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Whiteman, David C.

https://orcid.org/0000-0003-2563-9559

Mayo Clinic

QIMR Berghofer Medical Research Institute

Citations 12

Polymorphism in the GALNT1 Gene and Epithelial Ovarian Cancer in Non-Hispanic White Women: The Ovarian Cancer Association Consortium
Phelan, Catherine M., Tsai, Ya-Yu, Goode, Ellen L. , Vierkant, Robert A. , Beesley, Jonathan, Chen, Xiao Qing, Webb, Penelope M. , Moysich, Kirsten B., Edwards, Robert P., Chang‐Claude, Jenny , García‐Closas, Montserrat , Wang‐Gohrke, Shan , Hein, Rebecca, Lissowska, Jolanta , Carney, Michael E., Lurie, Galina, Ness, Roberta B., Pearce, Celeste Leigh, Wu, Anna H. , Berg, David J. Van Den, Terry, Kathryn L. , Whiteman, David C. , Whittemore, Alice S. , DiCioccio, Richard A., McGuire, Valerie , Rossing, Mary Anne, Høgdall, Claus , Høgdall, Estrid , Kjær, Susanne K. , Blaakær, Jan , Quaye, Lydia, Ramus, Susan J. , Jacobs, Ian , Song, Honglin , Iversen, Edwin S., Marks, Jeffrey R. , Pike, Malcolm C. , Gayther, Simon A. , Cunningham, Julie M. , Goodman, Marc T. , Schildkraut, Joellen M. , Chenevix‐Trench, Georgia , Sellers, Thomas A. , Group, Australian Ovarian Cancer Study, Fridley, Brooke L. , Chen, Xiao Qing, Chanock, Stephen Jacob , Cramer, Daniel W. , Yang, Hannah , Green, Adèle C. , Wilkens, Lynne R. , Stram, Daniel O. , Doherty, Jennifer A. , Anton‐Culver, Hoda , Ziogas, Argyrios , Pharoah, Paul D.P. , Berchuck, Andrew , Group, Australian Ovarian Cancer Study, Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Vierkant, Robert A , Moysich, Kirsten , Lissowska, Jolanta , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Whiteman, David C , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | February 8, 2010 | Volume: 19 | Issue: 2 | Pages: 600-604

10.1158/1055-9965.epi-09-0861 Get It

Abstract Aberrant glycosylation is a well-described hallmark of cancer. In a previous ovarian cancer case control study that examined polymorphisms in 26 glycosylation-associated genes, we found strong statistical evidence (P = 0.00017) that women who inherited two copies of a single-nucleotide polymorphism in the UDP-N-acetylgalactosamine:polypeptide N-acetylgalactosaminyltransferase, GALNT1, had decreased ovarian cancer risk. The current study attempted to replicate this observation. The GALNT1 single-nucleotide polymorphism rs17647532 was genotyped in 6,965 cases and 8,377 controls from 14 studies forming the Ovarian Cancer Association Consortium. The fixed effects estimate per rs17647532 allele was null (odds ratio, 0.99; 95% confidence interval, 0.92-1.07). When a recessive model was fit, the results were unchanged. Test for hetero geneity of the odds ratios revealed consistency across the 14 replication sites but significant differences compared with the original study population (P = 0.03). This study underscores the need for replication of putative findings in genetic association studies. Cancer Epidemiol Biomarkers Prev; 19(2); 600–4
Tagging Single Nucleotide Polymorphisms in Cell Cycle Control Genes and Susceptibility to Invasive Epithelial Ovarian Cancer
Gayther, Simon A. , Song, Honglin , Ramus, Susan J. , Kjær, Susanne K. , Whittemore, Alice S. , Quaye, Lydia, Shadforth, Danielle, Høgdall, Estrid , Høgdall, Claus , Blaeker, Jan, DiCioccio, Richard A., McGuire, Valerie , Webb, Penelope M. , Beesley, Jonathan, Whiteman, David C. , Group, The Australian Ovarian Cancer Study, Cancer), The Australian Cancer Study (Ovarian, Goodman, Marc T. , Lurie, Galina, Carney, Michael E., Ness, Roberta B., Edwards, Robert P., Moysich, Kirsten B., Goode, Ellen L. , Cunningham, Julie M. , Sellers, Thomas A. , Wu, Anna H. , Pike, Malcolm C. , Iversen, Edwin S., Marks, Jeffrey R. , García‐Closas, Montserrat , Brinton, Louise A. , Lissowska, Jolanta , Pepłońska, Beata , Easton, Douglas F. , Jacobs, Ian , Ponder, Bruce A.J., Schildkraut, Joellen M. , Pearce, Celeste Leigh, Chenevix‐Trench, Georgia , Pharoah, Paul D.P., Blaakær, Jan , Tyrer, Jonathan P. , Green, Adèle C. , Group, The Australian Ovarian Cancer Study, Cancer), The Australian Cancer Study (Ovarian, Modugno, Francesmary , Couch, Fergus J. , Berchuck, Andrew , Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Moysich, Kirsten , Lissowska, Jolanta , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Whiteman, David C , Goodman, Marc T

Cancer Research | April 4, 2007 | Volume: 67 | Issue: 7 | Pages: 3027-3035

10.1158/0008-5472.can-06-3261 Get It

Abstract High-risk susceptibility genes explain <40% of the excess risk of familial ovarian cancer. Therefore, other ovarian cancer susceptibility genes are likely to exist. We have used a single nucleotide polymorphism (SNP)–tagging approach to evaluate common variants in 13 genes involved in cell cycle control—CCND1, CCND2, CCND3, CCNE1, CDK2, CDK4, CDK6, CDKN1A, CDKN1B, CDKN2A, CDKN2B, CDKN2C, and CDKN2D—and risk of invasive epithelial ovarian cancer. We used a two-stage, multicenter, case-control study. In stage 1, 88 SNPs that tag common variation in these genes were genotyped in three studies from the United Kingdom, United States, and Denmark (∼1,500 cases and 2,500 controls). Genotype frequencies in cases and controls were compared using logistic regression. In stage 2, eight other studies from Australia, Poland, and the United States (∼2,000 cases and ∼3,200 controls) were genotyped for the five most significant SNPs from stage 1. No SNP was significant in the stage 2 data alone. Using the combined stages 1 and 2 data set, CDKN2A rs3731257 and CDKN1B rs2066827 were associated with disease risk (unadjusted P trend = 0.008 and 0.036, respectively), but these were not significant after adjusting for multiple testing. Carrying the minor allele of these SNPs was found to be associated with reduced risk [OR, 0.91 (0.85–0.98) for rs3731257; and OR, 0.93 (0.87–0.995) for rs2066827]. In conclusion, we have found evidence that a single tagged SNP in both the CDKN2A and CDKN1B genes may be associated with reduced ovarian cancer risk. This study highlights the need for multicenter collaborations for genetic association studies. [Cancer Res 2007;67(7):3027–35]