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Transcript expression-aware annotation improves rare variant interpretation (vol 581, pg 452, 2020)

NATURE 2021年第7846期590卷 E54-E54页

作者： Cummings, Beryl B. Karczewski, Konrad J. Kosmicki, Jack A. Seaby, Eleanor G. Watts, Nicholas A. Singer-Berk, Moriel Mudge, Jonathan M. Karjalainen, Juha Satterstrom, F. Kyle O'Donnell-Luria, Anne H. Poterba, Timothy Seed, Cotton Solomonson, Matthew Alfoldi, Jessica Daly, Mark J. MacArthur, Daniel G. Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA USA Analytical and Translational Genetics Unit Massachusetts General Hospital Boston MA USA Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA Program in Bioinformatics and Integrative Genomics Harvard Medical School Boston MA USA Genomic Informatics Group University Hospital Southampton Southampton 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 European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Genome Campus Hinxton Cambridge UK Center for Genomic Medicine Massachusetts General Hospital Boston MA USA Broad Genomics Broad Institute of MIT and Harvard Cambridge 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 and Cardiovascular Research Center Massachusetts General Hospital Boston MA USA Estonian Genome Center Institute of Genomics University of Tartu Tartu Estonia Department of Medicine Harvard Medical School Boston MA USA Cardiac Arrhythmia Service Massachusetts General Hospital Boston MA USA Division of General Internal Medicine Massachusetts General Hospital Boston MA USA Institute for Molecular Medicine FIMM University of Helsinki Helsinki Finland Department of Public Health Faculty of Medicine University of Helsinki Helsinki Finland Department of Genetics Harvard Medical School Boston MA USA Data Sciences Platform Broad Institute of MIT and Harvard Cambridge MA USA Genomics Platform Broad Institute of MIT and Harvard Cambridge MA USA Wellcome Sanger Institute Hinxton Cambridgeshire UK Unidad de Investigaci

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Publisher Correction: A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex

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Nature genetics 2022年第8期54卷 1259页

作者： Danny Antaki James Guevara Adam X Maihofer Marieke Klein Madhusudan Gujral Jakob Grove Caitlin E Carey Oanh Hong Maria J Arranz Amaia Hervas Christina Corsello Keith K Vaux Alysson R Muotri Lilia M Iakoucheva Eric Courchesne Karen Pierce Joseph G Gleeson Elise B Robinson Caroline M Nievergelt Jonathan Sebat Biomedical Sciences Graduate Program University of California San Diego La Jolla CA USA. Beyster Center for Psychiatric Genomics University of California San Diego La Jolla CA USA. Department of Psychiatry University of California San Diego La Jolla CA USA. Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA. Institute for Genomic Medicine University of California San Diego La Jolla CA USA. Department of Neurosciences University of California San Diego La Jolla CA USA. Department of Biomedicine Aarhus University Aarhus Denmark. The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Aarhus Denmark. Center for Genomics and Personalized Medicine and Center for Integrative Sequencing iSEQ Aarhus Denmark. Bioinformatics Research Centre Aarhus University Aarhus Denmark. Harvard T.H. Chan School of Public Health Broad Institute of the Massachusetts Institute of Technology and Harvard Cambridge MA USA. Research Laboratory Unit Fundacio Docencia i Recerca Mutua Terrassa Spain. Child and Adolescent Mental Health Unit Hospital Universitari Mútua de Terrassa Barcelona Spain. TEACCH Autism Program University of North Carolina Chapel Hill NC USA. Human Longevity Inc. San Diego CA USA. Department of Pediatrics and Department of Cellular & Molecular Medicine University of California San Diego School of Medicine Center for Academic Research and Training in Anthropogeny Archealization Center Kavli Institute for Brain and Mind La Jolla CA USA. Autism Center of Excellence University of California San Diego La Jolla CA USA. Beyster Center for Psychiatric Genomics University of California San Diego La Jolla CA USA. jsebat@ucsd.edu. Department of Psychiatry University of California San Diego La Jolla CA USA. jsebat@ucsd.edu. Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA. jsebat@ucsd.edu. Institute for Genomic Medicine University of Californi

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Quantum computing at the frontiers of biological sciences

arXiv

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arXiv 2019年

作者： Emani, Prashant S. Warrell, Jonathan Anticevic, Alan Bekiranov, Stefan Gandal, Michael McConnell, Michael J. Sapiro, Guillermo Aspuru-Guzik, Alán Baker, Justin Bastiani, Matteo McClure, Patrick Murray, John Sotiropoulos, Stamatios N. Taylor, Jacob Senthil, Geetha Lehner, Thomas Gerstein, Mark B. Harrow, Aram W. Program in Computational Biology and Bioinformatics Yale University New HavenCT06520 United States Department of Molecular Biophysics and Biochemistry Yale University New HavenCT06520 United States Yale School of Medicine Department of Psychiatry New HavenCT06511 United States University of Virginia School of Medicine Department of Biochemistry and Molecular Genetics CharlottesvilleVA22903 United States Department of Psychiatry Semel Institute David Geffen School of Medicine University of California–Los Angeles 695 Charles E. Young Drive South Los AngelesCA90095 United States Univ. of Virginia School of Medicine Department of Neuroscience CharlottesvilleVA22903 United States Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Department of Chemistry University of Toronto 80 St. George Street TorontoONM5S 3H6 Canada TorontoONM5S 1M1 Canada CIFAR Artificial Intelligence Research Chair Vector Institute TorontoONM5S 1M1 Canada Department of Computer Science University of Toronto 40 St. George Street TorontoONM5S 2E4 Canada Schizophrenia and Bipolar Disorder Program McLean Hospital BelmontMA02478 United States Department of Psychiatry Harvard Medical School BostonMA02114 United States Sir Peter Mansfield Imaging Centre School of Medicine University of Nottingham NottinghamNG7 2RD United Kingdom Machine Learning Team National Institute of Mental Health BethesdaMD20892 United States Section on Functional Imaging Methods National Institute of Mental Health BethesdaMD20892 United States Department of Psychiatry Yale University School of Medicine New HavenCT06511 United States Department of Physics Yale University New HavenCT06511 United States Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States National Institute of Standards and Technology GaithersburgMD20899 United States Office of Genomics Research Coordination N

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems. Innovation in massively parallel, classical computing hardware and algorithms continues to address many of these challenges, but there is a need to simultaneously consider new paradigms to circumvent current barriers to processing speed. Accordingly, we articulate a view towards quantum computation and quantum information science, where algorithms have demonstrated potential polynomial and exponential computational speedups in certain applications, such as machine learning. The maturation of the field of quantum computing, in hardware and algorithm development, also coincides with the growth of several collaborative efforts to address questions across length and time scales, and scientific disciplines. We use this coincidence to explore the potential for quantum computing to aid in one such endeavor: the merging of insights from genetics, genomics, neuroimaging and behavioral phenotyping. By examining joint opportunities for computational innovation across fields, we highlight the need for a common language between biological data analysis and quantum computing. Ultimately, we consider current and future prospects for the employment of quantum computing algorithms in the biological sciences. Copyright © 2019, The Authors. All rights reserved.

关键词： Machine learning

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The evolutionary history of 2,658 cancers (vol 578, pg 122, 2020)

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NATURE 2023年第7948期614卷 E42-E42页

作者： Gerstung, Moritz Jolly, Clemency Leshchiner, Ignaty Dentro, Stefan C. Gonzalez, Santiago Rosebrock, Daniel Mitchell, Thomas J. Rubanova, Yulia Anur, Pavana Yu, Kaixian Tarabichi, Maxime Deshwar, Amit Wintersinger, Jeff Kleinheinz, Kortine Vazquez-Garcia, Ignacio Haase, Kerstin Jerman, Lara Sengupta, Subhajit Macintyre, Geoff Malikic, Salem Donmez, Nilgun Livitz, Dimitri G. Cmero, Marek Demeulemeester, Jonas Schumacher, Steven Fan, Yu Yao, Xiaotong Lee, Juhee Schlesner, Matthias Boutros, Paul C. Bowtell, David D. Zhu, Hongtu Getz, Gad Imielinski, Marcin Beroukhim, Rameen Sahinalp, S. Cenk Ji, Yuan Peifer, Martin Markowetz, Florian Mustonen, Ville Yuan, Ke Wang, Wenyi Morris, Quaid D. Spellman, Paul T. Wedge, David C. Van Loo, Peter European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Wellcome Sanger Institute Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany University of Ljubljana Ljubljana Slovenia The Francis Crick Institute London UK Big Data Institute University of Oxford Oxford UK Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Big Data Institute Li Ka Shing Centre University of Oxford Oxford UK University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Department of Applied Mathematics and Theoretical Physics Centre for Mathematical Sciences University of Cambridge Cambridge UK Department of Epidemiology and Biostatistics Memorial Sloan Kettering Cancer Center New York NY USA Department of Statistics Columbia University New York NY USA Department of Haematology University of Cambridge Cambridge UK University of Leuven Leuven Belgium Broad Institute of MIT and Harvard Cambridge MA USA Center for Cancer Research Massachusetts General Hospital Charlestown MA USA Department of Pathology Massachusetts General Hospital Boston MA USA Harvard Medical School Boston MA USA Center for Cancer Research Massachusetts General Hospital Boston MA USA Dana-Farber Cancer Institute Boston MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Oxford NIHR Biomedical Research Centre Oxford UK Oxford NIHR Biomedical Research Centre University of Oxford Oxford UK University of Toronto Toronto Ontario Canada Vector Institute Toronto Ontario Canada Vector Institute Toronto ON Canada Department of Computer Science University of Toronto Toronto ON Canada Ontario Institute for Cancer Research Toronto Ontario Canada University of California Los Angeles

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JS08.6.A A connectivity signature for glioblastoma

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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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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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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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