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Erratum to: Integrative analysis of multi-omics data for identifying multi-markers for diagnosing pancreatic cancer

BMC genomics 2017年第1期18卷 88页

作者： Min-Seok Kwon Yongkang Kim Seungyeoun Lee Junghyun Namkung Taegyun Yun Sung Gon Yi Sangjo Han Meejoo Kang Sun Whe Kim Jin-Young Jang Taesung Park Interdisciplinary program in Bioinformatics Seoul National University Seoul Korea. Department of Statistics Seoul National University Seoul Korea. Department of Mathematics and Statistics Sejong University Seoul Korea. Immunodiagnostics R&D Team IVD Business Unit New Business Division SK telecom Co Seongnam Korea. Department of Surgery Seoul National University Hospital Seoul Korea. Department of Surgery Seoul National University Hospital Seoul Korea. jangjy4@***. Interdisciplinary program in Bioinformatics Seoul National University Seoul Korea. tspark@stats.snu.ac.kr. Department of Statistics Seoul National University Seoul Korea. tspark@stats.snu.ac.kr.

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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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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Effects of gamma irradiation dose-rate on sterile male Aedesaegypti

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AIP Conference Proceedings 2017年第1期1854卷

作者： Beni Ernawan Usman Sumo Friend Tambunan Irawan Sugoro Hadian Iman Sasmita 1Center for Isotopes and Radiation Application-National Nuclear Energy Agency. Jl. Lebak Bulus Raya No. 49 Jakarta 12440 Indonesia. Tel. +62-21-7690709 Fax. +62-21-7691607 2Graduate Program Department of Chemistry Faculty of Mathematics and Natural Science University of Indonesia. Kampus UI Depok West Java 16424 Indonesia 3Bioinformatics Research Group Department of Chemistry Faculty of Mathematics and Natural Science University of Indonesia. Kampus UI Depok West Java 16424 Indonesia

Aedesaegypti is the most important vector for dengue, yellow fever and Zika viruses. Considering its medical importance, vector population control program utilizing radiation-based sterile insect technique (SIT) is one of the potential methods for preventing and limiting the dispersal of these viruses. The present study was undertaken to evaluate the dose-rates effects of γ-sterilization on quality parameters of sterile males. Males *** at the pupal stage were sterilized by applying 70 Gyγ-rays in varies dose-rates, i.e. 0 (control), 300, 600, 900, 1200 and 1500Gy/h utilizing panoramic irradiator. Adult males that emerged from the pupal stage were assessed for their quality parameters, which are the percentage of emergence, longevity, sterility and mating competitiveness. The results herein indicate that there was no major effect of dose-rate on the percentage of emergence, the data showedthat there were no differences between irradiated males compared with control. Generally, the longevity of irradiated males was lower compared to control. The data also demonstrated that longevity was significantly increased at the dose-rate from 300 to 900Gy/h, then decreased at the dose-rate 900 to 1500 Gy/h. Sterility of irradiated maleswas significantly different compared to control, while there was no significantly different at dose rate 300 to 1500 Gy/h. Mating competitiveness of irradiated males was increased at the dose rate from 300 to 1200 Gy/h, then the value was decreased significantly at the dose rate 1500 Gy/h. The dose-rate effects of γ-sterilization were discussed in the context genetic vector control, in particular, the SIT. The results give information and contribute to better understanding towards γ-sterilization optimization and quality parameters of sterile male Ae. aegypti on SIT methods.

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Source and sink nodes in absence seizures

Source and sink nodes in absence seizures

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

作者： Abner C. Rodrigues Birajara S. Machado Luís Otávio S. F. Caboclo André Fujita Luiz A. Baccala Koichi Sameshima Bioinformatics Interunits Graduate Program Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR Hospital Israelita Albert Einstein São Paulo Brazil Institute of Mathematics and Statistics Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR School of Medicine Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR

ISBN: (纸本)9781457702198

As opposed to focal epilepsy, absence seizures do not exhibit a clear seizure onset zone or focus since its ictal activity rapidly engages both brain hemispheres. Yet recent graph theoretical analysis applied to absence seizures EEG suggests the cortical focal presence, an unexpected feature for this type of epilepsy. In this study, we explore the characteristics of absence seizure by classifying the nodes as to their source/sink natures via weighted directed graph analysis based on connectivity direction and strength estimation using information partial directed coherence (iPDC). By segmenting the EEG signals into relatively short 5-sec-long time windows we studied the evolution of coupling strengths from both sink and source nodes, and the network dynamics of absence seizures in eight patients.

关键词： Electrodes Electroencephalography Epilepsy Brain models Coherence Couplings

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Author Correction: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk

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Nature genetics 2023年第10期55卷 1778-1779页

作者： Nick Shrine Abril G Izquierdo Jing Chen Richard Packer Robert J Hall Anna L Guyatt Chiara Batini Rebecca J Thompson Chandan Pavuluri Vidhi Malik Brian D Hobbs Matthew Moll Wonji Kim Ruth Tal-Singer Per Bakke Katherine A Fawcett Catherine John Kayesha Coley Noemi Nicole Piga Alfred Pozarickij Kuang Lin Iona Y Millwood Zhengming Chen Liming Li Sara R A Wijnant Lies Lahousse Guy Brusselle Andre G Uitterlinden Ani Manichaikul Elizabeth C Oelsner Stephen S Rich R Graham Barr Shona M Kerr Veronique Vitart Michael R Brown Matthias Wielscher Medea Imboden Ayoung Jeong Traci M Bartz Sina A Gharib Claudia Flexeder Stefan Karrasch Christian Gieger Annette Peters Beate Stubbe Xiaowei Hu Victor E Ortega Deborah A Meyers Eugene R Bleecker Stacey B Gabriel Namrata Gupta Albert Vernon Smith Jian'an Luan Jing-Hua Zhao Ailin F Hansen Arnulf Langhammer Cristen Willer Laxmi Bhatta David Porteous Blair H Smith Archie Campbell Tamar Sofer Jiwon Lee Martha L Daviglus Bing Yu Elise Lim Hanfei Xu George T O'Connor Gaurav Thareja Omar M E Albagha Karsten Suhre Raquel Granell Tariq O Faquih Pieter S Hiemstra Annelies M Slats Benjamin H Mullin Jennie Hui Alan James John Beilby Karina Patasova Pirro Hysi Jukka T Koskela Annah B Wyss Jianping Jin Sinjini Sikdar Mikyeong Lee Sebastian May-Wilson Nicola Pirastu Katherine A Kentistou Peter K Joshi Paul R H J Timmers Alexander T Williams Robert C Free Xueyang Wang John L Morrison Frank D Gilliland Zhanghua Chen Carol A Wang Rachel E Foong Sarah E Harris Adele Taylor Paul Redmond James P Cook Anubha Mahajan Lars Lind Teemu Palviainen Terho Lehtimäki Olli T Raitakari Jaakko Kaprio Taina Rantanen Kirsi H Pietiläinen Simon R Cox Craig E Pennell Graham L Hall W James Gauderman Chris Brightling James F Wilson Tuula Vasankari Tarja Laitinen Veikko Salomaa Dennis O Mook-Kanamori Nicholas J Timpson Eleftheria Zeggini Josée Dupuis Caroline Hayward Ben Brumpton Claudia Langenberg Stefan Weiss Georg Homuth Carsten Oliver Schmidt Nicole Probst-Hensch Marjo-Riitta Jarvelin Alanna C Morrison Ozren Polasek Igor Department of Population Health Sciences University of Leicester Leicester UK. nick.shrine@leicester.ac.uk. Department of Population Health Sciences University of Leicester Leicester UK. Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre University of Nottingham Nottingham UK. Leicester National Institute for Health and Care Research Biomedical Research Centre Glenfield Hospital Leicester UK. Channing Division of Network Medicine Division of Pulmonary and Critical Care Medicine Department of Medicine Brigham and Women's Hospital Boston MA USA. Harvard Medical School Boston MA USA. COPD Foundation Washington DC USA. Department of Clinical Science Unversity of Bergen Bergen Norway. Nuffield Department of Population Health University of Oxford Oxford UK. MRC Population Health Research Unit University of Oxford Oxford UK. Department of Epidemiology and Biostatistics School of Public Health Peking University Health Science Center Beijing China. Department of Respiratory Diseases Ghent Universital Hospital Ghent Belgium. Department of Bioanalysis Faculty of Pharmaceutical Sciences Ghent University Ghent Belgium. Department of Epidemiology Eramus Medical Center Rotterdam The Netherlands. Department of Internal Medicine Eramus Medical Center Rotterdam The Netherlands. Center for Public Health Genomics University of Virginia Charlottesville VA USA. Department of Medicine Columbia University Medical Center New York NY USA. Medical Research Council Human Genetics Unit Institute of Genetics and Cancer University of Edinburgh Edinburgh UK. Human Genetics Center Department of Epidemiology Human Genetics and Environmental Sciences School of Public Health The University of Texas Health Science Center at Houston Houston TX USA. MRC Centre for Environment and Health Department of Epidemiology and Biostatistics School of Public Health Imperial College London London UK. Department of Epidemiology and Public Health Swiss Tropical

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Author Correction: Universal DNA methylation age across mammalian tissues

Nature aging

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Nature aging 2023年第11期3卷 1462页

作者： A T Lu Z Fei A Haghani T R Robeck J A Zoller C Z Li R Lowe Q Yan J Zhang H Vu J Ablaeva V A Acosta-Rodriguez D M Adams J Almunia A Aloysius R Ardehali A Arneson C S Baker G Banks K Belov N C Bennett P Black D T Blumstein E K Bors C E Breeze R T Brooke J L Brown G G Carter A Caulton J M Cavin L Chakrabarti I Chatzistamou H Chen K Cheng P Chiavellini O W Choi S M Clarke L N Cooper M L Cossette J Day J DeYoung S DiRocco C Dold E E Ehmke C K Emmons S Emmrich E Erbay C Erlacher-Reid C G Faulkes S H Ferguson C J Finno J E Flower J M Gaillard E Garde L Gerber V N Gladyshev V Gorbunova R G Goya M J Grant C B Green E N Hales M B Hanson D W Hart M Haulena K Herrick A N Hogan C J Hogg T A Hore T Huang J C Izpisua Belmonte A J Jasinska G Jones E Jourdain O Kashpur H Katcher E Katsumata V Kaza H Kiaris M S Kobor P Kordowitzki W R Koski M Krützen S B Kwon B Larison S G Lee M Lehmann J F Lemaitre A J Levine C Li X Li A R Lim D T S Lin D M Lindemann T J Little N Macoretta D Maddox C O Matkin J A Mattison M McClure J Mergl J J Meudt G A Montano K Mozhui J Munshi-South A Naderi M Nagy P Narayan P W Nathanielsz N B Nguyen C Niehrs J K O'Brien P O'Tierney Ginn D T Odom A G Ophir S Osborn E A Ostrander K M Parsons K C Paul M Pellegrini K J Peters A B Pedersen J L Petersen D W Pietersen G M Pinho J Plassais J R Poganik N A Prado P Reddy B Rey B R Ritz J Robbins M Rodriguez J Russell E Rydkina L L Sailer A B Salmon A Sanghavi K M Schachtschneider D Schmitt T Schmitt L Schomacher L B Schook K E Sears A W Seifert A Seluanov A B A Shafer D Shanmuganayagam A V Shindyapina M Simmons K Singh I Sinha J Slone R G Snell E Soltanmaohammadi M L Spangler M C Spriggs L Staggs N Stedman K J Steinman D T Stewart V J Sugrue B Szladovits J S Takahashi M Takasugi E C Teeling M J Thompson B Van Bonn S C Vernes D Villar H V Vinters M C Wallingford N Wang R K Wayne G S Wilkinson C K Williams R W Williams X W Yang M Yao B G Young B Zhang Z Zhang P Zhao Y Zhao W Zhou J Zimmermann J Ernst K Raj S Horvath Department of Human Genetics David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. Altos Labs San Diego Institute of Science San Diego CA USA. Department of Biostatistics Fielding School of Public Health University of California Los Angeles Los Angeles CA USA. Department of Statistics University of California Riverside Riverside CA USA. Zoological SeaWorld Parks and Entertainment Orlando FL USA. Altos Labs Cambridge Institute of Science Cambridge UK. Bioinformatics Interdepartmental Program University of California Los Angeles CA USA. Department of Biological Chemistry University of California Los Angeles Los Angeles CA USA. Department of Biology University of Rochester Rochester NY USA. Department of Neuroscience Peter O'Donnell Jr. Brain Institute University of Texas Southwestern Medical Center Dallas TX USA. Department of Biology University of Maryland College Park MD USA. Loro Parque Fundacion Puerto de la Cruz Spain. Department of Biology University of Kentucky Lexington KY USA. Division of Cardiology Department of Internal Medicine David Geffen School of Medicine University of California Los Angeles Los Angeles CA USA. Marine Mammal Institute Oregon State University Newport OR USA. School of Science and Technology Clifton Campus Nottingham Trent University Nottingham UK. School of Life and Environmental Sciences the University of Sydney Sydney New South Wales Australia. Department of Zoology and Entomology University of Pretoria Hatfield South Africa. Busch Gardens Tampa Tampa FL USA. Department of Ecology and Evolutionary Biology University of California Los Angeles Los Angeles CA USA. Rocky Mountain Biological Laboratory Crested Butte CO USA. Altius Institute for Biomedical Sciences Seattle WA USA. Epigenetic Clock Development Foundation Los Angeles CA USA. Center for Species Survival Smithsonian Conservation Biology Institute Front Royal VA USA. Department of Evolution Eco

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Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes

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Nature communications 2021年第1期12卷 2463页

作者： Joris Deelen Daniel S Evans Dan E Arking Niccolò Tesi Marianne Nygaard Xiaomin Liu Mary K Wojczynski Mary L Biggs Ashley van der Spek Gil Atzmon Erin B Ware Chloé Sarnowski Albert V Smith Ilkka Seppälä Heather J Cordell Janina Dose Najaf Amin Alice M Arnold Kristin L Ayers Nir Barzilai Elizabeth J Becker Marian Beekman Hélène Blanché Kaare Christensen Lene Christiansen Joanna C Collerton Sarah Cubaynes Steven R Cummings Karen Davies Birgit Debrabant Jean-François Deleuze Rachel Duncan Jessica D Faul Claudio Franceschi Pilar Galan Vilmundur Gudnason Tamara B Harris Martijn Huisman Mikko A Hurme Carol Jagger Iris Jansen Marja Jylhä Mika Kähönen David Karasik Sharon L R Kardia Andrew Kingston Thomas B L Kirkwood Lenore J Launer Terho Lehtimäki Wolfgang Lieb Leo-Pekka Lyytikäinen Carmen Martin-Ruiz Junxia Min Almut Nebel Anne B Newman Chao Nie Ellen A Nohr Eric S Orwoll Thomas T Perls Michael A Province Bruce M Psaty Olli T Raitakari Marcel J T Reinders Jean-Marie Robine Jerome I Rotter Paola Sebastiani Jennifer Smith Thorkild I A Sørensen Kent D Taylor André G Uitterlinden Wiesje van der Flier Sven J van der Lee Cornelia M van Duijn Diana van Heemst James W Vaupel David Weir Kenny Ye Yi Zeng Wanlin Zheng Henne Holstege Douglas P Kiel Kathryn L Lunetta P Eline Slagboom Joanne M Murabito Max Planck Institute for Biology of Ageing Cologne Germany. Joris.Deelen@age.mpg.de. Molecular Epidemiology Department of Biomedical Data Sciences Leiden University Medical Center Leiden The Netherlands. Joris.Deelen@age.mpg.de. California Pacific Medical Center Research Institute San Francisco CA USA. DEvans@***. McKusick-Nathans Institute of Genetic Medicine Department of Genetic Medicine Johns Hopkins University School of Medicine Baltimore MD USA. Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam The Netherlands. Department of Clinical Genetics Amsterdam UMC Amsterdam The Netherlands. Delft Bioinformatics Lab Delft University of Technology Delft The Netherlands. The Danish Aging Research Center Department of Public Health University of Southern Denmark Odense C Denmark. BGI-Shenzhen Shenzhen China. China National Genebank BGI-Shenzhen Shenzhen China. Division of Statistical Genomics Department of Genetics Washington University School of Medicine Saint Louis MO USA. Department of Biostatistics University of Washington Seattle WA USA. Cardiovascular Health Research Unit Department of Medicine University of Washington Seattle WA USA. Department of Epidemiology Erasmus MC Rotterdam The Netherlands. Department of Biology Faculty of Natural Science University of Haifa Haifa Israel. Departments of Medicine and Genetics Albert Einstein College of Medicine Bronx NY USA. Institute for Social Research Survey Research Center University of Michigan Ann Arbor MI USA. Department of Biostatistics Boston University School of Public Health Boston MA USA. School of Public Health Department of Biostatistics University of Michigan Ann Arbor MI USA. Icelandic Heart Association Kópavogur Iceland. Department of Clinical Chemistry Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere Faculty of Medicine and Health Technology Tampere University Tampere Finland. I

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LifeTime and improving European healthcare through cell-based interceptive medicine (vol 587, pg 377, 2020)

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NATURE 2021年第7852期592卷 E8-E8页

作者： Rajewsky, Nikolaus Almouzni, Genevieve Gorski, Stanislaw A. Aerts, Stein Amit, Ido Bertero, Michela G. Bock, Christoph Bredenoord, Annelien L. Cavalli, Giacomo Chiocca, Susanna Clevers, Hans De Strooper, Bart Eggert, Angelika Ellenberg, Jan Fernandez, Xose M. Figlerowicz, Marek Gasser, Susan M. Hubner, Norbert Kjems, Jorgen Knoblich, Jurgen A. Krabbe, Grietje Lichter, Peter Linnarsson, Sten Marine, Jean-Christophe Marioni, John C. Marti-Renom, Marc A. Netea, Mihai G. Nickel, Dorthe Nollmann, Marcelo Novak, Halina R. Parkinson, Helen Piccolo, Stefano Pinheiro, Ines Pombo, Ana Popp, Christian Reik, Wolf Roman-Roman, Sergio Rosenstiel, Philip Schultze, Joachim L. Stegle, Oliver Tanay, Amos Testa, Giuseppe Thanos, Dimitris Theis, Fabian J. Torres-Padilla, Maria-Elena Valencia, Alfonso Vallot, Celine van Oudenaarden, Alexander Vidal, Marie Voet, Thierry Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine in the Helmholtz Association Berlin Germany Charité-Universitätsmedizin Berlin Germany Berlin Institute of Health (BIH) Berlin Germany German Center for Cardiovascular Research (DZHK) Partner Site Berlin Berlin Germany Institute for Biology Humboldt University of Berlin Berlin Germany Cardiovascular and Metabolic Sciences Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) Berlin Germany Department of Pediatric Oncology/Hematology Charité-Universitätsmedizin Berlin Berlin Germany Institut Curie CNRS PSL Research University Sorbonne Université Nuclear Dynamics Unit Equipe Labellisée Ligue contre le cancer Paris France VIB Center for Brain and Disease Research Leuven Belgium Department of Human Genetics KU Leuven Leuven Belgium Department of Neurosciences KU Leuven Leuven Belgium UK Dementia Research Institute at UCL University College London London UK Wellcome Sanger Institute Wellcome Genome Campus Cambridge UK Department of Immunology Weizmann Institute of Science Rehovot Israel Centre for Genomic Regulation (CRG) Barcelona Institute of Science and Technology Barcelona Spain CNAG-CRG Centre for Genomic Regulation Barcelona Institute of Science and Technology Barcelona Spain Universitat Pompeu Fabra Barcelona Spain ICREA Barcelona Spain CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences Vienna Austria Department of Laboratory Medicine Medical University of Vienna Vienna Austria Ludwig Boltzmann Institute for Rare and Undiagnosed Diseases Vienna Austria Department of Medical Humanities Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht The Netherlands Institute of Human Genetics UMR 9002 CNRS and University of Montpellier Montpellier France Department of Experimental Oncology IEO European Institute of Oncology IRCCS Milan Italy Department of Oncology and Hemato

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Independent component versus Local Sparse Component Analysis in resting state fMRI

Independent component versus Local Sparse Component Analysis...

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

作者： Gilson Vieira Edson Amaro João R. Sato Luiz A. Baccalá Inter-institutional Grad Program on Bioinformatics Universidade de São Paulo São Paulo Brazil Center of Mathematics Computation and Cognition Universidade Federal do ABC Santo Andre Brazil

Independent Component Analysis (ICA) algorithms are potentially powerful ways of localizing sources of cerebral activity in resting state functional Magnetic Resonance Imaging (fMRI). But the assumptions underling the nature of identified sources limits this tool. By creating local one-dimensional approximations, Local Sparse Component Analysis (LSCA) can separate contiguous sources on the basis of their sparse representation into smoothness spaces via the 3D wavelet transformation. In this paper we systematically compare Probabilistic ICA (PICA) and LSCA for analyzing resting state fMRI across healthy participants. We show that the PICA sources usually representing biologically plausible components can in fact be decomposed into several LSCA sources that are not necessarily independent from each other. In addition, we show that LSCA identifies sources that approximate much better the local variations of the blood oxygenation level-dependent (BOLD) signal than PICA sources.

关键词： Correlation Time series analysis Wavelet transforms Independent component analysis Magnetic resonance imaging Standards Visualization

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