Volume 152, Issue 6 pp. 721-726
research paper

A pooled analysis of three studies evaluating genetic variation in innate immunity genes and non-Hodgkin lymphoma risk

H. Dean Hosgood III

H. Dean Hosgood III

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Mark P. Purdue

Mark P. Purdue

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Sophia S. Wang

Sophia S. Wang

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

Division of Etiology, Department of Population Sciences, City of Hope, Duarte, CA

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Tongzhang Zheng

Tongzhang Zheng

Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT

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Lindsay M. Morton

Lindsay M. Morton

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Qing Lan

Qing Lan

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Idan Menashe

Idan Menashe

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Yawei Zhang

Yawei Zhang

Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT

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James R. Cerhan

James R. Cerhan

Mayo Clinic, College of Medicine, Rochester, MN, USA

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Andrew Grulich

Andrew Grulich

National Centre in HIV Epidemiology and Clinical Research, University of New South Wales, Sydney, NSW, Australia

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Wendy Cozen

Wendy Cozen

Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA

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Meredith Yeager

Meredith Yeager

Core Genotyping Facility, Advanced Technology Center, National Cancer Institute, NIH, DHHS, Gaithersburg, MD, USA

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Theodore R. Holford

Theodore R. Holford

Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT

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Claire M. Vajdic

Claire M. Vajdic

Prince of Wales Clinical School and Lowy Cancer Research Centre, University of New South Wales, Sydney, NSW, Australia

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Scott Davis

Scott Davis

Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA, USA

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Brian Leaderer

Brian Leaderer

Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, CT

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Anne Kricker

Anne Kricker

School of Public Health, The University of Sydney, Sydney, NSW, Australia

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Maryjean Schenk

Maryjean Schenk

Department of Family Medicine and Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA

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Shelia H. Zahm

Shelia H. Zahm

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Nilanjan Chatterjee

Nilanjan Chatterjee

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Stephen J. Chanock

Stephen J. Chanock

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Nathaniel Rothman

Nathaniel Rothman

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Patricia Hartge

Patricia Hartge

Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD

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Bruce Armstrong

Bruce Armstrong

School of Public Health, The University of Sydney, Sydney, NSW, Australia

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First published: 20 January 2011
Citations: 27
H. Dean Hosgood, Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, 6120 Executive Blvd., EPS 8120, MCS 7240, Bethesda, MD 20892-7240, USA. E-mail: [email protected]

Summary

Genetic variation in immune-related genes may play a role in the development of non-Hodgkin lymphoma (NHL). To test the hypothesis that innate immunity polymorphisms may be associated with NHL risk, we genotyped 144 tag single nucleotide polymorphisms (tagSNPs) capturing common genetic variation within 12 innate immunity gene regions in three independent population-based case-control studies (1946 cases and 1808 controls). Gene-based analyses found IL1RN to be associated with NHL risk (minP = 0·03); specifically, IL1RN rs2637988 was associated with an increased risk of NHL (per-allele odds ratio = 1·15, 95% confidence interval = 1·05–1·27; Ptrend = 0·003), which was consistent across study, subtype, and gender. FCGR2A was also associated with a decreased risk of the follicular lymphoma NHL subtype (minP = 0·03). Our findings suggest that genetic variation in IL1RN and FCGR2A may play a role in lymphomagenesis. Given that conflicting results have been reported regarding the association between IL1RN SNPs and NHL risk, a larger number of innate immunity genes with sufficient genomic coverage should be evaluated systematically across many studies.

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