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

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Human molecular genetics 2016年第3期25卷 620-9页

作者： 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 Cancer Genomics Research Laboratory Leidos Biomedical Research Inc. Gaithersburg MD USA Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Rockville MD USA wangzha@mail.nih.gov. Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Rockville MD USA. Division of Genome Biology National Cancer Center Hospital Tokyo Japan. Institute of Population Health Sciences. Division of Molecular Medicine Aichi Cancer Center Research Institute Nagoya Japan. Department of Oncology Shandong Cancer Hospital and Institute Shandong Academy of Medical Sciences Jinan China. Department of Epidemiology and Biostatistics National Clinical Research Center for Cancer Tianjin Medical University Cancer Institute and Hospital Tianjin China. Epidemiology and Prevention Group Research Center for Cancer Prevention and Screening National Cancer Center Tokyo Japan. Shanghai Pulmonary Hospital Shanghai China. National Institute of Cancer Research National Health Research Institutes Zhunan Taiwan. 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 Preventive Medicine. Cancer Genomics Research Laboratory Leidos Biomedical Research Inc. Gaithersburg MD USA Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Rockville MD USA. Cancer Genome Biology Group Institute of Predictive and Personalized Medicine of Cancer Barcelona Spain. Department of Medical Oncology Japanese Red Cross Medical Center Tokyo Japan. Laboratory for Genotyping Development RIKEN Center for Integrative Medical Sciences Yokohama Japan. Laboratory of Molecular Medicine Human Genome Center Institute of Medical Science University of Tokyo Tokyo Japan. Division of Thoracic Surgery Kinki University School of Medicine

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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Use of sensors systems to monitor the mobility of elderly

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Journal of Physics: Conference Series 2013年第1期477卷

作者： M R Marques T M Raymundo C S Santana Master student at Post Graduate Program Interunits Bioengineering EESC/FMRP/IQSC – University of Sao Paulo Brazil Master of Science Professor Dr. at Neuroscience and Behavioral Science Department – Ribeirao Preto Medical School University of Sao Paulo and Post Graduate Program Interunits Bioengineering EESC/FMRP/IQSC – University of Sao Paulo Brazil PhD student at Post Graduate Program Interunits Bioengineering EESC/FMRP/IQSC – University of Sao Paulo Brazil

Even presenting risk of falls or mobility difficulties, many seniors prefer to live independently as long as possible. Thus, there is a need for solutions to enable independent living safely and to strengthen family support. Among them are the collection devices that assist in monitoring and quality of life of seniors. This paper aims to conduct a survey of devices developed to capture signal monitoring and mobility aid for the elderly. The devices were grouped into a main category (sensors) followed by secondary categories in relation to the type of use of the sensors (aid device with sensors, robotics and smart homes). Data were analyzed descriptively, listing the products with the types of use. The study raised a total of 22 products. It is observed that most of the feedback systems is to use sensor systems alone, without being used in sets with other technologies like assistive devices or robotics. Most of the technologies has been developed for detecting falls, and fewer tasks are transfer and mobility in the community. We emphasize the importance of unity of catchment systems signals with assistive technologies, in addition to monitoring the elderly provide direct aid in performing the task performed.

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Effect of digital anesthesia on multi-finger synergies during a sub-maximal constant force production task

Effect of digital anesthesia on multi-finger synergies durin...

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55th Human Factors and Ergonomics Society Annual Meeting, HFES 2011

作者： Karol, Sohit Shim, Jae Kun Department of Kinesiology University of Maryland College Park MD 20742 United States Neuroscience and Cognitive Science Graduate Program University of Maryland College Park MD 20742 United States Bioengineering Graduate Program University of Maryland College Park MD 20742 United States Department of Mechanical Engineering Kyung Hee University Global Campus Korea Republic of

ISBN: (纸本)9780945289395

The aim of this study was to investigate the effect of tactile feedback on multi-finger coordination, quantified by a synergy index using the uncontrolled manifold analysis. Twenty healthy, young volunteers were asked to press with all the four fingers on four, one dimensional sensors at 20% of their maximum voluntary force. A visual feedback of total force output was shown on a computer monitor. Tactile feedback was removed by administering ring block anesthesia. Results from this study suggest that the multi-finger synergies, the task errors as well as the flexibility of the motor system to produce the forces decrease significantly with the administration of anesthesia.

关键词： Computer monitors

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Corrigendum to “ In vivo suppression of polyglutamine neurotoxicity by C-terminus of Hsp70-interacting protein (CHIP) supports an aggregation model of pathogenesis”[Neurobiology of Disease 33/3 (2009) 342–353 ]

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Neurobiology of Disease 2012年第2期46卷 503-503页

作者： Williams, Aislinn J. Knutson, Tina M. Colomer Gould, Veronica F. Paulson, Henry L. Graduate Program in Neuroscience and Medical Scientist Training Program University of Iowa 2206 MERF Iowa City IA 52242 USA Holden Comprehensive Cancer Center University of Iowa Hospitals and Clinics 5980Z JPP Iowa City IA 52240 USA Department of Psychiatry Johns Hopkins University Baltimore MD 21287 USA Departamento de Fisiología Biofísica y Neurociencias Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional 07360 México DF México Department of Neurology University of Michigan 109 Zina Pitcher Place 4188 BSRB Ann Arbor MI 48109 USA

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Movement decoding from noninvasive neural signals

Movement decoding from noninvasive neural signals

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jose L. Contreras-Vidal Trent J. Bradberry Harshavardhan Agashe Department of Kinesiology Graduate Programs in Bioengineering and Neuroscience & Cognitive Science University of Maryland College Park MD USA Fischell Department of Bioengineering University of Maryland College Park MD USA Graduate Program in Neuroscience & Cognitive Science University of Maryland College Park MD USA

It is generally assumed that noninvasively-acquired neural signals contain an insufficient level of information for decoding or reconstructing detailed kinematics of natural, multi-joint limb movements and hand gestures. Here, we review recent findings from our laboratory at the University of Maryland showing that noninvasive scalp electroencephalography (EEG) or magnetoencephalography (MEG) can be used to continuously decode the kinematics of 2D `center-out' drawing, unconstrained 3D `center-out' reaching and 3D finger gesturing. These findings suggest that these `far-field', extra-cranial neural signals contain rich information about the neural representation of movement at the macroscale, and thus these neural representations provide alternative methods for developing noninvasive brain-machine interfaces with wide-ranging clinical relevance and for understanding functional and pathological brain states at various stages of development and aging.

关键词： Electroencephalography Decoding Fingers Trajectory Scalp Kinematics Neurons

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Hemodynamic correlates of visuomotor motor adaptation by functional Near Infrared Spectroscopy

Hemodynamic correlates of visuomotor motor adaptation by fun...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Rodolphe J. Gentili Cyrus Hadavi Hasan Ayaz Patricia A. Shewokis José L. Contreras-Vidal Department of Kinesiology and Graduate Program in Neuroscience and Cognitive Science University of Maryland College Park MD USA Department of Biology and Mathematics University of Maryland College Park MD USA School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia PA USA College of Nursing and Health Professions and the School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia PA USA Department of Kinesiology Fischell Department of Bioengineering and Graduate Program in Neuroscience and Cognitive Science University of Maryland College Park MD USA

The development of rehabilitation engineering technologies such as the design of smart prosthetics necessitates a deep understanding of brain mechanisms engaged in ecological situations when human interact with new tools and/or environments. Thus, we aimed to investigate potential hemodynamic signatures reflecting the level of cognitive-motor performance and/or the internal or mental states of individuals when learning a novel tool with unknown properties. These markers were derived from functional Near Infrared Spectroscopy (fNIR) signals. Our results indicate an increased level of oxy-hemoglobin in prefrontal sensors associated with enhanced kinematics during early compared with late learning. This is consistent with previous neuroimaging studies that revealed a higher contribution of prefrontal areas during early compare to late adaptation learning. These non-invasive functional hemodynamic markers may play a role in bioengineering applications such as smart neuroprosthesis and brain monitoring where adaptive behavior is important.

关键词： Hemodynamics Kinematics Electroencephalography Induction motors Educational institutions Biomedical engineering Decoding

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Two sides of the same coin no longer: Genetic separation of nociceptive sensitization responses

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Communicative and Integrative Biology 2009年第6期2卷 517-519页

作者： Babcock, Daniel T. Galko, Michael J. Department of Biochemistry and Molecular Biology University of Texas Graduate School of Biomedical Sciences The University of Texas MD Anderson Cancer Center Houston TX United States Neuroscience Graduate Program University of Texas Graduate School of Biomedical Sciences The University of Texas MD Anderson Cancer Center Houston TX United States Genes and Development Graduate Program University of Texas Graduate School of Biomedical Sciences The University of Texas MD Anderson Cancer Center Houston TX United States

Nociceptive sensitization is a conserved form of neuronal plasticity that serves an important survival function, as it fosters behavior that protects damaged tissue during healing. This sensitization may involve a lowering of the nociceptive threshold (allodynia) or an increased response to normally noxious stimuli (hyperalgesia). Although nociceptive sensitization has been intensively studied in vertebrate models, an open question in the field is the extent to which allodynia and hyperalgesia, which almost always occur in tandem, are truly separate events at the mechanistic level. We recently introduced a genetically tractable model for damage-induced nociceptive sensitization in Drosophila larvae, and identified a conserved cytokine signaling module that mediates development of allodynia following UV irradiation. This pathway includes the Drosophila homolog of Tumor Necrosis Factor-α (TNFα), Eiger, which is released from damaged epidermal cells and acts directly on its receptor, Wengen, located on nociceptive sensory neurons. Here we show that although Eiger and Wengen are both required for the development of thermal allodynia, they are dispensable for thermal hyperalgesia, suggesting, contrary to what is commonly assumed, that these two forms of hypersensitivity are initiated by separate genetic pathways. © 2009 Landes Bioscience.

关键词： Allodynia Cytokines Drosophila Eiger Hyperalgesia Nociception Tissue repair Tumor necrosis factor UV damage Wengen

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Decoding hand and cursor kinematics from magnetoencephalographic signals during tool use

Decoding hand and cursor kinematics from magnetoencephalogra...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Trent J. Bradberry Jose L. Contreras-Vidal Feng Rong Fischell Department of Bioengineering University of Maryland College Park MD USA Department of Kinesiology Fischell Department of Bioengineering and Graduate Program in Neuroscience and Cognitive Science University of Maryland College Park MD USA National Institute on Deafness and other Communication Disorders Bethesda MD USA Graduate Program in Neuroscience and Cognitive Science University of Maryland College Park MD USA

The ability to decode kinematics of intended movement from neural activity is essential for the development of prosthetic devices, such as artificial arms, that can aid motor-disabled persons. To date, most of the progress in the development of neuromotor prostheses has been obtained by decoding neural activity acquired through invasive means, such as microelectrode arrays seated into motor cortical tissue. In this study, we demonstrate the feasibility of decoding both hand position and velocity from non-invasive magnetoencephalographic signals during a center-out drawing task in familiar and novel environments. The mean correlation coefficients between measured and decoded kinematics ranged from 0.27–0.61 for the horizontal dimension of movement and 0.06–0.58 for the vertical dimension. Our results indicate that non-invasive neuroimaging signals may contain sufficient kinematic information for controlling neuromotor prostheses.

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Nonpolypoid neoplastic lesions of the colorectal mucosa

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GASTROINTESTINAL ENDOSCOPY 2008年第4期68卷 S3-S47页

作者： Kudo, Shin ei Lambert, Rene Allen, John I. Fujii, Hiroaki Fujii, Takahiro Kashida, Hiroshi Matsuda, Takahisa Mori, Masaki Saito, Hiroshi Shimoda, Tadakazu Tanaka, Shinji Watanabe, Hidenobu Sung, Joseph J. Feld, Andrew D. Inadomi, John M. O'Brien, Michael J. Lieberman, David A. Ransohoff, David F. Soetikno, Roy M. Triadafilopoulos, George Zauber, Ann Teixeira, Claudio Rolim Rey, Jean Franigois Jaramillo, Edgar Rubio, Carlos A. Van Gossum, Andre Jung, Michael Vieth, Michael Jass, Jeremy R. Hurlstone, Paul D. [a]Current affiliations: Hiroaki Fujii MD Department of Pathology (II) Juntendo University School of Medicine Tokyo Japan. Takahiro Fujii MD TF Clinic Ginza Tokyo Japan. Hiroshi Kashida MD Shin ei Kudo MD Digestive Disease Center Northern Yokohama Hospital Showa University Yokohama Japan. Takahisa Matsuda MD Division of Endoscopy Tadakazu Shimoda MD Clinical Laboratory Division National Cancer Centre Hospital Tokyo Japan. Masaki Mori MD PhD FACS Department of Surgery Medical Institute of Bioregulation Kyushu University Hospital Beppu Japan. Hiroshi Saito MD Cancer Screening Technology Division Research Center for Cancer Prevention and Screening National Cancer Center Tokyo Japan. Shinji Tanaka MD Department of Endoscopy Hiroshima University Hospital Hiroshima Japan. Hidenobu Watanabe MD Division of Molecular and Diagnostic Pathology Graduate School of Medical and Dental Sciences Niigata University Niigata Japan. Joseph J. Sung MD Institute of Digestive Diseases Chinese University of Hong Kong Prince of Wales Hospital Shatin Hong Kong. John I. Allen MD Medical Director Minnesota Gastroenterology University of Minnesota School of Medicine Minneapolis Minnesota USA. Andrew D. Feld MD Clinical Associate Professor of Medicine Central Division of Gastroenterology Group Health Cooperative University of Washington Seattle Washington USA. John M. Inadomi MD Director GI Health Outcomes Research Program University of California San Francisco Division of Gastroenterology San Francisco General Hospital San Francisco California USA. Michael J. O'Brien MD Department of Pathology Boston University Medical Center Boston Massachusetts USA. David A. Lieberman MD Division of Gastroenterology Portland VA Hospital Portland Oregon USA. David F. Ransohoff MD Bioinformatics Department of Medicine University of North Carolina Chapel Hill North Carolina USA. Roy M. Soetikno MD Gastroenterology Section Veterans Affairs Palo Alto Health

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