A Mendelian randomization analysis of circulating lipid traits and breast cancer risk

Abstract

Conventional epidemiologic studies have evaluated associations between circulating lipid levels and breast cancer risk, but results have been inconsistent. As Mendelian randomization analyses may provide evidence for causal inference, we sought to evaluate potentially unbiased associations between breast cancer risk and four genetically predicted lipid traits.

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 23, 2019
Source ID
10.1093/ije/dyz242

Entities

People

  • Alicia Beeghly-Fadiel
  • Alison Dunning
  • David J. Hunter
  • Douglas F. Easton
  • Drakoulis Yannoukakos
  • Georgia Chenevix-Trench
  • Hall Per
  • Jacques Simard
  • Joe Dennis
  • Kyriaki Michailidou
  • Manjeet K. Bolla
  • Marjanka K Schmidt
  • Nikhil K. Khankari
  • Paul D P Pharoah
  • Peter Kraft
  • Qin Wang
  • Roger L. Milne
  • Ryan J Delahanty
  • Wei Zheng
  • Xiao-Ou Shu
  • Yingchang Lu

Organizations

  • Canadian Institutes of Health Research
  • Cancer Council Victoria
  • Cancer Research UK
  • Harvard University
  • KWF Kankerbestrijding
  • Karolinska Institutet
  • Laval University
  • National Cancer Institute
  • National Health Service
  • National Health and Medical Research Council
  • National Institutes of Health
  • Ovarian Cancer Research Alliance
  • QIMR Berghofer Medical Research Institute
  • Quebec Breast Cancer Foundation
  • Tenet Healthcare
  • The Breast Cancer Research Foundation
  • United States Department of Defense
  • University of Cambridge
  • University of Melbourne
  • Vanderbilt University
  • Victorian Health Promotion Foundation

Tags

Readers

  • Molecular and genetic basis of cancer.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • Biotechnology