Body Mass Index Genetic Risk Score and Endometrial Cancer Risk
Body Mass Index Genetic Risk Score and Endometrial Cancer Risk
About this item
Full title
Author / Creator
Prescott, Jennifer , Setiawan, Veronica W. , Wentzensen, Nicolas , Schumacher, Fredrick , Yu, Herbert , Delahanty, Ryan , Bernstein, Leslie , Chanock, Stephen J. , Chen, Chu , Cook, Linda S. , Friedenreich, Christine , Garcia-Closas, Monserrat , Haiman, Christopher A. , Le Marchand, Loic , Liang, Xiaolin , Lissowska, Jolanta , Lu, Lingeng , Magliocco, Anthony M. , Olson, Sara H. , Risch, Harvey A. , Shu, Xiao-Ou , Ursin, Giske , Yang, Hannah P. , Kraft, Peter and De Vivo, Immaculata
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
Genome-wide association studies (GWAS) have identified common variants that predispose individuals to a higher body mass index (BMI), an independent risk factor for endometrial cancer. Composite genotype risk scores (GRS) based on the joint effect of published BMI risk loci were used to explore whether endometrial cancer shares a genetic background...
Alternative Titles
Full title
Body Mass Index Genetic Risk Score and Endometrial Cancer Risk
Authors, Artists and Contributors
Author / Creator
Setiawan, Veronica W.
Wentzensen, Nicolas
Schumacher, Fredrick
Yu, Herbert
Delahanty, Ryan
Bernstein, Leslie
Chanock, Stephen J.
Chen, Chu
Cook, Linda S.
Friedenreich, Christine
Garcia-Closas, Monserrat
Haiman, Christopher A.
Le Marchand, Loic
Liang, Xiaolin
Lissowska, Jolanta
Lu, Lingeng
Magliocco, Anthony M.
Olson, Sara H.
Risch, Harvey A.
Shu, Xiao-Ou
Ursin, Giske
Yang, Hannah P.
Kraft, Peter
De Vivo, Immaculata
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1736408171
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1736408171
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0143256
