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Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia

Overview of attention for article published in Nature Genetics, November 2012
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
9 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
284 Dimensions

Readers on

mendeley
192 Mendeley
citeulike
2 CiteULike
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Title
Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia
Published in
Nature Genetics, November 2012
DOI 10.1038/ng.2456
Pubmed ID
Authors

Qing Lan, Chao A Hsiung, Keitaro Matsuo, Yun-Chul Hong, Adeline Seow, Zhaoming Wang, H Dean Hosgood, Kexin Chen, Jiu-Cun Wang, Nilanjan Chatterjee, Wei Hu, Maria Pik Wong, Wei Zheng, Neil Caporaso, Jae Yong Park, Chien-Jen Chen, Yeul Hong Kim, Young Tae Kim, Maria Teresa Landi, Hongbing Shen, Charles Lawrence, Laurie Burdett, Meredith Yeager, Jeffrey Yuenger, Kevin B Jacobs, I-Shou Chang, Tetsuya Mitsudomi, Hee Nam Kim, Gee-Chen Chang, Bryan A Bassig, Margaret Tucker, Fusheng Wei, Zhihua Yin, Chen Wu, She-Juan An, Biyun Qian, Victor Ho Fun Lee, Daru Lu, Jianjun Liu, Hyo-Sung Jeon, Chin-Fu Hsiao, Jae Sook Sung, Jin Hee Kim, Yu-Tang Gao, Ying-Huang Tsai, Yoo Jin Jung, Huan Guo, Zhibin Hu, Amy Hutchinson, Wen-Chang Wang, Robert Klein, Charles C Chung, In-Jae Oh, Kuan-Yu Chen, Sonja I Berndt, Xingzhou He, Wei Wu, Jiang Chang, Xu-Chao Zhang, Ming-Shyan Huang, Hong Zheng, Junwen Wang, Xueying Zhao, Yuqing Li, Jin Eun Choi, Wu-Chou Su, Kyong Hwa Park, Sook Whan Sung, Xiao-Ou Shu, Yuh-Min Chen, Li Liu, Chang Hyun Kang, Lingmin Hu, Chung-Hsing Chen, William Pao, Young-Chul Kim, Tsung-Ying Yang, Jun Xu, Peng Guan, Wen Tan, Jian Su, Chih-Liang Wang, Haixin Li, Alan Dart Loon Sihoe, Zhenhong Zhao, Ying Chen, Yi Young Choi, Jen-Yu Hung, Jun Suk Kim, Ho-Il Yoon, Qiuyin Cai, Chien-Chung Lin, In Kyu Park, Ping Xu, Jing Dong, Christopher Kim, Qincheng He, Reury-Perng Perng, Takashi Kohno, Sun-Seog Kweon, Chih-Yi Chen, Roel Vermeulen, Junjie Wu, Wei-Yen Lim, Kun-Chieh Chen, Wong-Ho Chow, Bu-Tian Ji, John K C Chan, Minjie Chu, Yao-Jen Li, Jun Yokota, Jihua Li, Hongyan Chen, Yong-Bing Xiang, Chong-Jen Yu, Hideo Kunitoh, Guoping Wu, Li Jin, Yen-Li Lo, Kouya Shiraishi, Ying-Hsiang Chen, Hsien-Chih Lin, Tangchun Wu, Yi-Long Wu, Pan-Chyr Yang, Baosen Zhou, Min-Ho Shin, Joseph F Fraumeni, Dongxin Lin, Stephen J Chanock, Nathaniel Rothman

Abstract

To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland China, South Korea, Japan, Singapore, Taiwan and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10(-6)) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10(-18)), 6q22.2 (rs9387478, P = 4.14 × 10(-10)) and 6p21.32 (rs2395185, P = 9.51 × 10(-9)). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 2%
United States 2 1%
Canada 2 1%
Unknown 185 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 21%
Researcher 35 18%
Student > Master 15 8%
Professor 15 8%
Student > Bachelor 13 7%
Other 35 18%
Unknown 39 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 26%
Medicine and Dentistry 44 23%
Biochemistry, Genetics and Molecular Biology 26 14%
Computer Science 7 4%
Environmental Science 4 2%
Other 18 9%
Unknown 44 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 20 July 2020.
All research outputs
#1,661,398
of 26,017,215 outputs
Outputs from Nature Genetics
#2,349
of 7,639 outputs
Outputs of similar age
#10,483
of 197,092 outputs
Outputs of similar age from Nature Genetics
#21
of 80 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,639 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 68% 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 197,092 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 94% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.