Combined Analysis with Copy Number Variation Identifies Risk Loci in Lung Cancer
Joint Authors
Zhang, Zhenguo
Hu, Landian
Zhou, You
Liu, Yang
Yi, Xianfu
Wang, Ping
Zhao, Guoping
Chen, Xianfeng
Wei, Zejun
Li, Xinlei
Hu, Guohong
Zhu, Jun
Zhang, Jie
Yuan, Fei
Zhu, Yufei
Kong, Xiangyin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-01
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Background.
Lung cancer is the most important cause of cancer mortality worldwide, but the underlying mechanisms of this disease are not fully understood.
Copy number variations (CNVs) are promising genetic variations to study because of their potential effects on cancer.
Methodology/Principal Findings.
Here we conducted a pilot study in which we systematically analyzed the association of CNVs in two lung cancer datasets: the Environment And Genetics in Lung cancer Etiology (EAGLE) and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial datasets.
We used a preestablished association method to test the datasets separately and conducted a combined analysis to test the association accordance between the two datasets.
Finally, we identified 167 risk SNP loci and 22 CNVs associated with lung cancer and linked them with recombination hotspots.
Functional annotation and biological relevance analyses implied that some of our predicted risk loci were supported by other studies and might be potential candidate loci for lung cancer studies.
Conclusions/Significance.
Our results further emphasized the importance of copy number variations in cancer and might be a valuable complement to current genome-wide association studies on cancer.
American Psychological Association (APA)
Li, Xinlei& Chen, Xianfeng& Hu, Guohong& Liu, Yang& Zhang, Zhenguo& Wang, Ping…[et al.]. 2014. Combined Analysis with Copy Number Variation Identifies Risk Loci in Lung Cancer. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-473947
Modern Language Association (MLA)
Li, Xinlei…[et al.]. Combined Analysis with Copy Number Variation Identifies Risk Loci in Lung Cancer. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-473947
American Medical Association (AMA)
Li, Xinlei& Chen, Xianfeng& Hu, Guohong& Liu, Yang& Zhang, Zhenguo& Wang, Ping…[et al.]. Combined Analysis with Copy Number Variation Identifies Risk Loci in Lung Cancer. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-473947
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-473947