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CLC number: R589.2

On-line Access: 2017-08-08

Received: 2016-10-08

Revision Accepted: 2017-03-14

Crosschecked: 2017-07-19

Cited: 0

Clicked: 3383

Citations:  Bibtex RefMan EndNote GB/T7714


Li-ning Su


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Journal of Zhejiang University SCIENCE B 2017 Vol.18 No.8 P.727-732


Network analysis identifies common genes associated with obesity in six obesity-related diseases

Author(s):  Li-ning Su, Yan-bing Wang, Chun-guang Wnag, Hui-ping Wei

Affiliation(s):  Department of Biology, Hebei North University, Zhangjiakou 075029, China; more

Corresponding email(s):   whp123456@sina.com

Key Words:  Obesity, Obesity-related diseases, CAD, Diabetes, Hypertension, Breast cancer, Polycystic ovarian syndrome, Kidney cancer

Li-ning Su, Yan-bing Wang, Chun-guang Wnag, Hui-ping Wei. Network analysis identifies common genes associated with obesity in six obesity-related diseases[J]. Journal of Zhejiang University Science B, 2017, 18(8): 727-732.

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author="Li-ning Su, Yan-bing Wang, Chun-guang Wnag, Hui-ping Wei",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Network analysis identifies common genes associated with obesity in six obesity-related diseases
%A Li-ning Su
%A Yan-bing Wang
%A Chun-guang Wnag
%A Hui-ping Wei
%J Journal of Zhejiang University SCIENCE B
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%DOI 10.1631/jzus.B1600454

T1 - Network analysis identifies common genes associated with obesity in six obesity-related diseases
A1 - Li-ning Su
A1 - Yan-bing Wang
A1 - Chun-guang Wnag
A1 - Hui-ping Wei
J0 - Journal of Zhejiang University Science B
VL - 18
IS - 8
SP - 727
EP - 732
%@ 1673-1581
Y1 - 2017
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1600454

obesity has been reported to be associated with many diseases. However, common obesity-induced biological processes have not been evaluated across these diseases. We identified genes associated with obesity and obesity-related diseases, and used them to construct protein‒protein interaction networks. We also analyzed gene ontology (GO) in those genes overlapping between obesity and disease. Our work identifies gene modules common to obesity and obesity-related diseases, which can provide a basis for understanding the process of how obesity induces disease.


方法:从疾病及肥胖数据库中获得与疾病和肥胖相关的基因,利用生物信息学软件进行蛋白互作网络分析和中心基因分析,筛选中心基因;对疾病与肥胖数据库中的重叠基因进行GO(Gene Ontology,基因本体)功能富集,获得在疾病中发挥作用的共同的基因本体功能集群。


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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