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Dataset Information

Common variants in breast cancer risk loci predispose to distinct tumor subtypes.


ABSTRACT:

Background

Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear.

Methods

Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes.

Results

Eighty-five of 173 variants

SUBMITTER: Ahearn TU 

PROVIDER: S-EPMC8725568 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature