Flanders
Journal:  Am J Epidemiol       Date:  1996-08-01       Impact factor: 4.897

Review 7.  Epidemiology and etiology of gliomas.

Authors:  Hiroko Ohgaki; Paul Kleihues
Journal:  Acta Neuropathol       Date:  2005-02-01       Impact factor: 17.088

8.  Genetic variants in inflammation pathway genes and asthma in glioma susceptibility.

Authors:  E Amirian; Yanhong Liu; Michael E Scheurer; Randa El-Zein; Mark R Gilbert; Melissa L Bondy
Journal:  Neuro Oncol       Date:  2010-02-05       Impact factor: 12.300

9.  Polymorphisms associated with asthma are inversely related to glioblastoma multiforme.

Authors:  Judith Schwartzbaum; Anders Ahlbom; Beatrice Malmer; Stefan Lönn; Anthony J Brookes; Hani Doss; Waldemar Debinski; Roger Henriksson; Maria Feychting
Journal:  Cancer Res       Date:  2005-07-15       Impact factor: 12.701

10.  Reduced immunoglobulin E and allergy among adults with glioma compared with controls.

Authors:  Joseph L Wiemels; John K Wiencke; Joseph Patoka; Michelle Moghadassi; Terri Chew; Alex McMillan; Rei Miike; Geoffrey Barger; Margaret Wrensch
Journal:  Cancer Res       Date:  2004-11-15       Impact factor: 12.701

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  3 in total

1.  Cross Cancer Genomic Investigation of Inflammation Pathway for Five Common Cancers: Lung, Ovary, Prostate, Breast, and Colorectal Cancer.

Authors:  Rayjean J Hung; Cornelia M Ulrich; Ellen L Goode; Yonathan Brhane; Kenneth Muir; Andrew T Chan; Loic Le Marchand; Joellen Schildkraut; John S Witte; Rosalind Eeles; Paolo Boffetta; Margaret R Spitz; Julia G Poirier; David N Rider; Brooke L Fridley; Zhihua Chen; Christopher Haiman; Fredrick Schumacher; Douglas F Easton; Maria Teresa Landi; Paul Brennan; Richard Houlston; David C Christiani; John K Field; Heike Bickeböller; Angela Risch; Zsofia Kote-Jarai; Fredrik Wiklund; Henrik Grönberg; Stephen Chanock; Sonja I Berndt; Peter Kraft; Sara Lindström; Ali Amin Al Olama; Honglin Song; Catherine Phelan; Nicholas Wentzensen; Ulrike Peters; Martha L Slattery; Thomas A Sellers; Graham Casey; Stephen B Gruber; David J Hunter; Christopher I Amos; Brian Henderson
Journal:  J Natl Cancer Inst       Date:  2015-08-29       Impact factor: 13.506

2.  Understanding Physiology in the Continuum: Integration of Information from Multiple -Omics Levels.

Authors:  Kubra Kamisoglu; Alison Acevedo; Richard R Almon; Susette Coyle; Siobhan Corbett; Debra C Dubois; Tung T Nguyen; William J Jusko; Ioannis P Androulakis
Journal:  Front Pharmacol       Date:  2017-02-27       Impact factor: 5.810

3.  Immunoglobulin genes implicated in glioma risk.

Authors:  Janardan P Pandey; Navtej Kaur; Sandra Costa; Julia Amorim; Rui Nabico; Paulo Linhares; Rui Vaz; Marta Viana-Pereira; Rui M Reis
Journal:  Oncoimmunology       Date:  2014-05-23       Impact factor: 8.110

  3 in total

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