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Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk
Open accessAbstract
BACKGROUND: Defective cellular transport processes can lead to aberrant accumulation of trace elements, iron, small molecules and hormones in the cell, which in turn may promote the formation of reactive oxygen species, promoting DNA damage and aberrant expression of key regulatory cancer genes. As DNA damage and uncontrolled proliferation are hallmarks of cancer, including epithelial ovarian cancer (EOC), we hypothesized that inherited variation in the cellular transport genes contributes to EOC risk. METHODS: In total, DNA samples were obtained from 14,525 case subjects with invasive EOC and from 23,447 controls from 43 sites in the Ovarian Cancer Association Consortium (OCAC). Two hundred seventy nine SNPs, representing 131 genes, were genotyped using an Illumina Infinium iSelect BeadChip as part of the Collaborative Oncological Gene-environment Study (COGS). SNP analyses were conducted using unconditional logistic regression under a log-additive model, and the FDR q<0.2 was applied to adjust for multiple comparisons. RESULTS: The most significant evidence of an association for all invasive cancers combined and for the serous subtype was observed for SNP rs17216603 in the iron transporter gene HEPH (invasive: OR = 0.85, P = 0.00026; serous: OR = 0.81, P = 0.00020); this SNP was also associated with the borderline/low malignant potential (LMP) tumors (P = 0.021). Other genes significantly associated with EOC histological subtypes (p<0.05) included the UGT1A (endometrioid), SLC25A45 (mucinous), SLC39A11 (low malignant potential), and SERPINA7 (clear cell carcinoma). In addition, 1785 SNPs in six genes (HEPH, MGST1, SERPINA, SLC25A45, SLC39A11 and UGT1A) were imputed from the 1000 Genomes Project and examined for association with INV EOC in white-European subjects. The most significant imputed SNP was rs117729793 in SLC39A11 (per allele, OR = 2.55, 95% CI = 1.5-4.35, p = 5.66x10-4). CONCLUSION: These results, generated on a large cohort of women, revealed associations between inherited cellular transport gene variants and risk of EOC histologic subtypes.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J., & Abecasis, G. R. (2012) · Nature Genetics · doi:10.1038/ng.2354 · Cited by 1,737
Oxidative Stress and Iron Homeostasis: Mechanistic and Health Aspects
Galaris, D., & Pantopoulos, K. (2008) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408360701713104 · Cited by 352
Modulation of iron transport proteins in human colorectal carcinogenesis
Brookes, M. J., Hughes, S., Turner, F. E., Reynolds, G., Sharma, N., Ismail, T., Berx, G., McKie, A. T., Hotchin, N., Anderson, G. J., et al. (2006) · Gut · doi:10.1136/gut.2006.094060 · Cited by 226
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Metadata
- Authors
- Chornokur, G., Lin, H.-Y., Tyrer, J. P., Lawrenson, K., Dennis, J., Amankwah, E. K., Qu, X., Tsai, Y.-Y., Jim, H. S. L., Chen, Z., Chen, A. Y., Permuth-Wey, J., Aben, K. K., Anton-Culver, H., Antonenkova, N., Bruinsma, F., Bandera, E. V., Bean, Y. T., Beckmann, M. W., Bisogna, M., Bjorge, L., Bogdanova, N., Brinton, L. A., Brooks-Wilson, A., Bunker, C. H., Butzow, R., Campbell, I. G., Carty, K., Chang-Claude, J., Cook, L. S., Cramer, D. W., Cunningham, J. M., Cybulski, C., Dansonka-Mieszkowska, A., du Bois, A., Despierre, E., Dicks, E., Doherty, J. A., Dörk, T., Dürst, M., Easton, D. F., Eccles, D. M., Edwards, R. P., Ekici, A. B., Fasching, P. A., Fridley, B. L., Gao, Y.-T., Gentry-Maharaj, A., Giles, G. G., Glasspool, R., Goodman, M. T., Gronwald, J., Harrington, P., Harter, P., Hein, A., Heitz, F., Hildebrandt, M. A. T., Hillemanns, P., Hogdall, C. K., Hogdall, E., Hosono, S., Jakubowska, A., Jensen, A., Ji, B.-T., Karlan, B. Y., Kelemen, L. E., Kellar, M., Kiemeney, L. A., Krakstad, C., Kjaer, S. K., Kupryjanczyk, J., Lambrechts, D., Lambrechts, S., Le, N. D., Lee, A. W., Lele, S., Leminen, A., Lester, J., Levine, D. A., Liang, D., Lim, B. K., Lissowska, J., Lu, K., Lubinski, J., Lundvall, L., Massuger, L. F. A. G., Matsuo, K., McGuire, V., McLaughlin, J. R., McNeish, I., Menon, U., Milne, R. L., Modugno, F., Moysich, K. B., Ness, R. B., Nevanlinna, H., Eilber, U., Odunsi, K., Olson, S. H., Orlow, I., Orsulic, S., Weber, R. P., Paul, J., Pearce, C. L., Pejovic, T., Pelttari, L. M., Pike, M. C., Poole, E. M., Risch, H. A., Rosen, B., Rossing, M. A., Rothstein, J. H., Rudolph, A., Runnebaum, I. B., Rzepecka, I. K., Salvesen, H. B., Schernhammer, E., Schwaab, I., Shu, X.-O., Shvetsov, Y. B., Siddiqui, N., Sieh, W., Song, H., Southey, M. C., Spiewankiewicz, B., Sucheston, L., Teo, S.-H., Terry, K. L., Thompson, P. J., Thomsen, L., Tangen, I. L., Tworoger, S. S., van Altena, A. M., Vierkant, R. A., Vergote, I., Walsh, C. S., Wang-Gohrke, S., Wentzensen, N., Whittemore, A. S., Wicklund, K. G., Wilkens, L. R., Wu, A. H., Wu, X., Woo, Y.-L., Yang, H., Zheng, W., Ziogas, A., Hasmad, H. N., Berchuck, A., Georgia Chenevix-Trench on behalf of the AOCS management group, Iversen, E. S., Schildkraut, J. M., Ramus, S. J., Goode, E. L., Monteiro, A. N. A., Gayther, S. A., Narod, S. A., Pharoah, P. D. P., Sellers, T. A., & Phelan, C. M.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-06-19
- Volume
- 10
- Issue
- 6
- Pages
- e0128106
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1780088415
- Cited by
- 902
- References
- 6
- FWCI
- 124.82
- Type
- journal article
- Language
- en
- Open access
- gold
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