Search
Now showing items 1-7 of 7
Association analysis identifies 65 new breast cancer risk loci.
(2017-11)
Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. ...
Gene-environment interactions involving functional variants: Results from the Breast Cancer Association Consortium.
(WILEY, 2017-11-01)
Investigating the most likely causal variants identified by fine-mapping analyses may improve the power to detect gene-environment interactions. We assessed the interplay between 70 single nucleotide polymorphisms identified ...
Family history and risk of breast cancer: an analysis accounting for family structure.
(SPRINGER, 2017-08-01)
PURPOSE: Family history is an important risk factor for breast cancer incidence, but the parameters conventionally used to categorize it are based solely on numbers and/or ages of breast cancer cases in the family and take ...
Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.
(NATURE PORTFOLIO, 2017-05-01)
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 ...
Genetic modifiers of CHEK2*1100delC-associated breast cancer risk.
(NATURE PUBLISHING GROUP, 2017-05-01)
PURPOSE: CHEK2*1100delC is a founder variant in European populations that confers a two- to threefold increased risk of breast cancer (BC). Epidemiologic and family studies have suggested that the risk associated with ...
Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.
(NATURE PORTFOLIO, 2017-12-01)
Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative ...
Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors.
(NATURE PORTFOLIO, 2017-05-01)
Genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, but individual studies have had limited power to identify risk loci. We performed a meta-analysis of existing GWAS and two ...