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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

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Published on: January 12, 2020

Candidate gene analysis using imputed genotypes: cell cycle single-nucleotide polymorphisms and ovarian cancer risk

Ellen L Goode1, Brooke L Fridley, Robert A Vierkant

  • 1Department of Health Sciences Research, Mayo Clinic College of Medicine, 200 First Street Southwest, Rochester, MN 55905, USA. egoode@mayo.edu

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|March 5, 2009
PubMed
Summary

Genetic variations in cell cycle genes are linked to ovarian cancer risk. This study combined data from five ovarian cancer studies, using imputation to analyze single nucleotide polymorphisms (SNPs) and identify key genes associated with cancer development.

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