4.6 Article

Large-Scale Pathway-Based Analysis of Bladder Cancer Genome-Wide Association Data from Five Studies of European Background

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PLOS ONE
卷 7, 期 1, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0029396

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资金

  1. National Cancer Institute, National Institutes of Health [HHSN261200800001E]
  2. National Institutes of Health, National Cancer Institute, Division of Cancer Epidemiology and Genetics [NCI N02-CP-11015, NCI N02-CP-01037]
  3. FIS/Spain [98/1274, 00/0745, PI061614, G03/174]
  4. Fundacio Marato TV3
  5. Red Tematica Investigacion Cooperativa en Cancer (RTICC)
  6. Consolider ONCOBIO
  7. The National Institutes of Health (NIH) Genes, Environment and Health Initiative (GEI) [HG-06-033-NCI-01, RO1HL091172-01]
  8. Johns Hopkins University Center for Inherited Disease Research [U01HG004438, NIH HHSN268200782096C]
  9. NIH Genes, Environment and Health Initiative [GEI] [HG-06-033-NCI-01, RO1HL091172-01]
  10. GENEVA Coordination Center [U01 HG004446]
  11. National Institutes of Health, NCI, Division of Cancer Epidemiology and Genetics
  12. Division of Cancer Epidemiology and Genetics
  13. Division of Cancer Prevention, National Cancer Institute, National Institutes of Health
  14. NIH
  15. National Cancer Institute
  16. U.S. Public Health Service from the National Cancer Institute, Department of Health and Human Services [N01-CN-45165, N01-RC-45035, N01-RC-37004]
  17. [EU-FP7-201663]
  18. [RO1- CA089715]
  19. [CA34627]

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Pathway analysis of genome-wide association studies (GWAS) offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of European background (n = 5 studies). Thirteen hundred and ninety-nine pathways were drawn from five publicly available resources (Biocarta, Kegg, NCI-PID, HumanCyc, and Reactome), and we constructed 22 additional candidate pathways previously hypothesized to be related to bladder cancer. In total, 1421 pathways, 5647 genes and similar to 90,000 SNPs were included in our study. Logistic regression model adjusting for age, sex, study, DNA source, and smoking status was used to assess the marginal trend effect of SNPs on bladder cancer risk. Two complementary pathway-based methods (gene-set enrichment analysis [GSEA], and adapted rank-truncated product [ARTP]) were used to assess the enrichment of association signals within each pathway. Eighteen pathways were detected by either GSEA or ARTP at P <= 0.01. To minimize false positives, we used the I-2 statistic to identify SNPs displaying heterogeneous effects across the five studies. After removing these SNPs, seven pathways ('Aromatic amine metabolism' [P-GSEA = 0.0100, P-ARTP = 0.0020], 'NAD biosynthesis' [P-GSEA = 0.0018, P-ARTP = 0.0086], 'NAD salvage' [P-ARTP = 0.0068], 'Clathrin derived vesicle budding' [P-ARTP = 0.0018], 'Lysosome vesicle biogenesis' [P-GSEA = 0.0023, P-ARTP < 0.00012], 'Retrograde neurotrophin signaling' [P-GSEA = 0.00840], and 'Mitotic metaphase/anaphase transition' [P-GSEA = 0.0040]) remained. These pathways seem to belong to three fundamental cellular processes (metabolic detoxification, mitosis, and clathrin-mediated vesicles). Identification of the aromatic amine metabolism pathway provides support for the ability of this approach to identify pathways with established relevance to bladder carcinogenesis.

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