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Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk

Overview of attention for article published in Frontiers in oncology, June 2016
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Title
Polymorphisms of Insulin-Like Growth Factor 1 Pathway Genes and Breast Cancer Risk
Published in
Frontiers in oncology, June 2016
DOI 10.3389/fonc.2016.00136
Pubmed ID
Authors

Joy Shi, Kristan J. Aronson, Anne Grundy, Lindsay C. Kobayashi, Igor Burstyn, Johanna M. Schuetz, Caroline A. Lohrisch, Sandip K. SenGupta, Agnes S. Lai, Angela Brooks-Wilson, John J. Spinelli, Harriet Richardson

Abstract

Genetic variants of insulin-like growth factor 1 (IGF1) pathway genes have been shown to be associated with breast density and IGF1 levels and, therefore, may also influence breast cancer risk via pro-survival signaling cascades. The aim of this study was to investigate associations between IGF1 pathway single nucleotide polymorphisms (SNPs) and breast cancer risk among European and East Asian women, and potential interactions with menopausal status and breast tumor subtype. Stratified analyses of 1,037 cases and 1,050 controls from a population-based case-control study were conducted to assess associations with breast cancer for 22 SNPs across 5 IGF1 pathway genes in European and East Asian women. Odds ratios were calculated using logistic regression in additive genetic models. Polytomous logistic regression was used to assess heterogeneity by breast tumor subtype. Two SNPs of the IGF1 gene (rs1019731 and rs12821878) were associated with breast cancer risk among European women. Four highly linked IGF1 SNPs (rs2288378, rs17727841, rs7136446, and rs7956547) were modified by menopausal status among East Asian women only and associated with postmenopausal breast cancers. The association between rs2288378 and breast cancer risk was also modified by breast tumor subtype among East Asian women. Several IGF1 polymorphisms were found to be associated with breast cancer risk and some of these associations were modified by menopausal status or breast tumor subtype. Such interactions should be considered when assessing the role of these variants in breast cancer etiology.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Professor > Associate Professor 2 11%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 5%
Researcher 1 5%
Other 1 5%
Unknown 7 37%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Biochemistry, Genetics and Molecular Biology 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Psychology 1 5%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 10 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 July 2016.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Frontiers in oncology
#11,313
of 22,416 outputs
Outputs of similar age
#271,100
of 354,664 outputs
Outputs of similar age from Frontiers in oncology
#51
of 76 outputs
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