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Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women

Overview of attention for article published in Human Molecular Genetics, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

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1 news outlet
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1 X user

Citations

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49 Dimensions

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100 Mendeley
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Title
Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women
Published in
Human Molecular Genetics, January 2016
DOI 10.1093/hmg/ddv494
Pubmed ID
Authors

Zhaoming Wang, Wei Jie Seow, Kouya Shiraishi, Chao A Hsiung, Keitaro Matsuo, Jie Liu, Kexin Chen, Taiki Yamji, Yang Yang, I-Shou Chang, Chen Wu, Yun-Chul Hong, Laurie Burdett, Kathleen Wyatt, Charles C Chung, Shengchao A Li, Meredith Yeager, Amy Hutchinson, Wei Hu, Neil Caporaso, Maria T Landi, Nilanjan Chatterjee, Minsun Song, Joseph F Fraumeni, Takashi Kohno, Jun Yokota, Hideo Kunitoh, Kyota Ashikawa, Yukihide Momozawa, Yataro Daigo, Tetsuya Mitsudomi, Yasushi Yatabe, Toyoaki Hida, Zhibin Hu, Juncheng Dai, Hongxia Ma, Guangfu Jin, Bao Song, Zhehai Wang, Sensen Cheng, Zhihua Yin, Xuelian Li, Yangwu Ren, Peng Guan, Jiang Chang, Wen Tan, Chien-Jen Chen, Gee-Chen Chang, Ying-Huang Tsai, Wu-Chou Su, Kuan-Yu Chen, Ming-Shyan Huang, Yuh-Min Chen, Hong Zheng, Haixin Li, Ping Cui, Huan Guo, Ping Xu, Li Liu, Motoki Iwasaki, Taichi Shimazu, Shoichiro Tsugane, Junjie Zhu, Gening Jiang, Ke Fei, Jae Yong Park, Yeul Hong Kim, Jae Sook Sung, Kyong Hwa Park, Young Tae Kim, Yoo Jin Jung, Chang Hyun Kang, In Kyu Park, Hee Nam Kim, Hyo-Sung Jeon, Jin Eun Choi, Yi Young Choi, Jin Hee Kim, In-Jae Oh, Young-Chul Kim, Sook Whan Sung, Jun Suk Kim, Ho-Il Yoon, Sun-Seog Kweon, Min-Ho Shin, Adeline Seow, Ying Chen, Wei-Yen Lim, Jianjun Liu, Maria Pik Wong, Victor Ho Fun Lee, Bryan A Bassig, Margaret Tucker, Sonja I Berndt, Wong-Ho Chow, Bu-Tian Ji, Junwen Wang, Jun Xu, Alan Dart Loon Sihoe, James C M Ho, John K C Chan, Jiu-Cun Wang, Daru Lu, Xueying Zhao, Zhenhong Zhao, Junjie Wu, Hongyan Chen, Li Jin, Fusheng Wei, Guoping Wu, She-Juan An, Xu-Chao Zhang, Jian Su, Yi-Long Wu, Yu-Tang Gao, Yong-Bing Xiang, Xingzhou He, Jihua Li, Wei Zheng, Xiao-Ou Shu, Qiuyin Cai, Robert Klein, William Pao, Charles Lawrence, H Dean Hosgood, Chin-Fu Hsiao, Li-Hsin Chien, Ying-Hsiang Chen, Chung-Hsing Chen, Wen-Chang Wang, Chih-Yi Chen, Chih-Liang Wang, Chong-Jen Yu, Hui-Ling Chen, Yu-Chun Su, Fang-Yu Tsai, Yi-Song Chen, Yao-Jen Li, Tsung-Ying Yang, Chien-Chung Lin, Pan-Chyr Yang, Tangchun Wu, Dongxin Lin, Baosen Zhou, Jinming Yu, Hongbing Shen, Michiaki Kubo, Stephen J Chanock, Nathaniel Rothman, Qing Lan

Abstract

Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Professor 11 11%
Student > Master 10 10%
Professor > Associate Professor 8 8%
Other 7 7%
Other 15 15%
Unknown 29 29%
Readers by discipline Count As %
Medicine and Dentistry 27 27%
Biochemistry, Genetics and Molecular Biology 12 12%
Agricultural and Biological Sciences 6 6%
Environmental Science 3 3%
Nursing and Health Professions 2 2%
Other 14 14%
Unknown 36 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 24 May 2016.
All research outputs
#3,829,175
of 26,017,215 outputs
Outputs from Human Molecular Genetics
#1,530
of 8,520 outputs
Outputs of similar age
#62,147
of 405,604 outputs
Outputs of similar age from Human Molecular Genetics
#93
of 125 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,520 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 81% 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 405,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.