Search
Now showing items 1-6 of 6
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. ...
Genome-wide association analysis of chronic lymphocytic leukaemia, Hodgkin lymphoma and multiple myeloma identifies pleiotropic risk loci.
(NATURE PORTFOLIO, 2017-01-23)
B-cell malignancies (BCM) originate from the same cell of origin, but at different maturation stages and have distinct clinical phenotypes. Although genetic risk variants for individual BCMs have been identified, an agnostic, ...
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 ...
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 classical Hodgkin lymphoma identifies key regulators of disease susceptibility.
(NATURE PUBLISHING GROUP, 2017-12-01)
Several susceptibility loci for classical Hodgkin lymphoma have been reported. However, much of the heritable risk is unknown. Here, we perform a meta-analysis of two existing genome-wide association studies, a new genome-wide ...
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 ...