Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?

Overview of attention for article published in Cancers, May 2021

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Article details
Title	Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?
Published in	Cancers, May 2021
DOI	10.3390/cancers13102370
Pubmed ID	34069208
Authors	JooYong Park, Ji-Yeob Choi, Jaesung Choi, Seokang Chung, Nan Song, Sue K. Park, Wonshik Han, Dong-Young Noh, Sei-Hyun Ahn, Jong Won Lee, Mi Kyung Kim, Sun Ha Jee, Wanqing Wen, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Mitul Shah, Don M. Conroy, Patricia A. Harrington, Rebecca Mayes, Kamila Czene, Per Hall, Lauren R. Teras, Alpa V. Patel, Fergus J. Couch, Janet E. Olson, Elinor J. Sawyer, Rebecca Roylance, Stig E. Bojesen, Henrik Flyger, Diether Lambrechts, Adinda Baten, Keitaro Matsuo, Hidemi Ito, Pascal Guénel, Thérèse Truong, Renske Keeman, Marjanka K. Schmidt, Anna H. Wu, Chiu-Chen Tseng, Angela Cox, Simon S. Cross, kConFab Investigators, Irene L. Andrulis, John L. Hopper, Melissa C. Southey, Pei-Ei Wu, Chen-Yang Shen, Peter A. Fasching, Arif B. Ekici, Kenneth Muir, Artitaya Lophatananon, Hermann Brenner, Volker Arndt, Michael E. Jones, Anthony J. Swerdlow, Reiner Hoppe, Yon-Dschun Ko, Mikael Hartman, Jingmei Li, Arto Mannermaa, Jaana M. Hartikainen, Javier Benitez, Anna González-Neira, Christopher A. Haiman, Thilo Dörk, Natalia V. Bogdanova, Soo Hwang Teo, Nur Aishah Mohd Taib, Olivia Fletcher, Nichola Johnson, Mervi Grip, Robert Winqvist, Carl Blomqvist, Heli Nevanlinna, Annika Lindblom, Camilla Wendt, Vessela N. Kristensen, NBCS Collaborators, Rob A. E. M. Tollenaar, Bernadette A. M. Heemskerk-Gerritsen, Paolo Radice, Bernardo Bonanni, Ute Hamann, Mehdi Manoochehri, James V. Lacey, Maria Elena Martinez, Alison M. Dunning, Paul D. P. Pharoah, Douglas F. Easton, Keun-Young Yoo, Daehee Kang

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Activity

Mendeley demographics

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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Geographical breakdown

Geographical breakdown
Country	Count	As %
Unknown	48	100%

Demographic breakdown

Readers by professional status
Readers by professional status	Count	As %
Researcher	9	19%
Student > Master	2	4%
Student > Bachelor	1	2%
Professor	1	2%
Professor > Associate Professor	1	2%
Other	1	2%
Unknown	33	69%

Readers by discipline
Readers by discipline	Count	As %
Medicine and Dentistry	4	8%
Agricultural and Biological Sciences	2	4%
Environmental Science	1	2%
Biochemistry, Genetics and Molecular Biology	1	2%
Computer Science	1	2%
Other	2	4%
Unknown	37	77%