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PMID: 18268124 Published · ppublish English Journal Article

Association of single nucleotide polymorphisms in glycosylation genes with risk of epithelial ovarian cancer.

Sellers TA, Huang Y, Cunningham J, Goode EL, Sutphen R, Vierkant RA, Kelemen LE, Fredericksen ZS, Liebow M, Pankratz VS, Hartmann LC, Myer J, Iversen ES, Schildkraut JM, Phelan C

Abstract

Studies suggest that underglycosylation of the cell membrane mucin MUC1 may be associated with epithelial ovarian cancer. We identified 26 genes involved in glycosylation and examined 93 single nucleotide polymorphisms (SNP) with a minor allele frequency of > or =0.05 in relation to incident ovarian cancer. Cases were ascertained at the Mayo Clinic, Rochester, MN (n = 396) or a 48-county region in North Carolina (Duke University; n = 534). Ovarian cancer-free controls (n = 1,037) were frequency matched to the cases on age, race, and residence. Subjects were interviewed to obtain data on risk factors and a sample of blood for DNA and genotyped using the Illumina GoldenGate assay. We excluded subjects and individual SNPs with genotype call rates of <90%. Data were analyzed using logistic regression, with adjustment for age and residence. We fitted dominant, log additive, and recessive genetic models. Among Caucasians, nine SNPs in eight genes were associated with risk at P < 0.05 under at least one genetic model before adjusting for multiple testing. A SNP in GALNT1 (rs17647532) was the only one that remained statistically significant after Bonferroni adjustment for multiple testing but was not statistically significant in Hardy-Weinberg equilibrium among controls. Haplotype analyses revealed a global association of GALNT1 with risk (P = 0.038, under a recessive genetic model), which largely reflected a decreased risk of one haplotype (0.10 frequency; odds ratio, 0.07; P = 0.01) compared with the most common haplotype (0.39 frequency). These results suggest that genetic polymorphisms in the glycoslyation process may be novel risk factors for ovarian cancer.

MeSH Terms
Analysis of Variance Case-Control Studies Chi-Square Distribution Female Genotype Glycosylation Haplotypes Humans Logistic Models Middle Aged Minnesota Mucin-1/genetics North Carolina Ovarian Neoplasms/ethnology,genetics Polymorphism, Single Nucleotide Risk Factors
Chemicals
MUC1 protein, human Mucin-1
Authors & Affiliations
15 authors, click to expand affiliations / ORCID
Sellers Thomas A
Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA. [email protected]
Huang Yifan
Cunningham Julie
Goode Ellen L
Sutphen Rebecca
Vierkant Robert A
Kelemen Linda E
Fredericksen Zachary S
Liebow Mark
Pankratz V Shane
Hartmann Lynn C
Myer Jeff
Iversen Edwin S
Schildkraut Joellen M
Phelan Catherine
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Article Info
Journal
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
Abbr.
Cancer Epidemiol Biomarkers Prev
ISSN
1055-9965
Published
2008-02-00
Pages
397-404
Language
English
Region
United States
NLM ID
9200608
PMCID
PMC3303215
Subset
IM
Grants
NCI NIH HHS · R01 CA106414 · United States
NCI NIH HHS · R01 CA106414-03 · United States
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