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American Journal of Epidemiology|June 22, 2017
Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment IndependenceGang Liu, Bhramar Mukherjee, Seunggeun Lee, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|May 3, 2014
A genome wide association study (GWAS) providing evidence of an association between common genetic variants and late radiotherapy toxicityGillian C Barnett, Deborah Thompson, Laura Fachal, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|August 12, 2015
Contribution of Germline Mutations in the RAD51B, RAD51C, and RAD51D Genes to Ovarian Cancer in the PopulationHonglin Song, Ed Dicks, Susan J Ramus, et al.
Oncotarget|September 9, 2017
Germline whole exome sequencing and large-scale replication identifies FANCM as a likely high grade serous ovarian cancer susceptibility geneEd Dicks, Honglin Song, Susan J Ramus, et al.
Journal of the National Cancer Institute|August 29, 2015
Germline Mutations in the BRIP1, BARD1, PALB2, and NBN Genes in Women With Ovarian CancerSusan J Ramus, Honglin Song, Ed Dicks, et al.
Human Molecular Genetics|May 23, 2003
Genetic and functional analyses of FH mutations in multiple cutaneous and uterine leiomyomatosis, hereditary leiomyomatosis and renal cancer, and fumarate hydratase deficiencyN A Alam, A J Rowan, N C Wortham, et al.
International Journal of Cancer|December 1, 2018
A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variantsSehee Kim, Miao Wang, Jonathan P Tyrer, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|March 16, 2016
Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk FactorsJoseph L Usset, Rama Raghavan, Jonathan P Tyrer, et al.
Nature Genetics|August 17, 2023
Exome sequencing identifies breast cancer susceptibility genes and defines the contribution of coding variants to breast cancer riskNaomi Wilcox, Martine Dumont, Anna González-Neira, et al.
HGG Advances|July 28, 2021
Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancerSiddhartha P Kar, Daniel P C Considine, Jonathan P Tyrer, et al.
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