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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Hong-Son Vu Jia-Xian Guo Kuan-Hung Chen Shu-Jui Hsieh de-Sheng Chen Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan R.O.C Department of Electronic Engineering Feng Chia University Taichung Taiwan R.O.C Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan R.O.C

ISBN: (纸本)9781509020744

Moving objects recognition plays an important role in camera-only active safety systems and intelligent autonomous vehicles. For these applications, reliable detection performance is required; however, pedestrian detection is challenging due to their divergent dressing and action variety. Besides, real-time detection and recognition performance is also critical. This paper aims to optimize the pedestrian detection and recognition by combining both temporal-domain and spatial-domain methods. Accordingly, we first use Background Subtraction (BS) technique to detect moving objects. Then, we use AdaBoost algorithm to classify the detected moving objects into their categories. Experimental results on our datasets show that the proposed approach can speed up 3.3 times in terms of processing rate, with significantly improved detection performance, i.e., at least 17% detection rate increment and 38% false alarm decrement for daytime out-door applications.

关键词： Classification algorithms Object detection Real-time systems Object recognition Lighting Training Histograms

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A Hybrid Iterative Approach for Microarray Missing Value Estimation

A Hybrid Iterative Approach for Microarray Missing Value Est...

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IEEE International Conference on Bioinformatics and Biomedicine

作者： Chong He Changbo Zhao Guo-Zheng Li Wei Zhu William Yang Mary Qu Yang Department of Control Science and Engineering Tongji University Shanghai 201804 China Joint Bioinformatics Ph.D. Program. George Washington Donaghey College of Engineering & IT University of Arkansas at Little Rock and University of Arkansas for Medical Sciences 2801 S. University Avenue Little Rock Arkansas 72204 United States

ISBN: (纸本)9781509016129

The completeness of gene expression data is essential to many gene expression data analysis issues. In this paper, inspired by the idea of semi-supervised learning with tri-training, a hybrid iterative imputation method called tri-imputation is proposed to estimate the missing values in gene expression data. In detail, in each round of tri-imputation, any two imputation methods are collaborating with each other to firstly estimate an initial imputation value, and then to be applied to the rest imputation method for providing different available information. Finally, all these three results are combined with their respective pre-trained confidence values. Experimental results on real microarray matrices indicate that tri-imputation achieves more accurate estimation for missing values in terms of the lowest normalized root-mean-square error.

关键词： Hybrid Iterative Approach Microarray Missing Value Estimation providing Finally

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Correlating Reiff scores with clinical, functional, and prognostic factors: characterizing noncystic fibrosis bronchiectasis severity: validation from a nationwide multicenter study in Taiwan

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European journal of medical research 2024年第1期29卷 286页

作者： Wen-Chien Cheng Chia-Ling Chang Chau-Chyun Sheu Ping-Huai Wang Meng-Heng Hsieh Ming-Tsung Chen Wei-Fan Ou Yu-Feng Wei Tsung-Ming Yang Chou-Chin Lan Cheng-Yi Wang Chih-Bin Lin Ming-Shian Lin Yao-Tung Wang Ching-Hsiung Lin Shih-Feng Liu Meng-Hsuan Cheng Yen-Fu Chen Chung-Kan Peng Ming-Cheng Chan Ching-Yi Chen Lun-Yu Jao Ya-Hui Wang Chi-Jui Chen Shih-Pin Chen Yi-Hsuan Tsai Shih-Lung Cheng Horng-Chyuan Lin Jung-Yien Chien Hao-Chien Wang Wu-Huei Hsu Division of Pulmonary and Critical Care Medicine Department of Internal Medicine China Medical University Hospital Taichung Taiwan. wcchengdr@***. Critical Medical Center China Medical University Hospital Taichung Taiwan. wcchengdr@***. School of Medicine College of Medicine China Medical University Taichung Taiwan. wcchengdr@***. Department of Internal Medicine National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan. Graduate Institute of Clinical Medicine College of Medicine National Taiwan University Taipei Taiwan. Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan. Department of Internal Medicine School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan. Division of Thoracic Medicine Far Eastern Memorial Hospital Taipei Taiwan. Department of Thoracic Medicine Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan. College of Medicine Chang Gung University Taoyuan Taiwan. Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Tri-Service General Hospital National Defense Medical Center Taipei Taiwan. Division of Chest Medicine Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan. Department of Internal Medicine E-Da Cancer Hospital I-Shou University Kaohsiung Taiwan. School of Medicine for International Students College of Medicine I-Shou University Kaohsiung Taiwan. Division of Pulmonary and Critical Care Medicine Chiayi Chang Gung Memorial Hospital Chiayi Taiwan. Division of Pulmonary Medicine Department of Internal Medicine Taipei Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation New Taipei City Taiwan Republic of China. Department of Internal Medicine Cardinal Tien Hospital and School of Medicine College of Medicine Fu Jen Catholic University New Taipei City Taiwan. Division of Pulmonary Medicine Department of Internal Medicine Hualien Tzu Chi Hospital Buddhi

BACKGROUNd:Our study aimed to confirm a simplified radiological scoring system, derived from a modified Reiff score, to evaluate its relationship with clinical symptoms and predictive outcomes in Taiwanese patients with noncystic fibrosis bronchiectasis (NCFB). METHOdS:This extensive multicenter retrospective study, performed in Taiwan, concentrated on patients diagnosed with NCFB verified through high-resolution computed tomography (HRCT) scans. We not only compared the clinical features of various types of bronchiectasis (cylindrical, varicose, and cystic). Furthermore, we established relationships between the severity of clinical factors, including symptom scores, pulmonary function, pseudomonas aeruginosa colonization, exacerbation and admission rates, and HRCT parameters using modified Reiff scores. RESULTS:data from 2,753 patients were classified based on HRCT patterns (cylindrical, varicose, and cystic) and severity, assessed by modified Reiff scores (mild, moderate, and severe). With increasing HRCT severity, a significant correlation was found with decreased forced expiratory volume in the first second (FEV1) (p < 0.001), heightened clinical symptoms (p < 0.001), elevated pathogen colonization (pseudomonas aeruginosa) (p < 0.001), and an increased annual hospitalization rate (p < 0.001). In the following multivariate analysis, elderly age, pseudomonas aeruginosa pneumonia, and hospitalizations per year emerged as the only independent predictors of mortality. CONCLUSION:Based on our large cohort study, the simplified CT scoring system (Reiff score) can serve as a useful adjunct to clinical factors in predicting disease severity and prognosis among Taiwanese patients with NCFB.

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Correction to: dNMT3b/OCT4 expression confers sorafenib resistance and poor prognosis of hepatocellular carcinoma through IL-6/STAT3 regulation

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Journal of experimental & clinical cancer research : CR 2020年第1期39卷 10页

作者： Ssu-Chuan Lai Yu-Ting Su Ching-Chi Chi Yung-Che Kuo Kam-Fai Lee Yu-Chih Wu Pei-Chi Lan Muh-Hwa Yang Te-Sheng Chang Yen-Hua Huang Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei 11031 Taiwan. Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan. TMU Research Center for Cell Therapy and Regeneration Medicine Taipei Medical University Taipei 11031 Taiwan. Department of Dermatology Chang Gung Memorial Hospital Linkou Taoyuan 33305 Taiwan. College of Medicine Chang Gung University Taoyuan 33302 Taiwan. Department of Pathology Chang Gung Memorial Hospital Chiayi 61363 Taiwan. School of Respiratory Therapy College of Medicine Taipei Medical University Taipei 11031 Taiwan. Institute of Clinical Medicine College of Medicine National Yang Ming University Taipei 11221 Taiwan. Division of Medical Oncology Taipei Veterans General Hospital Taipei 11217 Taiwan. School of Traditional Chinese Medicine College of Medicine Chang Gung University Taoyuan 33382 Taiwan. cgmh3621@cgmh.org.tw. Division of Internal Medicine Department of Gastroenterology and Hepatology Chang Gung Memorial Hospital Chiayi 61363 Taiwan. cgmh3621@cgmh.org.tw. Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei 11031 Taiwan. rita1204@tmu.edu.tw. Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan. rita1204@tmu.edu.tw. TMU Research Center for Cell Therapy and Regeneration Medicine Taipei Medical University Taipei 11031 Taiwan. rita1204@tmu.edu.tw. International PhD Program for Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan. rita1204@tmu.edu.tw. Center for Reproductive Medicine Taipei Medical University Hospital Taipei Medical University Taipei 11031 Taiwan. rita1204@tmu.edu.tw. Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei 11031

In the original publication of this article [1], labelling within Fig. 7a was incorrect. The updated figure is shown below, with 'dMT1' now corrected to read 'dNMT1'.

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Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population

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Nature communications 2023年第1期14卷 3043页

作者： Jianxin Shi Kouya Shiraishi Jiyeon Choi Keitaro Matsuo Tzu-Yu Chen Juncheng dai Rayjean J Hung Kexin Chen Xiao-Ou Shu Young Tae Kim Maria Teresa Landi dongxin Lin Wei Zheng Zhihua Yin Baosen Zhou Bao Song Jiucun Wang Wei Jie Seow Lei Song I-Shou Chang Wei Hu Li-Hsin Chien Qiuyin Cai Yun-Chul Hong Hee Nam Kim Yi-Long Wu Maria Pik Wong Brian douglas Richardson Karen M Funderburk Shilan Li Tongwu Zhang Charles Breeze Zhaoming Wang Batel Blechter Bryan A Bassig Jin Hee Kim demetrius Albanes Jason Y Y Wong Min-Ho Shin Lap Ping Chung Yang Yang She-Juan An Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young-Chul Kim Neil E Caporaso Jiang Chang James Chung Man Ho Michiaki Kubo Yataro daigo Minsun Song Yukihide Momozawa Yoichiro Kamatani Masashi Kobayashi Kenichi Okubo Takayuki Honda dean H Hosgood Hideo Kunitoh Harsh Patel Shun-Ichi Watanabe Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Hidehito Horinouchi Masahiro Tsuboi Ryuji Hamamoto Koichi Goto Yuichiro Ohe Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Megumi Hara Yuichiro Nishida Kenji Takeuchi Kenji Wakai Koichi Matsuda Yoshinori Murakami Kimihiro Shimizu Hiroyuki Suzuki Motonobu Saito Yoichi Ohtaki Kazumi Tanaka Tangchun Wu Fusheng Wei Hongji dai Mitchell J Machiela Jian Su Yeul Hong Kim In-Jae Oh Victor Ho Fun Lee Gee-Chen Chang Ying-Huang Tsai Kuan-Yu Chen Ming-Shyan Huang Wu-Chou Su Yuh-Min Chen Adeline Seow Jae Yong Park Sun-Seog Kweon Kun-Chieh Chen Yu-Tang Gao Biyun Qian Chen Wu daru Lu Jianjun Liu Ann G Schwartz Richard Houlston Margaret R Spitz Ivan P Gorlov Xifeng Wu Ping Yang Stephen Lam Adonina Tardon Chu Chen Stig E Bojesen Mattias Johansson Angela Risch Heike Bickeböller Bu-Tian Ji H-Erich Wichmann david C Christiani Gadi Rennert Susanne Arnold Paul Brennan James McKay John K Field Sanjay S Shete Loic Le Marchand Geoffrey Liu Angeline Andrew Lambertus A Kiemeney Shan Zienolddiny-Narui Kjell Grankvist Mikael Johansson Angela Cox Fiona Taylor Jian-Min Yuan philip Lazarus Matthew B Schabath Melinda C Aldrich Hyo-Sung Jeon Shih Sheng Jiang Jae Sook Sung C Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA. jianxin.shi@nih.gov. Division of Genome Biology National Cancer Research Institute Tokyo Japan. Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville MD USA. Division of Cancer Epidemiology and Prevention Aichi Cancer Center Research Institute Nagoya Japan. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Jiangsu Key Lab of Cancer Biomarkers Prevention and Treatment Collaborative Innovation Center for Cancer Medicine Nanjing Medical University Nanjing China. Prosserman Centre for Population Health Research Lunenfeld-Tanenbaum Research Institute Sinai Health Toronto ON Canada. Department of Epidemiology and Biostatistics National Clinical Research Center for Cancer Key Laboratory of Molecular Cancer Epidemiology of Tianjin Tianjin Medical University Cancer Institute and Hospital Tianjin Medical University Tianjin China. Division of Epidemiology Department of Medicine Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center Nashville TN USA. Cancer Research Institute Seoul National University College of Medicine Seoul Republic of Korea. Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology Cancer Institute and Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China. Department of Epidemiology School of Public Health China Medical University Shenyang China. Department of Clinical Epidemiology and Center of Evidence Based Medicine The First Hospital of China Medical University Shenyang China. Department of Oncology Shandong Cancer Hospital and Institute Shandong Academy of Medical Sciences Jinan China. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China. S

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FAdS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (P = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.

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From dissemination to Propagation: A New Paradigm for Education developers

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Change 2017年第4期49卷 35-42页

作者： Froyd, Jeffrey E. Henderson, Charles Cole, Renée S. Friedrichsen, debra Khatri, Raina Stanford, Courtney Jeffrey E. Froyd is a Research Professor at Texas A&M University. His research interests include sustained adoption of improvements in learning and teaching systematic reviews in engineering education evaluation of faculty campus climates and assessment of complex learning outcomes. Charles Henderson is a Professor at Western Michigan University with a joint appointment between the Department of Physics and the Mallinson Institute for Science Education. His research focuses on promoting productive changes in higher education at the individual department institution and national levels. Renée S. Cole is an Associate Professor of Chemistry at the University of Iowa. She teaches introductory and advanced courses in chemistry and runs a research program focused on the design and assessment of instructional materials and teaching strategies and faculty professional development. Debra Friedrichsen founded and operates a small consulting company. She received her Ph.D. from Oregon State University in Chemical Engineering with a dissertation focused on engineering education. Debra also has a MBA a MS and a patent for sensor development. Raina Khatri is a doctoral student in the Mallinson Institute for Science Education at Western Michigan University. Her research focus is understanding how education developers in STEM can promote sustained adoption of their innovations. Courtney Stanford is a postdoctoral researcher in the Department of Chemistry at Virginia Commonwealth University. Her current research focuses on the identification development and assessment of process skills (also known as professional skills) in active learning undergraduate STEM classrooms.

Scholarly studies and national reports document failure of current efforts to achieve broad, sustained adoption of research-based instructional practices, despite compelling bodies of evidence supporting efficacy of many of these practices. The authors of this paper argue that many change agents who are working to promote systemic adoption of these teaching practices use approaches that are characterized by what the authors call the "dissemination paradigm." A dissemination paradigm characterizes patterns of these current, failing efforts. Change agents, working within the dissemination paradigm, try to convince adopters that their innovations can help their students. Efforts within the dissemination paradigm have not led, and are unlikely to lead, to systemic adoption. The authors offer the "propagation paradigm" as an alternative with the potential to produce improved results. Change agents, working within the propagation paradigm, engage with adopters early and often to understand their instructional systems and interactively develop a strong product adaptable to specific contexts.

关键词： Models Change Agents Teaching Methods Information dissemination Educational Innovation Instructional Systems STEM Education Comparative Analysis

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Correction: Advanced anti-corrosion coatings prepared from α-zirconium phosphate/polyurethane nanocomposites

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RSC Advances 2017年第36期7卷 22540-22540页

作者： Tsao-Cheng Huang Guan-Hui Lai Chen-En Li Mei-Hui Tsai Peng-Yun Wang Yi-Hsiu Chung Meng-Hung Lin Department of Chemical and Materials Engineering National Chin-Yi University of Technology 41170 Taichung Taiwan Republic of China Ph. D. Program Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology 41170 Taichung Taiwan Republic of China Department Chemical Engineering Tatung University 104 Taipei Taiwan Republic of China National Chung-Shan Institute of Science and Technology Aeronautical Systems Research Division 40722 Taichung Taiwan Republic of China

Correction for ‘Advanced anti-corrosion coatings prepared from α-zirconium phosphate/polyurethane nanocomposites’ by Tsao-Cheng Huang et al., RSC Adv., 2017, 7, 9908–9913.

Correction for ‘Advanced anti-corrosion coatings prepared from α-zirconium phosphate/polyurethane nanocomposites’ by Tsao-Cheng Huang et al., RSC Adv., 2017, 7, 9908–9913.

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Understanding Knowledge Transfer Efficiency by Human Capital and Knowledge Integration Mechanisms in the Hospitality Industry

Understanding Knowledge Transfer Efficiency by Human Capital...

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2015 International Conference on Education, Management and Systems engineering(EMSE 2015)

作者： Cheng-han LEE Chien-lung TSENG Kuo-kuang CHU "National Kaohsiung First University of Science and Technology" College of Management Ph.D. Program "National Kaohsiung First University of Science and Technology" College of Management Ph.D.Program "National Kaohsiung First University of Science and Technology" Department of Marketing and Distribution Management

The knowledge acquisition is the core ability as a key competency for sustained success to hospitality industry in the competitive environments. This study is to understand how the hospitality sector makes good use of the human capital, promotes the knowledge transfer effectiveness. It discusses the human capital and its influence on the knowledge transfer effectiveness, the knowledge integration mechanisms mediator effect. The result shows that the greater human capital to be possible to lead the knowledge integration mechanisms regarding the knowledge transfer effectiveness the mediator effect, it suggests hospitality sector shall expands unceasingly increases the specificity human capital, the realization endurance organization learning, lead to promotes the organization knowledge transfer effectively in practice.

关键词： Human capital Knowledge transfer efficiency Knowledge integration mechanisms Hospitality industry

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Correction: Interface structure, precursor rheology and dielectric properties of BaTiO3/PVdF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles

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RSC Advances 2017年第73期7卷 45987-45987页

作者： Y. N. Hao K. Bi S. O’Brien X. H. Wang J. Lombardi F. Pearsall W. L. Li M. Lei Y. Wu L. T. Li State Key Laboratory of Information Photonics and Optical Communications School of Science Beijing University of Posts and Telecommunications Beijing 100876 China The Department of Chemistry and Biochemistry The City College of New York The Ph.D. Program in Chemistry The Graduate Center of the City University of New York New York NY 10016 USA State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and Engineering Tsinghua University Beijing 100084 China School of Journalism and Communication Beijing Normal University Beijing 100875 China

Correction for ‘Interface structure, precursor rheology and dielectric properties of BaTiO3/PVdF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles’ by Y. N. Hao et al., RSC Adv., 2017, 7, 32...

Correction for ‘Interface structure, precursor rheology and dielectric properties of BaTiO₃/PVdF–hfp nanocomposite films prepared from colloidal perovskite nanoparticles’ by Y. N. Hao et al., RSC Adv., 2017, 7, 32886–32892.

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Tuberculosis infection and lung adenocarcinoma: Mendelian randomization and pathway analysis of genome-wide association study data from never-smoking Asian women

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Genomics 2020年第2期112卷 1223-1232页

作者： Jason Y Y Wong Han Zhang Chao A Hsiung Kouya Shiraishi Kai Yu Keitaro Matsuo Maria Pik Wong Yun-Chul Hong Jiucun Wang Wei Jie Seow Zhaoming Wang Minsun Song Hee Nam Kim I-Shou Chang Nilanjan Chatterjee Wei Hu Chen Wu Tetsuya Mitsudomi Wei Zheng Jin Hee Kim Adeline Seow Neil E Caporaso Min-Ho Shin Lap Ping Chung She-Juan An Ping Wang Yang Yang Hong Zheng Yasushi Yatabe Xu-Chao Zhang Young Tae Kim Qiuyin Cai Zhihua Yin Young-Chul Kim Bryan A Bassig Jiang Chang James Chung Man Ho Bu-Tian Ji Yataro daigo Hidemi Ito Yukihide Momozawa Kyota Ashikawa Yoichiro Kamatani Takayuki Honda H dean Hosgood Hiromi Sakamoto Hideo Kunitoh Koji Tsuta Shun-Ichi Watanabe Michiaki Kubo Yohei Miyagi Haruhiko Nakayama Shingo Matsumoto Masahiro Tsuboi Koichi Goto Jianxin Shi Lei Song Xing Hua Atsushi Takahashi Akiteru Goto Yoshihiro Minamiya Kimihiro Shimizu Kazumi Tanaka Fusheng Wei Fumihiko Matsuda Jian Su Yeul Hong Kim In-Jae Oh Fengju Song Wu-Chou Su Yu-Min Chen Gee-Chen Chang Kuan-Yu Chen Ming-Shyan Huang Li-Hsin Chien Yong-Bing Xiang Jae Yong Park Sun-Seog Kweon Chien-Jen Chen Kyoung-Mu Lee Batel Blechter Haixin Li Yu-Tang Gao Biyun Qian daru Lu Jianjun Liu Hyo-Sung Jeon Chin-Fu Hsiao Jae Sook Sung Ying-Huang Tsai Yoo Jin Jung Huan Guo Zhibin Hu Wen-Chang Wang Charles C Chung Laurie Burdett Meredith Yeager Amy Hutchinson Sonja I Berndt Wei Wu Herbert Pang Yuqing Li Jin Eun Choi Kyong Hwa Park Sook Whan Sung Li Liu C H Kang Meng Zhu Chung-Hsing Chen Tsung-Ying Yang Jun Xu Peng Guan Wen Tan Chih-Liang Wang Michael Hsin Ko-Yung Sit James Ho Ying Chen Yi Young Choi Jen-Yu Hung Jun Suk Kim Ho Il Yoon Chien-Chung Lin In Kyu Park Ping Xu Yuzhuo Wang Qincheng He Reury-Perng Perng Chih-Yi Chen Roel Vermeulen Junjie Wu Wei-Yen Lim Kun-Chieh Chen Yao-Jen Li Jihua Li Hongyan Chen Chong-Jen Yu Li Jin Tzu-Yu Chen Shih-Sheng Jiang Jie Liu Taiki Yamaji Belynda Hicks Kathleen Wyatt Shengchao A Li Juncheng dai Hongxia Ma Guangfu Jin Bao Song Zhehai Wang Sensen Cheng Xuelian Li Yangwu Ren Ping Cui Motoki Iwasaki Taichi Shimazu Shoichiro Tsugane Junjie Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Electronic address: jason.wong@nih.gov. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA. Institute of Population Health Sciences National Health Research Institutes Zhunan Taiwan. Division of Genome Biology National Cancer Center Research Institute Tokyo Japan. Division of Cancer Epidemiology and Prevention Aichi Cancer Center Research Institute Nagoya Japan Department of Cancer Epidemiology Nagoya University Graduate School of Medicine Nagoya Japan. Department of Pathology Queen Mary Hospital The University of Hong Kong Hong Kong. Department of Preventive Medicine Seoul National University College of Medicine Seoul Republic of Korea. Ministry of Education Key Laboratory of Contemporary Anthropology School of Life Sciences Fudan University Shanghai China State Key Laboratory of Genetic Engineering School of Life Sciences Fudan University Shanghai China. Saw Swee Hock School of Public Health National University of Singapore Singapore. Cancer Genomics Research Laboratory Leidos Biomedical Research Inc Gaithersburg MD USA Department of Computational Biology St. Jude Children's Research Hospital Memphis TN USA. Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA Department of Statistics Sookmyung Women's University Seoul Republic of Korea. Department of Preventive Medicine Chonnam National University Medical School Gwangju Republic of Korea. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. Bloomberg School of Public Health Johns Hopkins University Baltimore MD USA. Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology Cancer Institute and Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China. Division of Thoracic Surgery Kinki University School of Medicine Sayama Japan. Division of

We investigated whether genetic susceptibility to tuberculosis (TB) influences lung adenocarcinoma development among never-smokers using TB genome-wide association study (GWAS) results within the Female Lung Cancer Consortium in Asia. Pathway analysis with the adaptive rank truncated product method was used to assess the association between a TB-related gene-set and lung adenocarcinoma using GWAS data from 5512 lung adenocarcinoma cases and 6277 controls. The gene-set consisted of 31 genes containing known/suggestive associations with genetic variants from previous TB-GWAS. Subsequently, we followed-up with Mendelian Randomization to evaluate the association between TB and lung adenocarcinoma using three genome-wide significant variants from previous TB-GWAS in East Asians. The TB-related gene-set was associated with lung adenocarcinoma (p = 0.016). Additionally, the Mendelian Randomization showed an association between TB and lung adenocarcinoma (OR = 1.31, 95% CI: 1.03, 1.66, p = 0.027). Our findings support TB as a causal risk factor for lung cancer development among never-smoking Asian women.

关键词： Lung adenocarcinoma Lung cancer Mendelian randomization Pathway analysis Tuberculosis

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