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Status: Bibliographieeintrag

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Verfasst von:Dünnebier, Thomas [VerfasserIn]   i
 Lorenzo Bermejo, Justo [VerfasserIn]   i
 Haas, Susanne [VerfasserIn]   i
 Fischer, Hans-Peter [VerfasserIn]   i
 Pierl, Christiane B. [VerfasserIn]   i
 Justenhoven, Christina [VerfasserIn]   i
 Brauch, Hiltrud [VerfasserIn]   i
 Baisch, Christian [VerfasserIn]   i
 Gilbert, Michael [VerfasserIn]   i
 Harth, Volker [VerfasserIn]   i
 Spickenheuer, Anne [VerfasserIn]   i
 Rabstein, Sylvia [VerfasserIn]   i
 Pesch, Beate [VerfasserIn]   i
 Brüning, Thomas [VerfasserIn]   i
 Ko, Yon-Dschun [VerfasserIn]   i
 Hamann, Ute [VerfasserIn]   i
Titel:Polymorphisms in the UBC9 and PIAS3 genes of the SUMO-conjugating system and breast cancer risk
Verf.angabe:Thomas Dünnebier, Justo Lorenzo Bermejo, Susanne Haas, Hans-Peter Fischer, Christiane B. Pierl, Christina Justenhoven, Hiltrud Brauch, Christian Baisch, Michael Gilbert, Volker Harth, Anne Spickenheuer, Sylvia Rabstein, Beate Pesch, Thomas Brüning, Yon-Dschun Ko, Ute Hamann
Jahr:2010
Umfang:10 S.
Fussnoten:Published online: 17 September 2009 ; Gesehen am 20.02.2023
Titel Quelle:Enthalten in: Breast cancer research and treatment
Ort Quelle:Dordrecht [u.a.] : Springer Science + Business Media B.V., 1981
Jahr Quelle:2010
Band/Heft Quelle:121(2010), 1 vom: Mai, Seite 185-194
ISSN Quelle:1573-7217
Abstract:SUMOylation consists in the covalent conjugation of small ubiquitin-related modifiers to target proteins. SUMOylation participates in processes that are tightly linked to tumorigenesis, and genetic variability in the SUMO-conjugating system may influence the development of breast cancer. We recently reported that variation in the UBC9 gene encoding the SUMO-conjugating enzyme may affect the grade of breast tumors. Following comprehensive in silico analyses for detection of putative functional polymorphisms in 14 genes of the SUMO system, we selected one coding SNP in PIAS3 and seven tag SNPs in UBC9 for association analyses. Results were based on 1,021 cases, and 1,015 matched controls from the population-based GENICA study. Odds ratios (OR) and 95% confidence intervals (CI) were estimated by conditional logistic regression. To explore the association with polymorphisms closely linked to the genotyped variants, multiple imputation based on HapMap data was applied. The study revealed associations of four UBC9 polymorphisms with risk of grade 1 tumors. Comparison of genotype and haplotype models indicated that the best representation of risk solely relied on rs7187167 under dominant penetrance. Women carrying the rare allele showed an increased risk of grade 1 tumors compared with common homozygotes (OR 1.87, 95% CI 1.18-2.95). This effect appeared to be stronger in women with a family history of breast or ovarian cancer. Imputation of polymorphisms in a 300-kb region around the genotyped polymorphisms identified no variants with stronger associations. Our findings suggest that genetic variation in UBC9 may affect the risk of grade 1 breast tumors.
DOI:doi:10.1007/s10549-009-0530-y
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1007/s10549-009-0530-y
 DOI: https://doi.org/10.1007/s10549-009-0530-y
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Breast cancer risk
 Multiple imputation
 SUMOylation
 Tumor grade
 UBC9 and PIAS3 polymorphisms
K10plus-PPN:1837062714
Verknüpfungen:→ Zeitschrift

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