Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.
Phelan CM, Kuchenbaecker KB, Tyrer JP et al.
Publication Details
Comprehensive information about this research publication
Authors
Abstract
Summary of the research findings
To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.
2,966 European ancestry cases, 40,941 European ancestry controls
Study Statistics
Key metrics and study information
AI-Generated Summary
AI-generated by DNAGENICSIndependent AI summary of health and genetic findings from the published study
Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.
AI Summary In Progress
Our AI-generated summary of this publication is being prepared. Please check back soon.
Summary
Key Findings
Health Insights
Disease Analysis
Genetic Trait Analysis
Clinical Relevance
Related Publications
Other publications that may be of interest
Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism.
Burstein D
Nat Genet
Binge-eating disorder (BMI-adjusted)
Multitrait analyses identify genetic variants associated with aortic valve function and aortic stenosis risk.
Kany S
Nat Genet
Aortic stenosis (MTAG)
Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.
Henry A
Nat Genet
Heart failure
Global multi-ancestry genome-wide analyses identify genes and biological pathways associated with thyroid cancer and benign thyroid diseases.
White SL
Nat Genet
Thyroid cancer
Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction.
He Y
Nat Genet
Forced expiratory volume in 1 second (FEV1)
Explore More Research
Discover the latest findings in health and genetic research