↓ Skip to main content

Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations

Overview of attention for article published in Nature Genetics, September 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
1 patent
weibo
10 weibo users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
153 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Joint analysis of three genome-wide association studies of esophageal squamous cell carcinoma in Chinese populations
Published in
Nature Genetics, September 2014
DOI 10.1038/ng.3064
Pubmed ID
Authors

Chen Wu, Zhaoming Wang, Xin Song, Xiao-Shan Feng, Christian C Abnet, Jie He, Nan Hu, Xian-Bo Zuo, Wen Tan, Qimin Zhan, Zhibin Hu, Zhonghu He, Weihua Jia, Yifeng Zhou, Kai Yu, Xiao-Ou Shu, Jian-Min Yuan, Wei Zheng, Xue-Ke Zhao, She-Gan Gao, Zhi-Qing Yuan, Fu-You Zhou, Zong-Min Fan, Ji-Li Cui, Hong-Li Lin, Xue-Na Han, Bei Li, Xi Chen, Sanford M Dawsey, Linda Liao, Maxwell P Lee, Ti Ding, You-Lin Qiao, Zhihua Liu, Yu Liu, Dianke Yu, Jiang Chang, Lixuan Wei, Yu-Tang Gao, Woon-Puay Koh, Yong-Bing Xiang, Ze-Zhong Tang, Jin-Hu Fan, Jing-Jing Han, Sheng-Li Zhou, Peng Zhang, Dong-Yun Zhang, Yuan Yuan, Ying Huang, Chunling Liu, Kan Zhai, Yan Qiao, Guangfu Jin, Chuanhai Guo, Jianhua Fu, Xiaoping Miao, Changdong Lu, Haijun Yang, Chaoyu Wang, William A Wheeler, Mitchell Gail, Meredith Yeager, Jeff Yuenger, Er-Tao Guo, Ai-Li Li, Wei Zhang, Xue-Min Li, Liang-Dan Sun, Bao-Gen Ma, Yan Li, Sa Tang, Xiu-Qing Peng, Jing Liu, Amy Hutchinson, Kevin Jacobs, Carol Giffen, Laurie Burdette, Joseph F Fraumeni, Hongbing Shen, Yang Ke, Yixin Zeng, Tangchun Wu, Peter Kraft, Charles C Chung, Margaret A Tucker, Zhi-Chao Hou, Ya-Li Liu, Yan-Long Hu, Yu Liu, Li Wang, Guo Yuan, Li-Sha Chen, Xiao Liu, Teng Ma, Hui Meng, Li Sun, Xin-Min Li, Xiu-Min Li, Jian-Wei Ku, Ying-Fa Zhou, Liu-Qin Yang, Zhou Wang, Yin Li, Qirenwang Qige, Wen-Jun Yang, Guang-Yan Lei, Long-Qi Chen, En-Min Li, Ling Yuan, Wen-Bin Yue, Ran Wang, Lu-Wen Wang, Xue-Ping Fan, Fang-Heng Zhu, Wei-Xing Zhao, Yi-Min Mao, Mei Zhang, Guo-Lan Xing, Ji-Lin Li, Min Han, Jing-Li Ren, Bin Liu, Shu-Wei Ren, Qing-Peng Kong, Feng Li, Ilyar Sheyhidin, Wu Wei, Yan-Rui Zhang, Chang-Wei Feng, Jin Wang, Yu-Hua Yang, Hong-Zhang Hao, Qi-De Bao, Bao-Chi Liu, Ai-Qun Wu, Dong Xie, Wan-Cai Yang, Liang Wang, Xiao-Hang Zhao, Shu-Qing Chen, Jun-Yan Hong, Xue-Jun Zhang, Neal D Freedman, Alisa M Goldstein, Dongxin Lin, Philip R Taylor, Li-Dong Wang, Stephen J Chanock

Abstract

We conducted a joint (pooled) analysis of three genome-wide association studies (GWAS) of esophageal squamous cell carcinoma (ESCC) in individuals of Chinese ancestry (5,337 ESCC cases and 5,787 controls) with 9,654 ESCC cases and 10,058 controls for follow-up. In a logistic regression model adjusted for age, sex, study and two eigenvectors, two new loci achieved genome-wide significance, marked by rs7447927 at 5q31.2 (per-allele odds ratio (OR) = 0.85, 95% confidence interval (CI) = 0.82-0.88; P = 7.72 × 10(-20)) and rs1642764 at 17p13.1 (per-allele OR = 0.88, 95% CI = 0.85-0.91; P = 3.10 × 10(-13)). rs7447927 is a synonymous SNP in TMEM173, and rs1642764 is an intronic SNP in ATP1B2, near TP53. Furthermore, a locus in the HLA class II region at 6p21.32 (rs35597309) achieved genome-wide significance in the two populations at highest risk for ESSC (OR = 1.33, 95% CI = 1.22-1.46; P = 1.99 × 10(-10)). Our joint analysis identifies new ESCC susceptibility loci overall as well as a new locus unique to the population in the Taihang Mountain region at high risk of ESCC.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United States 2 1%
France 1 <1%
Unknown 148 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 20%
Researcher 29 19%
Student > Master 25 16%
Professor 10 7%
Professor > Associate Professor 8 5%
Other 24 16%
Unknown 27 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 23%
Medicine and Dentistry 31 20%
Biochemistry, Genetics and Molecular Biology 26 17%
Engineering 4 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 16 10%
Unknown 38 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 16 March 2023.
All research outputs
#2,191,639
of 25,387,189 outputs
Outputs from Nature Genetics
#2,800
of 7,567 outputs
Outputs of similar age
#22,115
of 246,042 outputs
Outputs of similar age from Nature Genetics
#43
of 79 outputs
Altmetric has tracked 25,387,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.0. This one has gotten more attention than average, scoring higher than 62% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,042 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.