Variation in innate immunity genes and risk of multiple myeloma

Mark P. Purdue, Qing Lan, Idan Menashe, Tongzhang Zheng, Yawei Zhang, Meredith Yeager, Howard D. Hosgood, Shelia H. Zahm, Stephen J. Chanock, Nathaniel Rothman, Dalsu Baris

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Multiple myeloma (MM) is a B-cell lymphoid malignancy suspected to be associated with immunologic factors. Given recent findings associating single-nucleotide polymorphisms (SNPs) in innate immunity genes with non-Hodgkin lymphoma, we conducted an investigation of innate immune gene variants using specimens from a population-based case-control study of MM conducted in Connecticut women. Tag SNPs (N=1461) summarizing common variation in 149 gene regions were genotyped in non-Hispanic Caucasian subjects (103 cases, 475 controls). Odds ratios (OR) and 95% confidence intervals (CI) relating SNP associations with MM were computed using unconditional logistic regression, while the MinP test was used to investigate associations with MM at the gene level. We calculated permutation-adjusted P-values and false discovery rates (FDR) to account for the number of comparisons performed in SNP-level and gene-level tests, respectively. Three genes were associated with MM when controlling for a FDR of ≤10%: SERPINE1 (PMinP<0.0001; FDR=0.02), CCR7 (PMinP=0.0006; FDR=0.06) and HGF (PMinP=0.001; FDR=0.08). Two SNPs demonstrated robust associations: SERPINE1 rs2227667 (P=2.1×10-5, Ppermutation=0.03) and HGF rs17501108 (P=5.0×10-5, Ppermutation=0.07). Our findings suggest that genetic variants in SERPINE1 and HGF, and possibly CCR7, are associated with MM risk, and warrant further investigation in other studies.

Original languageEnglish (US)
Pages (from-to)42-46
Number of pages5
JournalHematological Oncology
Volume29
Issue number1
DOIs
StatePublished - Mar 2011
Externally publishedYes

Fingerprint

Multiple Myeloma
Innate Immunity
Single Nucleotide Polymorphism
Genes
Immunologic Factors
Non-Hodgkin's Lymphoma
Case-Control Studies
B-Lymphocytes
Logistic Models
Odds Ratio
Confidence Intervals
Population
Neoplasms

Keywords

  • Epidemiology
  • Genetics
  • Myeloma

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

Cite this

Purdue, M. P., Lan, Q., Menashe, I., Zheng, T., Zhang, Y., Yeager, M., ... Baris, D. (2011). Variation in innate immunity genes and risk of multiple myeloma. Hematological Oncology, 29(1), 42-46. https://doi.org/10.1002/hon.954

Variation in innate immunity genes and risk of multiple myeloma. / Purdue, Mark P.; Lan, Qing; Menashe, Idan; Zheng, Tongzhang; Zhang, Yawei; Yeager, Meredith; Hosgood, Howard D.; Zahm, Shelia H.; Chanock, Stephen J.; Rothman, Nathaniel; Baris, Dalsu.

In: Hematological Oncology, Vol. 29, No. 1, 03.2011, p. 42-46.

Research output: Contribution to journalArticle

Purdue, MP, Lan, Q, Menashe, I, Zheng, T, Zhang, Y, Yeager, M, Hosgood, HD, Zahm, SH, Chanock, SJ, Rothman, N & Baris, D 2011, 'Variation in innate immunity genes and risk of multiple myeloma', Hematological Oncology, vol. 29, no. 1, pp. 42-46. https://doi.org/10.1002/hon.954
Purdue MP, Lan Q, Menashe I, Zheng T, Zhang Y, Yeager M et al. Variation in innate immunity genes and risk of multiple myeloma. Hematological Oncology. 2011 Mar;29(1):42-46. https://doi.org/10.1002/hon.954
Purdue, Mark P. ; Lan, Qing ; Menashe, Idan ; Zheng, Tongzhang ; Zhang, Yawei ; Yeager, Meredith ; Hosgood, Howard D. ; Zahm, Shelia H. ; Chanock, Stephen J. ; Rothman, Nathaniel ; Baris, Dalsu. / Variation in innate immunity genes and risk of multiple myeloma. In: Hematological Oncology. 2011 ; Vol. 29, No. 1. pp. 42-46.
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