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JS08.6.A A connectivity signature for glioblastoma

Neuro-Oncology 2022年第SUPPLEMENT_2期24卷 ii8-ii9页

作者： Hoffmann, D C Hai, L Wagener, R Mandelbaum, H Xie, R Hausmann, D Dominguez Azorín, D Weil, S Sievers, P Cebulla, G Ito, J Warnken, U Venkataramani, V Ernst, K Reibold, D Will, R Suvà, M L Herold-Mende, C Sahm, F Winkler, F Schlesner, M Wick, W Kessler, T Clinical Cooperation Unit Neurooncology German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Department of Neurology and Neurooncology Program National Center for Tumor Diseases Heidelberg University Hospital Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Bioinformatics and Omics Data Analytics DKFZ Heidelberg Germany Department of Neuropathology Institute of Pathology University Hospital Heidelberg Heidelberg Germany Clinical Cooperation Unit Neuropathology DKTK DKFZ Heidelberg Germany Department of Neuroanatomy Institute for Anatomy and Cell Biology Heidelberg University Heidelberg Germany Hopp Children's Cancer Center at the NCT Heidelberg (KiTZ) Heidelberg Germany Division of Pediatric Neurooncology DKTK DKFZ Heidelberg Germany Genomics and Proteomics Core Facility DKTK DKFZ Heidelberg Germany Broad Institute of Harvard and MIT Cambridge MA United States Department of Pathology and Center for Cancer Research Massachusetts General Hospital and Harvard Medical School Boston MA United States Department of Neurosurgery Heidelberg University Hospital Heidelberg Germany Biomedical Informatics Data Mining and Data Analytics Faculty of Applied Computer Science and Medical Faculty University of Augsburg Augsburg Germany

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Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil (vol 13, 1004, 2022)

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NATURE COMMUNICATIONS 2022年第1期13卷 1-11页

作者： Naslavsky, Michel S. Scliar, Marilia O. Yamamoto, Guilherme L. Wang, Jaqueline Yu Ting Zverinova, Stepanka Karp, Tatiana Nunes, Kelly Ceroni, Jose Ricardo Magliocco de Carvalho, Diego Lima da Silva Simoes, Carlos Eduardo Bozoklian, Daniel Nonaka, Ricardo dos Santos Brito Silva, Nayane da Silva Souza, Andreia de Souza Andrade, Heloisa Passos, Marilia Rodrigues Silva Castro, Camila Ferreira Bannwart Mendes-Junior, Celso T. Mercuri, Rafael L. V. Miller, Thiago L. A. Buzzo, Jose Leonel Rego, Fernanda O. Araujo, Nathalia M. Magalhaes, Wagner C. S. Mingroni-Netto, Regina Celia Borda, Victor Guio, Heinner Rojas, Carlos P. Sanchez, Cesar Caceres, Omar Dean, Michael Barreto, Mauricio L. Lima-Costa, Maria Fernanda Horta, Bernardo L. Tarazona-Santos, Eduardo Meyer, Diogo Galante, Pedro A. F. Guryev, Victor Castelli, Erick C. Duarte, Yeda A. O. Passos-Bueno, Maria Rita Zatz, Mayana Human Genome and Stem Cell Research Center University of São Paulo São Paulo SP Brazil Department of Genetics and Evolutionary Biology Biosciences Institute University of São Paulo São Paulo SP Brazil Hospital Israelita Albert Einstein São Paulo SP Brazil Instituto da Criança Faculdade de Medicina da Universidade de São Paulo São Paulo SP Brazil Orthopedic Research Labs Boston Children’s Hospital and Department of Genetics Harvard Medical School Boston MA USA Laboratório DASA São Paulo Brazil Laboratory of Genome Structure and Ageing European Research Institute for the Biology of Ageing University Medical Center Groningen Groningen Netherlands São Paulo State University (UNESP) Molecular Genetics and Bioinformatics Laboratory School of Medicine Botucatu State of São Paulo Brazil São Paulo State University (UNESP) Department of Pathology School of Medicine Botucatu State of São Paulo Brazil Departamento de Química Faculdade de Filosofia Ciências e Letras de Ribeirão Preto Universidade de São Paulo Ribeirão Preto São Paulo Brazil Centro de Oncologia Molecular Hospital Sirio-Libanes São Paulo Brazil Department of Biochemistry Institute of Chemistry University of São Paulo São Paulo São Paulo Brazil Bioinformatics Graduate program University of São Paulo São Paulo Brazil Departamento de Genética Ecologia e Evolução Instituto de Ciências Biológicas Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Núcleo de Ensino e Pesquisa Instituto Mário Penna Belo Horizonte MG Brazil Mosaico Translational Genomics Initiative Universidade Federal de Minas Gerais Belo Horizonte MG 31270-901 Brazil Facultad de Salud Pública y Administración Universidad Peruana Cayetano Heredia Lima Peru Instituto de Estudos Avançados Transdisciplinares Universidade Federal de Minas Gerais Belo Horizonte MG 31270-901 Brazil Laboratorio de Biotecnologia y Biologia Molecular Instituto Nacional de Salud Lima Peru Universidad de Huánuco Huánuco Peru Division of Ca

As whole-genome sequencing (WGS) becomes the gold standard tool for studying population genomics and medical applications, data on diverse non-European and admixed individuals are still scarce. Here, we present a high-coverage WGS dataset of 1,171 highly admixed elderly Brazilians from a census-based cohort, providing over 76 million variants, of which ~2 million are absent from large public databases. WGS enables identification of ~2,000 previously undescribed mobile element insertions without previous description, nearly 5 Mb of genomic segments absent from the human genome reference, and over 140 alleles from HLA genes absent from public resources. We reclassify and curate pathogenicity assertions for nearly four hundred variants in genes associated with dominantly-inherited Mendelian disorders and calculate the incidence for selected recessive disorders, demonstrating the clinical usefulness of the present study. Finally, we observe that whole-genome and HLA imputation could be significantly improved compared to available datasets since rare variation represents the largest proportion of input from WGS. These results demonstrate that even smaller sample sizes of underrepresented populations bring relevant data for genomic studies, especially when exploring analyses allowed only by WGS.

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A structural variation reference for medical and population genetics (vol 581, pg 444, 2020)

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NATURE 2021年第7846期590卷 E55-E55页

作者： Collins, Ryan L. Brand, Harrison Karczewski, Konrad J. Zhao, Xuefang Alfoldi, Jessica Francioli, Laurent C. Khera, Amit V. Lowther, Chelsea Gauthier, Laura D. Wang, Harold Watts, Nicholas A. Solomonson, Matthew O'Donnell-Luria, Anne Baumann, Alexander Munshi, Ruchi Walker, Mark Whelan, Christopher W. Huang, Yongqing Brookings, Ted Sharpe, Ted Stone, Matthew R. Valkanas, Elise Fu, Jack Tiao, Grace Laricchia, Kristen M. Ruano-Rubio, Valentin Stevens, Christine Gupta, Namrata Cusick, Caroline Margolin, Lauren Taylor, Kent D. Lin, Henry J. Rich, Stephen S. Post, Wendy S. Chen, Yii-Der Ida Rotter, Jerome I. Nusbaum, Chad Philippakis, Anthony Lander, Eric Gabriel, Stacey Neale, Benjamin M. Kathiresan, Sekar Daly, Mark J. Banks, Eric MacArthur, Daniel G. Talkowski, Michael E. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Center for Genomic Medicine Massachusetts General Hospital Boston MA USA Division of Medical Sciences Harvard Medical School Boston MA USA Department of Neurology Massachusetts General Hospital and Harvard Medical School Boston MA USA Analytical and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Analytic and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Department of Medicine Harvard Medical School Boston MA USA Data Science Platform Broad Institute of MIT and Harvard Cambridge MA USA Broad Genomics Broad Institute of MIT and Harvard Cambridge MA USA European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Genome Campus Hinxton Cambridge UK Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA USA Division of Genetics and Genomics Boston Children’s Hospital Boston MA USA Department of Pediatrics Harvard Medical School Boston MA USA National Heart & Lung Institute and MRC London Institute of Medical Sciences Imperial College London London UK Cardiovascular Research Centre Royal Brompton & Harefield Hospitals NHS Trust London UK Cardiac Arrhythmia Service Cardiovascular Research Center Massachusetts General Hospital Boston MA USA Estonian Genome Center Institute of Genomics University of Tartu Tartu Estonia Diabetes Unit Massachusetts General Hospital Boston MA USA Program in Metabolism Broad Institute of MIT and Harvard Cambridge MA USA Division of Cardiology Massachusetts General Hospital Boston MA USA Cardiovascular Disease Initiative Broad Institute of MIT and Harvard Cambridge MA USA Division of General Internal Medicine Massachusetts General Hospital Boston MA USA Institute for Molecular Medicine Finland (FIMM) HiLIFE University of Helsinki Helsinki Finland Department of Public Health Faculty of Medicine University

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Author Correction: Large-scale transcriptome-wide association study identifies new prostate cancer risk regions

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Nature communications 2019年第1期10卷 171页

作者： Nicholas Mancuso Simon Gayther Alexander Gusev Wei Zheng Kathryn L Penney Zsofia Kote-Jarai Rosalind Eeles Matthew Freedman Christopher Haiman Bogdan Pasaniuc Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles 90095 CA USA. nmancuso@mednet.ucla.edu. The Center for Bioinformatics and Functional Genomics Cedars-Sinai Medical Center Los Angeles 90048 CA USA. Dana Farber Cancer Institute Boston 02215 MA USA. Division of Epidemiology Department of Medicine Vanderbilt Epidemiology Center Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine Nashville 37232 TN USA. Department of Epidemiology Harvard T.H. Chan School of Public Health Boston 02115 MA USA. Channing Division of Network Medicine Department of Medicine Brigham and Women's Hospital/Harvard Medical School Boston 02115 MA USA. Division of Genetics and Epidemiology The Institute of Cancer Research London SW7 3RP UK. Royal Marsden NHS Foundation Trust London SW3 6JJ UK. Department of Medical Oncology Dana-Farber Cancer Institute and Harvard Medical School Boston 02215 MA USA. Department of Preventive Medicine Norris Comprehensive Cancer Center Keck School of Medicine University of Southern California Los Angeles 90015 CA USA. Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles 90095 CA USA. Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles 90095 CA USA. Bioinformatics Interdepartmental Program University of California Los Angeles Los Angeles 90095 CA USA.

The original version of this Article contained an error in the spelling of a member of the PRACTICAL Consortium, Manuela Gago-Dominguez, which was incorrectly given as Manuela Gago Dominguez. This has now been corrected in both the PDF and HTML versions of the Article. Furthermore, In the original HTML version of this Article, the order of authors within the author list was incorrect. The consortium PRACTICAL consortium was incorrectly listed after Bogdan Pasaniuc and should have been listed after Kathryn L. Penney. This error has been corrected in the HTML version of the Article; the PDF version was correct at the time of publication.

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Erratum to: A survey of best practices for RNA-seq data analysis

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Genome biology 2016年第1期17卷 181页

作者： Ana Conesa Pedro Madrigal Sonia Tarazona David Gomez-Cabrero Alejandra Cervera Andrew McPherson Michal Wojciech Szcześniak Daniel J Gaffney Laura L Elo Xuegong Zhang Ali Mortazavi Institute for Food and Agricultural Sciences Department of Microbiology and Cell Science University of Florida Gainesville FL 32603 USA. aconesa@ufl.edu. Centro de Investigación Príncipe Felipe Genomics of Gene Expression Laboratory 46012 Valencia Spain. aconesa@ufl.edu. Wellcome Trust Sanger Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SA UK. pm12@sanger.ac.uk. Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute Anne McLaren Laboratory for Regenerative Medicine Department of Surgery University of Cambridge Cambridge CB2 0SZ UK. pm12@sanger.ac.uk. Centro de Investigación Príncipe Felipe Genomics of Gene Expression Laboratory 46012 Valencia Spain. Department of Applied Statistics Operations Research and Quality Universidad Politécnica de Valencia 46020 Valencia Spain. Unit of Computational Medicine Department of Medicine Karolinska Institutet Karolinska University Hospital 171 77 Stockholm Sweden. Center for Molecular Medicine Karolinska Institutet 17177 Stockholm Sweden. Unit of Clinical Epidemiology Department of Medicine Karolinska University Hospital L8 17176 Stockholm Sweden. Science for Life Laboratory 17121 Solna Sweden. Systems Biology Laboratory Institute of Biomedicine and Genome-Scale Biology Research Program University of Helsinki 00014 Helsinki Finland. School of Computing Science Simon Fraser University Burnaby V5A 1S6BC Canada. Department of Bioinformatics Institute of Molecular Biology and Biotechnology Adam Mickiewicz University in Poznań 61-614 Poznań Poland. Wellcome Trust Sanger Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SA UK. Turku Centre for Biotechnology University of Turku and Åbo Akademi University FI-20520 Turku Finland. Key Lab of Bioinformatics/Bioinformatics Division TNLIST and Department of Automation Tsinghua University Beijing 100084 China. School of Life Sciences Tsinghua University Beijing 100084 China. Department of Developmental and Cell Biolo

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Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information (vol 91, pg 626, 2022)

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BIOLOGICAL PSYCHIATRY 2022年第7期91卷 690-690页

作者： Maihofer, Adam X. Vinkers, Christiaan H. Department of Psychiatry University of California San Diego La Jolla California Department of Family Medicine and Public Health University of California San Diego La Jolla California Center of Excellence for Stress and Mental Health Veterans Affairs Healthcare System San Diego California Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts Department of Psychiatry Massachusetts General Hospital Boston Massachusetts Department of Health Care Policy Harvard Medical School Boston Massachusetts GenOmics Bioinformatics and Translational Research Center RTI International Research Triangle Park North Carolina School of Nursing University of Michigan Ann Arbor Michigan Social Genetic and Developmental Psychiatry Centre Institute of Psychiatry Psychology and Neuroscience King’s College London London United Kingdom Biomedical Genetics Section Boston University School of Medicine Boston Massachusetts Fellows Program RTI International Research Triangle Park North Carolina Department of Women’s and Gender Studies University of Michigan Ann Arbor Michigan National Institute of Health Research Maudsley Biomedical Research Centre King’s College London London United Kingdom Department of Psychiatry Harvard Medical School Boston Massachusetts Department of Epidemiology and Health Sciences Naval Health Research Center San Diego California Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge Massachusetts Department of Psychiatry and Behavioral Sciences Stanford University Stanford California Center of Excellence in Depression and Anxiety Disorders Belmont Massachusetts Research Service Veterans Affairs Healthcare System San Diego California Department of Environmental Health Harvard T.H. Chan School of Public Health Boston Massachusetts Duke Molecular Physiology Institute Duke University School of Medicine Durham North Carolina Department of Neurology Boston University School of Medicine Boston

AbstractBackgroundPosttraumatic stress disorder (PTSD) is heritable and a potential consequence of exposure to traumatic stress. Evidence suggests that a quantitative approach to PTSD phenotype measurement and incorporation of lifetime trauma exposure (LTE) information could enhance the discovery power of PTSD genome-wide association studies (GWASs). MethodsA GWAS on PTSD symptoms was performed in 51 cohorts followed by a fixed-effects meta-analysis ( N = 182,199 European ancestry participants). A GWAS of LTE burden was performed in the UK Biobank cohort ( N = 132,988). Genetic correlations were evaluated with linkage disequilibrium score regression. Multivariate analysis was performed using Multi-Trait Analysis of GWAS. Functional mapping and annotation of leading loci was performed with FUMA. Replication was evaluated using the Million Veteran program GWAS of PTSD total symptoms. ResultsGWASs of PTSD symptoms and LTE burden identified 5 and 6 independent genome-wide significant loci, respectively. There was a 72% genetic correlation between PTSD and LTE. PTSD and LTE showed largely similar patterns of genetic correlation with other traits, albeit with some distinctions. Adjusting PTSD for LTE reduced PTSD heritability by 31%. Multivariate analysis of PTSD and LTE increased the effective sample size of the PTSD GWAS by 20% and identified 4 additional loci. Four of these 9 PTSD loci were independently replicated in the Million Veteran program. ConclusionsThrough using a quantitative trait measure of PTSD, we identified novel risk loci not previously identified using prior case-control analyses. PTSD and LTE have a high genetic overlap that can be leveraged to increase discovery power through multivariate methods.

关键词： Genetics GWAS Heritability PheWAS PTSD Trauma

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Suppression of the human malic enzyme 2 modifies energy metabolism and inhibits cellular respiration

Communications biology

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Communications biology 2023年第1期6卷 548页

作者： Ju-Yi Hsieh Kun-Chi Chen Chun-Hsiung Wang Guang-Yaw Liu Jie-An Ye Yu-Tung Chou Yi-Chun Lin Cheng-Jhe Lyu Rui-Ying Chang Yi-Liang Liu Yen-Hsien Li Mau-Rong Lee Meng-Chiao Ho Hui-Chih Hung Department of Life Sciences National Chung Hsing University Taichung 402 Taiwan ROC. Ph.D. Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University Taichung 402 Taiwan ROC. Institute of Biological Chemistry Academia Sinica Taipei 115 Taiwan ROC. Institute of Medicine College of Medicine Chung Shan Medical University Taichung 402 Taiwan ROC. Instrument Center Office of Research and Development National Chung Hsing University Taichung 40227 Taiwan ROC. Department of Chemistry National Chung Hsing University Taichung 402 Taiwan ROC. Institute of Biological Chemistry Academia Sinica Taipei 115 Taiwan ROC. joeho@gate.sinica.edu.tw. Institute of Biochemical Sciences National Taiwan University Taipei 106 Taiwan ROC. joeho@gate.sinica.edu.tw. Department of Life Sciences National Chung Hsing University Taichung 402 Taiwan ROC. hchung@dragon.nchu.edu.tw. Ph.D. Program in Tissue Engineering and Regenerative Medicine National Chung Hsing University Taichung 402 Taiwan ROC. hchung@dragon.nchu.edu.tw. Institute of Genomics and Bioinformatics National Chung Hsing University Taichung 402 Taiwan ROC. hchung@dragon.nchu.edu.tw. Advanced Plant and Food Crop Biotechnology Center National Chung Hsing University Taichung 402 Taiwan ROC. hchung@dragon.nchu.edu.tw.

Human mitochondrial NAD(P)-dependent malic enzyme (ME2) is well-known for its role in cell metabolism, which may be involved in cancer or epilepsy. We present potent ME2 inhibitors based on cyro-EM structures that target ME2 enzyme activity. Two structures of ME2-inhibitor complexes demonstrate that 5,5'-Methylenedisalicylic acid (MDSA) and embonic acid (EA) bind allosterically to ME2's fumarate-binding site. Mutagenesis studies demonstrate that Asn35 and the Gln64-Tyr562 network are required for both inhibitors' binding. ME2 overexpression increases pyruvate and NADH production while decreasing the cell's NAD/NADH ratio; however, ME2 knockdown has the opposite effect. MDSA and EA inhibit pyruvate synthesis and thus increase the NAD/NADH ratio, implying that these two inhibitors interfere with metabolic changes by inhibiting cellular ME2 activity. ME2 silence or inhibiting ME2 activity with MDSA or EA decreases cellular respiration and ATP synthesis. Our findings suggest that ME2 is crucial for mitochondrial pyruvate and energy metabolism, as well as cellular respiration, and that ME2 inhibitors could be useful in the treatment of cancer or other diseases that involve these processes.

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An open science study of ageing in companion dogs (vol 602, g 51, 2022)

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NATURE 2022年第7924期608卷 E33-E33页

作者： Creevy, Kate E. Akey, Joshua M. Kaeberlein, Matt Promislow, Daniel E. L. Department of Small Animal Clinical Sciences Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton NJ USA Department of Laboratory Medicine and Pathology University of Washington School of Medicine Seattle WA USA Department of Biology University of Washington Seattle WA USA Institute for Stem Cell and Regenerative Medicine University of Washington Seattle WA USA Department of Clinical Microbiology and Immunology Sackler Faculty of Medicine Tel Aviv University Tel Aviv Israel Blavatnik School of Computer Science Tel Aviv University Tel Aviv Israel Santa Fe Institute Santa Fe NM USA Cornell Veterinary Biobank College of Veterinary Medicine Cornell University Ithaca NY USA Department of Sociology University of Washington Seattle WA USA Center for Studies in Demography and Ecology Seattle WA USA Department of Small Animal Medicine and Surgery University of Georgia College of Veterinary Medicine Athens GA USA Department of Veterinary Physiology and Pharmacology Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Department of Family Medicine University of Washington Seattle WA USA Department of Epidemiology University of Washington Seattle WA USA Department of Global Health University of Washington Seattle WA USA Epidemiology Program Fred Hutchinson Cancer Research Center Seattle WA USA Department of Veterinary Pathobiology Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Bioinformatics and Integrative Biology University of Massachusetts Chan Medical School Worcester MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Biostatistics University of Washington Seattle WA USA Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle WA USA Department of Population Health Sciences Vir

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Author Correction: Lipid exposure activates gene expression changes associated with estrogen receptor negative breast cancer

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NPJ breast cancer 2023年第1期9卷 11页

作者： Shivangi Yadav Ranya Virk Carolina H Chung Mariana Bustamante Eduardo David VanDerway Duojiao Chen Kirsten Burdett Hongyu Gao Zexian Zeng Manish Ranjan Gannon Cottone Xiaoling Xuei Sriram Chandrasekaran Vadim Backman Robert Chatterton Seema Ahsan Khan Susan E Clare Department of Surgery Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. Department of Biomedical Engineering Northwestern University Evanston IL 60208-2850 USA. Department of Biomedical Engineering University of Michigan Ann Arbor MI 48109 USA. Center of for Medical Genomics Indiana University School of Medicine Indianapolis IN 46202 USA. Department of Preventive Medicine Northwestern University Chicago IL 60611 USA. Department of Data Sciences Dana Farber Cancer Institute Harvard T.H. Chan School of Public Health Boston MA 02215 USA. Program in Chemical Biology University of Michigan Ann Arbor MI 48109 USA. Rogel Cancer Center University of Michigan Medical School Ann Arbor MI 48109 USA. Center for Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI 48109 USA. Department of Obstetrics and Gynecology Northwestern University Feinberg School of Medicine Chicago IL 60611 USA. Department of Surgery Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. s-khan2@northwestern.edu. Department of Surgery Feinberg School of Medicine Northwestern University Chicago IL 60611 USA. susan.clare@northwestern.edu.

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Publisher Correction: Comprehensive molecular characterization of mitochondrial genomes in human cancers

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Nature genetics 2023年第5期55卷 893页

作者： Yuan Yuan Young Seok Ju Youngwook Kim Jun Li Yumeng Wang Christopher J Yoon Yang Yang Inigo Martincorena Chad J Creighton John N Weinstein Yanxun Xu Leng Han Hyung-Lae Kim Hidewaki Nakagawa Keunchil Park Peter J Campbell Han Liang Department of Bioinformatics and Computational Biology The University of Texas MD Anderson Cancer Center Houston TX USA. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK. Graduate School of Medical Science and Engineering Korea Advanced Institute of Science and Technology Daejeon Korea. Department of Health Science and Technology Samsung Advanced Institute for Health Science and Technology Sungkyunkwan University School of Medicine Seoul Korea. Quantitative and Computational Biosciences Graduate Program Baylor College of Medicine Houston TX USA. Division of Biostatistics The University of Texas Health Science Center at Houston School of Public Health Houston TX USA. Department of Medicine and Dan L. Duncan Cancer Center Division of Biostatistics Baylor College of Medicine Houston TX USA. Department of Systems Biology The University of Texas MD Anderson Cancer Center Houston TX USA. Department of Applied Mathematics and Statistics Johns Hopkins University Baltimore MD USA. Department of Biochemistry and Molecular Biology The University of Texas Health Science Center at Houston McGovern Medical School Houston TX USA. Department of Biochemistry Ewha Womans University School of Medicine Seoul Korea. Laboratory for Cancer Genomics RIKEN Center for Integrative Medical Sciences Yokohama Japan. Division of Hematology/Oncology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea. kpark@skku.edu. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK. pc8@sanger.ac.uk. Cambridge University Hospitals NHS Foundation Trust Cambridge UK. pc8@sanger.ac.uk. Department of Bioinformatics and Computational Biology The University of Texas MD Anderson Cancer Center Houston TX USA. hliang1@***. Quantitative and Computational Biosciences Graduate Program Baylor College of Medicine Houston TX USA. hliang1@***. Department of Systems Biology The University of Texas MD Anderson Cancer Center Houston TX USA. hliang1@mdanderson

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