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Data Processing Approach for Localizing Bio‐magnetic Sources in the Brain

AIP Conference Proceedings 2007年第1期922卷 701-704页

作者： Hung‐I Pai Chih‐Yuan Tseng H. C. Lee 1Computational Biology Laboratory Department of Physics National Central University Jhongli Taiwan 320 2Graduate Institute of Systems Biology and Bioinformatics National Central University Jhongli Taiwan 320

Magnetoencephalography (MEG) provides dynamic spatial‐temporal insight for neural activities in the cortex. Because the possible number of sources is far greater than the number of MEG detectors, the proposition to localize sources directly from MEG data is ill‐posed. Here we develop a novel approach based on a sequence of data processing procedures that includes a clustering process, an intersection analysis, and an application of the maximum entropy method. We examine the performance of our method and compare it with the minimum‐norm least‐square inverse method using an artificial noisy MEG data.

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Integration of Protein Structure and Population-Scale DNA Sequence Data for Disease Gene Discovery and Variant Interpretation

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Biomedical Data Science 1000年第1期5卷 141-161页

作者： Bian Li Bowen Jin John A. Capra William S. Bush 1Department of Biological Sciences and Center for Structural Biology Vanderbilt University Nashville Tennessee USA 2Graduate Program in Systems Biology and Bioinformatics Department of Nutrition School of Medicine Case Western Reserve University Cleveland Ohio USA 3Bakar Computational Health Sciences Institute and Department of Epidemiology and Biostatistics University of California San Francisco California USA email: tony@*** 4Cleveland Institute for Computational Biology Department of Population and Quantitative Health Sciences Case Western Reserve University Cleveland Ohio USA email: wsb36@case.edu

The experimental and computational techniques for capturing information about protein structures and genetic variation within the human genome have advanced dramatically in the past 20 years, generating extensive new data resources. In this review, we discuss these advances, along with new approaches for determining the impact a genetic variant has on protein function. We focus on the potential of new methods that integrate human genetic variation into protein structures to discover relationships to disease, including the discovery of mutational hotspots in cancer-related proteins, the localization of protein-altering variants within protein regions for common complex diseases, and the assessment of variants of unknown significance for Mendelian traits. We expect that approaches that integratethese data sources will play increasingly important roles in disease gene discovery and variant interpretation.

关键词： protein 3D structure population genetics variant interpretation disease gene discovery data integration

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SpliceAPP: an interactive web server to predict splicing errors arising from human mutations

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BMC genomics 2024年第1期25卷 600页

作者： Ang-Chu Huang Jia-Ying Su Yu-Jen Hung Hung-Lun Chiang Yi-Ting Chen Yen-Tsung Huang Chen-Hsin Albert Yu Hsin-Nan Lin Chien-Ling Lin Institute of Molecular Biology Academia Sinica No. 128 Sec. 2 Academia Road Nangang District Taipei City 115014 Taiwan. Genome and Systems Biology Degree Program Academia Sinica and National Taiwan University Taipei Taiwan. Institute of Statistical Science Academia Sinica Taipei Taiwan. Bioinformatics Program International Graduate Program Academia Sinica Taipei Taiwan. Institute of Biomedical Informatics National Yang Ming Chiao Tung University Taipei Taiwan. Institute of Molecular Biology Academia Sinica No. 128 Sec. 2 Academia Road Nangang District Taipei City 115014 Taiwan. arith@gate.sinica.edu.tw. Institute of Molecular Biology Academia Sinica No. 128 Sec. 2 Academia Road Nangang District Taipei City 115014 Taiwan. mbcllin@gate.sinica.edu.tw. Genome and Systems Biology Degree Program Academia Sinica and National Taiwan University Taipei Taiwan. mbcllin@gate.sinica.edu.tw. Bioinformatics Program International Graduate Program Academia Sinica Taipei Taiwan. mbcllin@gate.sinica.edu.tw.

BACKGROUND:Splicing variants are a major class of pathogenic mutations, with their severity equivalent to nonsense mutations. However, redundant and degenerate splicing signals hinder functional assessments of sequence variations within introns, particularly at branch sites. We have established a massively parallel splicing assay to assess the impact on splicing of 11,191 disease-relevant variants. Based on the experimental results, we then applied regression-based methods to identify factors determining splicing decisions and their respective weights. RESULTS:Our statistical modeling is highly sensitive, accurately annotating the splicing defects of near-exon intronic variants, outperforming state-of-the-art predictive tools. We have incorporated the algorithm and branchpoint information into a web-based tool, SpliceAPP, to provide an interactive application. This user-friendly website allows users to upload any genetic variants with genome coordinates (e.g., chr15 74,687,208 A G), and the tool will output predictions for splicing error scores and evaluate the impact on nearby splice sites. Additionally, users can query branch site information within the region of interest. CONCLUSIONS:In summary, SpliceAPP represents a pioneering approach to screening pathogenic intronic variants, contributing to the development of precision medicine. It also facilitates the annotation of splicing motifs. SpliceAPP is freely accessible using the link https://***/SpliceAPP . Source code can be downloaded at https://***/hsinnan75/SpliceAPP .

关键词： Human mutations LASSO regression RNA splicing Splicing variant prediction

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Persistence and dynamic structures of diverse cephalosporinase genes in nontyphoidal Salmonella in cross-sectional surveillance in Taiwan

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International Journal of Antimicrobial Agents 2023年第4期62卷 106944-106944页

作者： Lee, Yuarn-Jang Chang, Yu-Chu Lee, I-Hui Ho, Kuo-Hao Fang, Shiuh-Bin Lauderdale, Tsai-Ling Chen, Ting-Wen Chen, Ku-Chung Huang, Chih-Hung Huang, Tzu-Wen Division of Infectious Diseases Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan Division of Infectious Diseases Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan International Ph.D. Program for Cell Therapy and Regeneration Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Microbiology and Immunology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei Taiwan Division of Pediatric Gastroenterology and Hepatology Department of Pediatrics Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan Department of Medical Research Shuang Ho Hospital Taipei Medical University New Taipei City Taiwan Department of Pediatrics School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Master Program in Clinical Pharmacogenomics and Pharmacoproteomics College of Pharmacy Taipei Medical University Taipei Taiwan National Institute of Infectious Diseases and Vaccinology National Health Research Institutes Zhunan Taiwan Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Chemical Engineering and Biotechnology Institute of Chemical Engineering National Taipei University of Technology Taipei Taiwan

Objectives: Nontyphoidal Salmonella (NTS) is a major foodborne pathogen causing from acute gastroenteritis to bacteraemia, particularly in paediatric and elderly patients. Antimicrobial resistance of NTS, especially resistance to extended-spectrum cephalosporins, has emerged over the past decades. Methods: Thirteen NTS isolates resistant to ceftriaxone or cefotaxime were collected from a teaching hospital in Taipei, and another three from a tertiary hospital, in New Taipei City, Taiwan, from September 2018 to December 2019. Ten other archived isolates from 2000 to 2017 were also obtained. Complete genomes of the 26 isolates were obtained. Serovars, sequence types, resistomes, genetic relatedness, and sequence comparison of plasmids were analyzed. Results: Serogroups B, C2 and E were significantly associated with ampicillin resistance. Over 90% of these 26 isolates are susceptible to carbapenems and colistin. Genomic epidemiology of these isolates shows that bla_CMY-2-harbouring isolates in different serovars were prevalent over two decades, presumably resulting from highly mobile IncI1 plasmid harbouring bla_CMY-2. One type of the IncI1 plasmids contained a mobile element, IS26, which might be involved in the acquisition of antimicrobial resistance genes. Two emerging serovars, S. Goldcoast ST358 harbouring bla_CTX-M-55 on IncHI2 plasmids and S. Anatum ST64 harbouring bla_DHA-1 on IncA/C₂ plasmids persisted in Taiwan, possibly through the clonal spread. Integration of complete or partial plasmid sequences into host chromosomes or multiplications of the antimicrobial resistance genes also appears to be mediated by IS26, in the two emerging clones. Conclusion: The dynamic movement of cephalosporinase genes mediated by IS26 in NTS is of great concern. © 2023 The Authors

关键词： Amplification Chromosome integration Epidemiology Foodborne pathogen Insertion sequence Whole-genome sequencing

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Genome wide conditional mouse knockout resources

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Drug Discovery Today: Disease Models 2016年 20卷 3-12页

作者： Kaloff, C. Anastassiadis, K. Ayadi, A. Baldock, R. Beig, J. Birling, M.-C. Bradley, A. Brown, S.D.M. Bürger, A. Bushell, W. Chiani, F. Collins, F.S. Doe, B. Eppig, J.T. Finnell, R.H. Fletcher, C. Flicek, P. Fray, M. Friedel, R.H. Gambadoro, A. Gates, H. Hansen, J. Herault, Y. Hicks, G.G. Hörlein, A. Hrabé de Angelis, M. Iyer, V. de Jong, P.J. Koscielny, G. Kühn, R. Liu, P. Lloyd, K.C.K. Lopez, R.G. Marschall, S. Martínez, S. McKerlie, C. Meehan, T. von Melchner, H. Moore, M. Murray, S.A. Nagy, A. Nutter, L.M.J. Pavlovic, G. Pombero, A. Prosser, H. Ramirez-Solis, R. Ringwald, M. Rosen, B. Rosenthal, N. Rossant, J. Ruiz Noppinger, P. Ryder, E. Skarnes, W.C. Schick, J. Schnütgen, F. Schofield, P. Seisenberger, C. Selloum, M. Smedley, D. Simpson, E.M. Stewart, A.F. Teboul, L. Tocchini Valentini, G.P. Valenzuela, D. West, A.P. Wurst, W. Institute of Developmental Genetics Helmholtz Zentrum Muenchen Neuherberg D-85764 Germany Biotechnology Center (BIOTEC) of the Technische Universität Dresden Dresden 01307 Germany CELPHEDIA PHENOMIN Institut Clinique de la Souris (ICS) CNRS INSERM University of Strasbourg 1 rue Laurent Fries Illkirch-Graffenstaden F-67404 France MRC Human Genetics Unit Institute of Genetics and Molecular Medicine University of Edinburgh College of Medicine and Veterinary Medicine Edinburgh EH4 2XU Scotland United Kingdom The Wellcome Trust Sanger Institute Wellcome Trust Genome Campus Hinxton Cambridge CB101HH United Kingdom Mammalian Genetics Unit and Mary Lyon Centre MRC Harwell Harwell Science and Innovation Campus Oxfordshire OX110RD United Kingdom Monterotondo Mouse Clinic Italian National Research Council (CNR) Institute of Cell Biology and Neurobiology Monterotondo-Scalo Rome I-00015 Italy National Human Genome Research Institute National Institutes of Health Bethesda 20892 MD United States The Jackson Laboratory Bar Harbor 04609 ME United States Dell Pediatric Research Institute The University of Texas at Austin Austin 78712 TX United States University of Texas at Austin Austin 78712 TX United States National Institutes of Health Bethesda 20205 MD United States European Bioinformatics Institute (EBI) Hinxton Cambridge CB101ST United Kingdom Fishberg Department of Neuroscience Friedman Brain Institute Icahn School of Medicine at Mount Sinai New York 10029 New York United States Institut de Génétique et de Biologie Moléculaire et Cellulaire Université de Strasbourg 1 rue Laurent Fries Illkirch 67404 France Centre National de la Recherche Scientifique UMR7104 Illkirch France Institut National de la Santé et de la Recherche Médicale U964 Illkirch France Université de Strasbourg 1 rue Laurent Fries Illkirch 67404 France University of Manitoba Manitoba Institute of Cell Biology Winnipeg R3EOV9 MB Canada Institute of Epidemiology II Helmh

The International Knockout Mouse Consortium (IKMC) developed high throughput gene trapping and gene targeting pipelines that produced mostly conditional mutations of more than 18,500 genes in C57BL/6N mouse embryonic stem (ES) cells which have been archived and are freely available to the research community as a frozen resource. From this unprecedented resource more than 6000 mutant mouse strains have been generated by the IKMC in collaboration with the International Mouse Phenotyping Consortium (IMPC). In addition, a cre-driver resource was established including 250 C57BL/6 cre-inducible mouse strains. Complementing the cre-driver resource, a collection comprising 27 rAAVs expressing cre in a tissue-specific manner has also been produced. All resources are easily accessible from the IKMC/IMPC web portal (***). The IKMC/IMPC resource is a standardized reference library of mouse models with defined genetic backgrounds enabling the analysis of gene-disease associations in mice of different genetic makeup and should therefore have a major impact on biomedical research. © 2017 Elsevier Ltd

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Author Correction: Genomic footprints of activated telomere maintenance mechanisms in cancer (Dec, 10.1038/s41467-019-13824-9, 2022)

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

作者： Sieverling, Lina Hong, Chen Koser, Sandra D. Ginsbach, Philip Kleinheinz, Kortine Hutter, Barbara Braun, Delia M. Cortes-Ciriano, Isidro Xi, Ruibin Kabbe, Rolf Park, Peter J. Eils, Roland Schlesner, Matthias Brors, Benedikt Rippe, Karsten Jones, David T. W. Feuerbach, Lars Division of Applied Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Faculty of Biosciences Heidelberg University 69120 Heidelberg Germany Division of Applied Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Faculty of Biosciences Heidelberg University Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) 69120 Heidelberg Germany Department for Bioinformatics and Functional Genomics Institute for Pharmacy and Molecular Biotechnology (IPMB) and BioQuant 69120 Heidelberg Germany Division of Theoretical Bioinformatics German Cancer Research Center (DKFZ) Heidelberg Germany Institute of Pharmacy and Molecular Biotechnology and BioQuant Heidelberg University Heidelberg Germany German Cancer Consortium (DKTK) Heidelberg Germany National Center for Tumor Diseases (NCT) Heidelberg Heidelberg Germany Heidelberg Center for Personalized Oncology (DKFZ-HIPO) German Cancer Research Center (DKFZ) Heidelberg Germany German Cancer Consortium (DKTK) German Cancer Research Center (DKFZ) Heidelberg Germany Division of Chromatin Networks German Cancer Research Center (DKFZ) and BioQuant 69120 Heidelberg Germany Department of Biomedical Informatics Harvard Medical School Boston Massachusetts 02115 USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge CB2 1EW UK Ludwig Center at Harvard Medical School Boston Massachusetts 02115 USA Department of Biomedical Informatics Harvard Medical School Boston MA USA Department of Chemistry Centre for Molecular Science Informatics University of Cambridge Cambridge UK Ludwig Center at Harvard Medical School Boston MA USA School of Mathematical Sciences and Center for Statistical Science Peking University Beijing 100871 China Heidelberg University Heidelberg Germany New BIH Digital Health Center Berlin Institute of Health (BIH) and Charité - Universitätsmedizin Berlin Berlin Germany Bioi

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Gene expression imputation across multiple brain regions provides insights into schizophrenia risk (vol 51, pg 659, 2019)

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NATURE GENETICS 2019年第6期51卷 1068-1068页

作者： Huckins, Laura M. Dobbyn, Amanda Ruderfer, Douglas M. Hoffman, Gabriel Wang, Weiqing Pardinas, Antonio F. Rajagopal, Veera M. Als, Thomas D. Nguyen, Hoang T. Girdhar, Kiran Boocock, James Roussos, Panos Fromer, Menachem Kramer, Robin Domenici, Enrico Gamazon, Eric R. Purcell, Shaun Demontis, Ditte Borglum, Anders D. Walters, James T. R. O'Donovan, Michael C. Sullivan, Patrick Owen, Michael J. Devlin, Bernie Sieberts, Solveig K. Cox, Nancy J. Im, Hae Kyung Sklar, Pamela Stahl, Eli A. Pamela Sklar Division of Psychiatric Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Genetics and Genomics Icahn School of Medicine at Mount Sinai New York NY USA Department of Psychiatry Icahn School of Medicine at Mount Sinai New York NY USA Icahn Institute for Genomics and Multiscale Biology Icahn School of Medicine at Mount Sinai New York NY USA Vanderbilt University Medical Center Nashville TN USA MRC Centre for Neuropsychiatric Genetics and Genomics Cardiff University Cardiff UK Department of Biomedicine Aarhus University Aarhus Denmark The Lundbeck Foundation Initiative for Integrative Psychiatric Research iPSYCH Denmark Center for Integrative Sequencing Aarhus University Aarhus Denmark Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA Human Brain Collection Core National Institute of Mental Health Bethesda MD USA Laboratory of Neurogenomic Biomarkers Centre for Integrative Biology (CIBIO) University of Trento Trento Italy Clare Hall University of Cambridge Cambridge UK University of North Carolina at Chapel Hill Chapel Hill NC USA Karolinska Institutet Stockholm Sweden Department of Psychiatry University of Pittsburgh Pittsburgh PA USA Systems Biology Sage Bionetworks Seattle WA USA Section of Genetic Medicine Department of Medicine University of Chicago Chicago IL USA Integrated Technology Research Laboratories Pharmaceutical Research Division Takeda Pharmaceutical Company Limited Fujisawa Japan Neuropsychiatry Section Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Neuropsychiatric Signaling Program Department of Psychiatry Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Psychiatry JJ Peters Virginia Medical Center Bronx NY USA Department of Neuroscience Icahn School of Medicine at Mount Sinai New York New York NY USA Friedman Brain Institute

Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression.

关键词： Gene expression Genome-wide association studies Schizophrenia Transcriptomics

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Stroke genetics informs drug discovery and risk prediction across ancestries (vol 611, pg 115, 2022)

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NATURE 2022年第7938期612卷 E7-E7页

作者： Mishra, Aniket Malik, Rainer Hachiya, Tsuyoshi Jurgenson, Tuuli Namba, Shinichi Posner, Daniel C. Kamanu, Frederick K. Koido, Masaru Le Grand, Quentin Shi, Mingyang He, Yunye Georgakis, Marios K. Caro, Ilana Krebs, Kristi Liaw, Yi-Ching Vaura, Felix C. Lin, Kuang Winsvold, Bendik Slagsvold Srinivasasainagendra, Vinodh Parodi, Livia Bae, Hee-Joon Chauhan, Ganesh Chong, Michael R. Tomppo, Liisa Akinyemi, Rufus Roshchupkin, Gennady V. Habib, Naomi Jee, Yon Ho Thomassen, Jesper Qvist Abedi, Vida Carcel-Marquez, Jara Nygaard, Marianne Leonard, Hampton L. Yang, Chaojie Yonova-Doing, Ekaterina Knol, Maria J. Lewis, Adam J. Judy, Renae L. Ago, Tetsuro Amouyel, Philippe Armstrong, Nicole D. Bakker, Mark K. Bartz, Traci M. Bennett, David A. Bis, Joshua C. Bordes, Constance Borte, Sigrid Cain, Anael Ridker, Paul M. Cho, Kelly Chen, Zhengming Cruchaga, Carlos Cole, John W. de Jager, Phil L. de Cid, Rafael Endres, Matthias Ferreira, Leslie E. Geerlings, Mirjam I. Gasca, Natalie C. Gudnason, Vilmundur Hata, Jun He, Jing Heath, Alicia K. Ho, Yuk-Lam Havulinna, Aki S. Hopewell, Jemma C. Hyacinth, I. Hyacinth Inouye, Michael Jacob, Mina A. Jeon, Christina E. Jern, Christina Kamouchi, Masahiro Keene, Keith L. Kitazono, Takanari Kittner, Steven J. Konuma, Takahiro Kumar, Amit Lacaze, Paul Launer, Lenore J. Lee, Keon-Joo Lepik, Kaido Li, Jiang Li, Liming Manichaikul, Ani Markus, Hugh S. Marston, Nicholas A. Meitinger, Thomas Mitchell, Braxton D. Montellano, Felipe A. Morisaki, Takayuki Mosley, Thomas H. Nalls, Mike A. Nordestgaard, Borge G. O'Donnell, Martin J. Okada, Yukinori Onland-Moret, N. Charlotte Ovbiagele, Bruce Peters, Annette Psaty, Bruce M. Rich, Stephen S. Rosand, Jonathan Sabatine, Marc S. Sacco, Ralph L. Saleheen, Danish Sandset, Else Charlotte Salomaa, Veikko Sargurupremraj, Muralidharan Sasaki, Makoto Satizabal, Claudia L. Schmidt, Carsten O. Shimizu, Atsushi Smith, Nicholas L. Sloane, Kelly L. Sutoh, Yoichi Sun, Yan V. Tanno, Kozo Tiedt, Steffen Tatlisumak, Turgut Torres-Aguila, Nuria P. Tiwari, Hemant K. Tregouet, Bordeaux Population Health Research Center University of Bordeaux Inserm UMR 1219 Bordeaux France Department of Public Health Bordeaux University Hospital Bordeaux France Department of Neurology Memory Clinic Bordeaux University Hospital Bordeaux France Department of Neurology Institute for Neurodegenerative Diseases CHU de Bordeaux Bordeaux France Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Munich Germany Center for Genomic Medicine Massachusetts General Hospital Boston MA USA Program in Medical and Population Genetics Broad Institute of Harvard and the Massachusetts Institute of Technology Cambridge MA USA Munich Cluster for Systems Neurology Munich Germany German Center for Neurodegenerative Diseases (DZNE) Munich Germany Iwate Tohoku Medical Megabank Organization Iwate Medical University Iwate Japan Estonian Genome Centre Institute of Genomics University of Tartu Tartu Estonia Institute of Mathematics and Statistics University of Tartu Tartu Estonia Department of Computational Biology University of Lausanne Lausanne Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland University Center for Primary Care and Public Health Lausanne Switzerland Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan Department of Genome Informatics Graduate School of Medicine The University of Tokyo Tokyo Japan Laboratory for Systems Genetics RIKEN Center for Integrative Medical Sciences Yokohama Japan Laboratory of Statistical Immunology Immunology Frontier Research Center (WPI-IFReC) Osaka University Suita Japan Integrated Frontier Research for Medical Science Division Institute for Open and Transdisciplinary Research Initiatives Osaka University Suita Japan Center for Infectious Disease Education and Research (CiDER) Osaka University Suita Japan Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA TIMI S

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Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

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Nature communications 2017年第1期8卷 1414页

作者： M Carola Zillikens Serkalem Demissie Yi-Hsiang Hsu Laura M Yerges-Armstrong Wen-Chi Chou Lisette Stolk Gregory Livshits Linda Broer Toby Johnson Daniel L Koller Zoltán Kutalik Jian'an Luan Ida Malkin Janina S Ried Albert V Smith Gudmar Thorleifsson Liesbeth Vandenput Jing Hua Zhao Weihua Zhang Ali Aghdassi Kristina Åkesson Najaf Amin Leslie J Baier Inês Barroso David A Bennett Lars Bertram Rainer Biffar Murielle Bochud Michael Boehnke Ingrid B Borecki Aron S Buchman Liisa Byberg Harry Campbell Natalia Campos Obanda Jane A Cauley Peggy M Cawthon Henna Cederberg Zhao Chen Nam H Cho Hyung Jin Choi Melina Claussnitzer Francis Collins Steven R Cummings Philip L De Jager Ilja Demuth Rosalie A M Dhonukshe-Rutten Luda Diatchenko Gudny Eiriksdottir Anke W Enneman Mike Erdos Johan G Eriksson Joel Eriksson Karol Estrada Daniel S Evans Mary F Feitosa Mao Fu Melissa Garcia Christian Gieger Thomas Girke Nicole L Glazer Harald Grallert Jagvir Grewal Bok-Ghee Han Robert L Hanson Caroline Hayward Albert Hofman Eric P Hoffman Georg Homuth Wen-Chi Hsueh Monica J Hubal Alan Hubbard Kim M Huffman Lise B Husted Thomas Illig Erik Ingelsson Till Ittermann John-Olov Jansson Joanne M Jordan Antti Jula Magnus Karlsson Kay-Tee Khaw Tuomas O Kilpeläinen Norman Klopp Jacqueline S L Kloth Heikki A Koistinen William E Kraus Stephen Kritchevsky Teemu Kuulasmaa Johanna Kuusisto Markku Laakso Jari Lahti Thomas Lang Bente L Langdahl Lenore J Launer Jong-Young Lee Markus M Lerch Joshua R Lewis Lars Lind Cecilia Lindgren Yongmei Liu Tian Liu Youfang Liu Östen Ljunggren Mattias Lorentzon Robert N Luben William Maixner Fiona E McGuigan Carolina Medina-Gomez Thomas Meitinger Håkan Melhus Dan Mellström Simon Melov Karl Michaëlsson Braxton D Mitchell Andrew P Morris Leif Mosekilde Anne Newman Carrie M Nielson Jeffrey R O'Connell Ben A Oostra Eric S Orwoll Aarno Palotie Stephen C J Parker Munro Peacock Markus Perola Annette Peters Ozren Polasek Richard L Prince Katri Räikkönen Stuart H Ralston Samuli Ripatti John A Robbins Jerome I Rotter Igor Rudan Veikko Department of Internal Medicine Erasmus MC Rotterdam 3000 The Netherlands. Netherlands Genomics Initiative (NGI)-sponsored Netherlands Consortium for Healthy Aging (NCHA) Leiden 2593 The Netherlands. Department of Biostatistics Boston University School of Public Health Boston MA 02118 USA. Hebrew SeniorLife Institute for Aging Research Roslindale MA 02131 USA. Harvard Medical School Boston MA 02115 USA. Molecular and Integrative Physiological Sciences Program Harvard School of Public Health Boston MA 02115 USA. Program in Personalized and Genomic Medicine and Department of Medicine Division of Endocrinology Diabetes and Nutrition University of Maryland School of Medicine Baltimore MD 21201 USA. Broad Institute Cambridge MA 02142 USA. Sackler Faculty of Medicine Department of Anatomy and Anthropology Tel Aviv University Tel Aviv 6997801 Israel. Department of Twin Research and Genetic Epidemiology King's College London St Thomas' Campus London WC2R 2LS UK. Department of Epidemiology Erasmus MC Rotterdam 3000 The Netherlands. Department of Medical Genetics University of Lausanne Lausanne 1011 Switzerland. Swiss Institute of Bioinformatics Lausanne 1015 Switzerland. Centre Hospitalier Universitaire (CHUV) University Institute for Social and Preventive Medicine Lausanne 1010 Switzerland. Department of Medical and Molecular Genetics Indiana University School of Medicine Indianapolis IN 46202 USA. MRC Epidemiology Unit University of Cambridge School of Clinical Medicine Cambridge Biomedical Campus Cambridge CB2 OQQ UK. Institute of Epidemiology II Helmholtz Zentrum München - German Research Center for Environmental Health Neuherberg 85764 Germany. Icelandic Heart Association Kopavogur 201 Iceland. Faculty of Medicine University of Iceland Reykjavik 101 Iceland. deCODE Genetics Reykjavik 101 Iceland. Department of Internal Medicine Institute of Medicine Sahlgrenska Academy University of Gothenburg Gothenburg SE-405 30 Sweden. Dep

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World Congress Integrative Medicine & Health 2017: Part one: Berlin, Germany. 3-5 May 2017

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BMC Complement Altern Med 2017年第SUPPL 1期17卷 322-322页

作者： Benno Brinkhaus Torkel Falkenberg Aviad Haramati Stefan N. Willich Josephine P. Briggs Merlin Willcox Klaus Linde Töres Theorell Lisa M. Wong Jeffrey Dusek Darong Wu David Eisenberg Bettina Berger Kathi Kemper Beate Stock-Schröer Hedda Sützl-Klein Rosaria Ferreri Gary Kaplan Harald Matthes Gabriele Rotter Elad Schiff Zahi Arnon Eckhard Hahn Christina M. Luberto David Martin Silke Schwarz Diethard Tauschel Andrew Flower Harsha Gramminger Hedwig H. Gupta S. N. Gupta Annette Kerckhoff Christian S. Kessler Andreas Michalsen Eun S. Kim Eun H. Jang Rana Kim Sae B. Jan Martin Mittwede Wiebke Mohme Eran Ben-Arye Massimo Bonucci Bashar Saad Thomas Breitkreuz Elio Rossi Rejin Kebudi Michel Daher Samaher Razaq Nahla Gafer Omar Nimri Mohamed Hablas Gunver Sophia Kienle Noah Samuels Michael Silbermann Lena Bandelin Anna-Lena Lang Eva Wartner Christoph Holtermann Maxwell Binstock Robert Riebau Edin Mujkanovic Holger Cramer Romy Lauche Andres Michalsen Lesley Ward Dominik Irnich Wolfram Stör Geoffrey Burnstock Hans-Georg Schaible Thomas Ots Jost Langhorst Tobias Sundberg Catherina Amarell Melanie Anheyer Marion Eckert Mercedes Ogal Annette Schönauer Birgit Reisenberger Bernhard Brand Dennis Anheyer Gustav Dobos Matthias Kroez Aldo Ammendola Jun J. Mao Claudia Witt Yufei Yang Miriam Oritz Markus Horneber Petra Voiß Alexandra von Rosenstiel Catharina Amarell Friedemann Schad Marc Schläppi Matthias Kröz Arndt Büssing Gil Bar-Sela David Avshalomov Samuel Attias Sian Cotton Miek Jong Mats Jong Christian Scheffer Friedrich Edelhäuser Abdullah AlBedah Myeong Soo Lee Mohamed Khalil Keiko Ogawa Yoshiharu Motoo Junsuke Arimitsu Masao Ogawa Genki Shimizu Rainer Stange Karin Kraft Kenny Kuchta Kenji Watanabe D Bonin Harald Gruber Sabine Koch Urs Pohlmann Christine Caldwell Barbara Krantz Ria Kortum Lily Martin Lisa S. Wieland Ben Kligler Susan Gould-Fogerite Yuqing Zhang John J. Riva Michael Lumpkin Emily Ratner Liu Ping Pei Jian Gesa-Meyer Hamme Xiaosong Mao Han Chouping Sven Schröder Josef Hummelsberger Michael Wullinger Marc Brodzky Chr Institute for Social Medicine Epidemiology and Health Economics Charité – Universitätsmedizin Berlin Berlin Germany Department of Neurobiology Care Sciences and Society Division of Nursing Research Group Integrative Care Karolinska Institutet Stockholm Sweden I C – The Integrative Care Science Center Järna Sweden Department of Biochemistry Molecular and Cellular Biology Georgetown University Medical Center Washington DC USA Department of Medicine Georgetown University Medical Center Washington DC USA NCCIH NIH Bethesda MD USA Department of Primary Care and Population Sciences University of Southampton Aldermoor Health Centre Coxford Rd Southampton 2016 5ST UK Institute of General Practice Technical University Munich Munich Germany Department of Neuroscience Karolinska Institute Stockholm Sweden Stress Research Institute Stockholm University Stockholm Sweden Arts and Humanities Initiative Harvard Medical School Boston MA 02115 USA Psychosomatic medicine Neuropsychology Allina Health Minneapolis MN USA nd Affiliated Hospital of Guangzhou University of Chinese Medicine Guangzhou China Department of Nutrition Harvard University T H Chan School of Public Health Boston MA 02115 USA Department of Health University of Witten/Herdecke Witten/Herdecke Germany OSU Blacklick OH USA Carstens-Foundation and FORUM D-45276 Essen Germany ESIHR (European Society for Integrative Health Care) A-1070 Vienna Austria Hospital Centre of Integrated Medicine Hospital of Pitiglian o ASL SudEst Toscana Grosseto Italy The Kaplan Center for Integrative Medicine Georgetown University McLean VA USA Hospital Havelhöhe Berlin Germany Institute for Social Medicine Epidemiology and Health Economics Charité University Hospital Berlin Germany Internal medicine and Complementary medicine service Bnai Zion Medical Center Haifa Israel Complementary-Integrative Surgery Service Bnai Zion Medical Center Haifa Israel The Emek Yezreel Academic College Yezreel Valley Israel Medicine

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