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Author Correction: Determination of RNA structural diversity and its role in HIV-1 RNA splicing

Nature 2020年第7837期588卷 E16页

作者： Phillip J Tomezsko Vincent D A Corbin Paromita Gupta Harish Swaminathan Margalit Glasgow Sitara Persad Matthew D Edwards Lachlan Mcintosh Anthony T Papenfuss Ann Emery Ronald Swanstrom Trinity Zang Tammy C T Lan Paul Bieniasz Daniel R Kuritzkes Athe Tsibris Silvi Rouskin Whitehead Institute for Biomedical Research Cambridge MA USA. Program in Virology Harvard Medical School Boston MA USA. Brigham and Women's Hospital Boston MA USA. Bioinformatics Division Walter and Eliza Hall Institute Parkville Victoria Australia. Department of Medical Biology The University of Melbourne Melbourne Victoria Australia. Massachusetts Institute of Technology Cambridge MA USA. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge MA USA. Peter MacCallum Cancer Centre Melbourne Victoria Australia. Department of Mathematics and Statistics University of Melbourne Melbourne Victoria Australia. Sir Peter MacCallum Department of Oncology The University of Melbourne Melbourne Victoria Australia. Curriculum in Genetics and Molecular Biology University of North Carolina at Chapel Hill Chapel Hill NC USA. Lineberger Comprehensive Cancer Center University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Microbiology and Immunology University of North Carolina at Chapel Hill Chapel Hill NC USA. Department of Biochemistry and Biophysics University of North Carolina at Chapel Hill Chapel Hill NC USA. Laboratory of Retrovirology The Rockefeller University New York NY USA. Howard Hughes Medical Institute The Rockefeller University New York NY USA. Department of Medicine Harvard Medical School Boston MA USA. Whitehead Institute for Biomedical Research Cambridge MA USA. srouskin@wi.mit.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Landscape of somatic mutations in 560 breast cancer whole-genome sequences (vol 534, pg 47, 2016)

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NATURE 2019年第7742期566卷 E1-E1页

作者： Nik-Zainal, Serena Davies, Helen Staaf, Johan Ramakrishna, Manasa Glodzik, Dominik Zou, Xueqing Martincorena, Inigo Alexandrov, Ludmil B. Martin, Sancha Wedge, David C. Van Loo, Peter Ju, Young Seok Smid, Marcel Brinkman, Arie B. Morganella, Sandro Aure, Miriam R. Lingjaerde, Ole Christian Langerod, Anita Ringner, Markus Ahn, Sung-Min Boyault, Sandrine Brock, Jane E. Broeks, Annegien Butler, Adam Desmedt, Christine Dirix, Luc Dronov, Serge Fatima, Aquila Foekens, John A. Gerstung, Moritz Hooijer, Gerrit K. J. Jang, Se Jin Jones, David R. Kim, Hyung-Yong King, Tari A. Krishnamurthy, Savitri Lee, Hee Jin Lee, Jeong-Yeon Li, Yilong McLaren, Stuart Menzies, Andrew Mustonen, Ville O'Meara, Sarah Pauporte, Iris Pivot, Xavier Purdie, Colin A. Raine, Keiran Ramakrishnan, Kamna Rodriguez-Gonzalez, F. German Romieu, Gilles Sieuwerts, Anieta M. Simpson, Peter T. Shepherd, Rebecca Stebbings, Lucy Stefansson, Olafur A. Teague, Jon Tommasi, Stefania Treilleux, Isabelle Van den Eynden, Gert G. Vermeulen, Peter Vincent-Salomon, Anne Yates, Lucy Caldas, Carlos van't Veer, Laura Tutt, Andrew Knappskog, Stian Tan, Benita Kiat Tee Jonkers, Jos Borg, Ake Ueno, Naoto T. Sotiriou, Christos Viari, Alain Futreal, P. Andrew Campbell, Peter J. Span, Paul N. Van Laere, Steven Lakhani, Sunil R. Eyfjord, Jorunn E. Thompson, Alastair M. Birney, Ewan Stunnenberg, Hendrik G. de Vijver, Marc J. van Martens, John W. M. Borresen-Dale, Anne-Lise Richardson, Andrea L. Kong, Gu Thomas, Gilles Stratton, Michael R. Wellcome Trust Sanger Institute Hinxton Cambridge UK East Anglian Medical Genetics Service Cambridge University Hospitals NHS Foundation Trust Cambridge UK Division of Oncology and Pathology Department of Clinical Sciences Lund Lund University Lund Sweden Theoretical Biology and Biophysics (T-6) Los Alamos National Laboratory Los Alamos USA Center for Nonlinear Studies Los Alamos National Laboratory Los Alamos USA Department of Human Genetics University of Leuven Leuven Belgium Department of Medical Oncology Erasmus MC Cancer Institute and Cancer Genomics Netherlands Erasmus University Medical Center Rotterdam The Netherlands Radboud University Department of Molecular Biology Faculty of Science Nijmegen The Netherlands European Molecular Biology Laboratory European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton UK Department of Cancer Genetics Institute for Cancer Research Oslo University Hospital The Norwegian Radium Hospital Oslo Norway K. G. Jebsen Centre for Breast Cancer Research Institute for Clinical Medicine University of Oslo Oslo Norway Department of Computer Science University of Oslo Oslo Norway Gachon Institute of Genome Medicine and Science Gachon University Gil Medical Center Incheon South Korea Translational Research Lab Centre Léon Bérard Lyon Cedex 08 France Department of Pathology Brigham and Women’s Hospital Boston USA The Netherlands Cancer Institute Amsterdam The Netherlands Breast Cancer Translational Research Laboratory Université Libre de Bruxelles Institut Jules Bordet Brussels Belgium Translational Cancer Research Unit Center for Oncological Research Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium Dana-Farber Cancer Institute Boston Massachusetts USA Department of Pathology Academic Medical Center Amsterdam The Netherlands Department of Pathology Asan Medical Center College of Medicine Ulsan University Ulsan South Korea Department of Pathology College of Medicine Hany

In the Methods section of this Article, 'greater than' should have been 'less than' in the sentence 'Putative regions of clustered rearrangements were identified as having an average inter-rearrangement distance that was at least 10 times greater than the whole-genome average for the individual sample. '. The Article has not been corrected.

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Learning approaches to improve prediction of drug sensitivity in breast cancer patients

Learning approaches to improve prediction of drug sensitivit...

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

作者： Turki Turki Zhi Wei King Abdulaziz University Computer Science Department Jeddah Saudi Arabia Department of Computer Science University Heights New Jersey Institute of Technology Bioinformatics Program Newark NJ USA

Predicting drug response to cancer disease is an important problem in modern clinical oncology that attracted increasing recent attention from various domains such as computational biology, machine learning, and data mining. Cancer patients respond differently to each cancer therapy owing to disease diversity, genetic factors, and environmental causes. Thus, oncologists aim to identify the effective therapies for cancer patients and avoid adverse drug reactions in patients. By predicting the drug response to cancer, oncologists gain full understanding of the effective treatments on each patient, which leads to better personalized treatment. In this paper, we present three learning approaches to improve the prediction of breast cancer patients' response to chemotherapy drug: the instance selection approach, the oversampling approach, and the hybrid approach. We evaluate the performance of our approaches and compare them against the baseline approach using the Area Under the ROC Curve (AUC) on clinical trial data, in addition to testing the stability of the approaches. Our experimental results show the stability of our approaches giving the highest AUC with statistical significance.

关键词： Drugs Prediction algorithms Training Cancer Kernel Sensitivity Support vector machines

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Author Correction: Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution

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Nature genetics 2020年第4期52卷 463页

作者： Michelle Chan-Seng-Yue Jaeseung C Kim Gavin W Wilson Karen Ng Eugenia Flores Figueroa Grainne M O'Kane Ashton A Connor Robert E Denroche Robert C Grant Jessica McLeod Julie M Wilson Gun Ho Jang Amy Zhang Sheng-Ben Liang Ayelet Borgida Dianne Chadwick Sangeetha Kalimuthu Ilinca Lungu John M S Bartlett Paul M Krzyzanowski Vandana Sandhu Hervé Tiriac Fieke E M Froeling Joanna M Karasinska James T Topham Daniel J Renouf David F Schaeffer Steven J M Jones Marco A Marra Janessa Laskin Runjan Chetty Lincoln D Stein George Zogopoulos Benjamin Haibe-Kains Peter J Campbell David A Tuveson Jennifer J Knox Sandra E Fischer Steven Gallinger Faiyaz Notta Princess Margaret Cancer Centre Toronto Ontario Canada. PanCuRx Translational Research Initiative Ontario Institute for Cancer Research Toronto Ontario Canada. Genomics Technology Program Ontario Institute for Cancer Research Toronto Ontario Canada. Wallace McCain Centre for Pancreatic Cancer Department of Medical Oncology Princess Margaret Centre University Health Network University of Toronto Toronto Ontario Canada. Hepatobiliary/Pancreatic Surgical Oncology Program University Health Network Toronto Ontario Canada. UHN Program in BioSpecimen Sciences University Health Network Toronto Ontario Canada. Lunenfeld-Tanenbaum Research Institute Mount Sinai Hospital Toronto Ontario Canada. Department of Pathology University Health Network and University of Toronto Toronto Ontario Canada. Diagnostic Development Ontario Institute for Cancer Research Toronto Ontario Canada. Cold Spring Harbor Laboratory Cold Spring Harbor NY USA. Lustgarten Foundation Pancreatic Cancer Research Laboratory Cold Spring Harbor NY USA. Department of Surgery University of California San Diego NCI-designated Comprehensive Cancer Center La Jolla CA USA. Department of Surgery and Cancer Imperial College London London UK. Pancreas Centre BC Vancouver British Columbia Canada. Department of Medical Oncology BC Cancer Vancouver British Columbia Canada. Department of Pathology and Laboratory Medicine Vancouver General Hospital Vancouver British Columbia Canada. Canada's Michael Smith Genome Sciences Centre Vancouver British Columbia Canada. Department of Medical Genetics University of British Columbia Vancouver British Columbia Canada. Bioinformatics Ontario Institute for Cancer Research Toronto Ontario Canada. Department of Molecular Genetics University of Toronto Toronto Ontario Canada. Research Institute of the McGill University Health Centre Montreal Quebec Canada. The Goodman Cancer Research Centre of McGill University Montreal Quebec Canada. Department of Medical

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Corrigendum to "A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer"

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Computational and structural biotechnology journal 2018年 16卷 196页

作者： M Q Yang D Li W Yang Y Zhang J Liu W Tong Joint Bioinformatics Graduate Program Department of Information Science George W. Donaghey College of Engineering and Information Technology University of Arkansas at Little Rock USA. University of Arkansas for Medical Sciences 2801 S. University Ave Little Rock AR 72204 USA. School of Computer Science Carnegie Mellon University 5000 Forbes Ave Pittsburgh PA 15213 USA. Department of Statistics Harvard University Cambridge MA 02138 USA. Divisions of Bioinformatics and Biostatistics National Center for Toxicological Research US Food and Drug Administration 3900 NCTR Road Jefferson AR 72079 USA.

[This corrects the article DOI: 10.1016/***.2017.09.003.].

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Proceedings of the 16th Annual UT-KBRIN bioinformatics Summit 2016: bioinformatics

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BMC bioinformatics 2017年第9期18卷 1-9页

作者： Eric C. Rouchka Juw Won Park Julia H. Chariker David A. Tieri Shreedharkumar Rajurkar Vikas Singh Nishchal K. Verma Yan Cui Mark Farman Bradford Condon Jolanta Jaromczyk Neil Moore Jerzy Jaromczyk Daniel Harris Patrick Calie Eun Kyong Shin Robert L. Davis Arash Shaban-Nejad Joshua M. Mitchell Hunter N. B. Moseley Robert M. Flight Qing Jun Wang Richard M. Higashi Teresa W-M Fan Andrew N. Lane Liangqun Lu Bernie J Daigle Jr. Xi Chen Andrey Smelter Jerzy W. Jaromczyk Bailey K. Phan Nathaniel J. Serpico Ethan G. Toney Li Chen Caroline E. Melton Jennifer R. Mandel Bernie J. Daigle Jr. Hao Chen Kazi I. Zaman Ramin Homayouni Patrick J. Trainor Andrew P. DeFilippis Samantha M. Carlisle Shesh N. Rai Department of Computer Engineering and Computer Science University of Louisville Duthie Center for Engineering Louisville KY 40292 USA Kentucky Biomedical Research Infrastructure (KBRIN) Bioinformatics Core 522 East Gray Street Louisville KY 40292 USA Department of Psychological and Brain Sciences University of Louisville Louisville KY 40292 USA Department of Anatomical Sciences and Neurobiology University of Louisville Louisville KY 40292 USA Department of Electrical Engineering IIT Kanpur India Department of Microbiology Immunology and Biochemistry University of Tennessee Health Science Center Memphis TN 38103 USA Center for Integrative and Translational Genomics University of Tennessee Health Science Center Memphis TN 38103 USA Department of Plant Pathology University of Kentucky Lexington KY 40546 USA UK Healthcare Genomics University of Kentucky Lexington KY 40536 USA Department of Entomology & Plant Pathology University of Tennessee Knoxville TN 37996 USA Department of Forestry University of Kentucky Lexington KY 40506 USA Department of Computer Science University of Kentucky Lexington KY 40506 USA Department of Computer Science University of Kentucky Lexington KY 40508 USA Department of Biological Sciences Eastern Kentucky University Richmond KY 40475 USA University of Tennessee Health Science Center – Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics Department of Pediatrics Memphis TN 38103 USA Department of Molecular & Cellular Biochemistry University of Kentucky Lexington KY 40536 USA Markey Cancer Center University of Kentucky Lexington KY 40536 USA Center for Environmental and Systems Biochemistry University of Kentucky Lexington KY 40536 USA Institute for Biomedical Informatics University of Kentucky Lexington KY 40536 USA Department of Molecular and Cellular Biochemistry University of Kentucky Lexington KY 40536 USA Department of Statistics University of Kentucky Louisville KY

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Correction to: Dynamic linear models guide design and analysis of microbiota studies within artificial human guts

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Microbiome 2018年第1期6卷 212页

作者： Justin D Silverman Heather K Durand Rachael J Bloom Sayan Mukherjee Lawrence A David Program in Computational Biology and Bioinformatics Duke University CIEMAS Room 2171 101 Science Drive Box 3382 Durham NC 27708 USA. Medical Scientist Training Program Duke University Durham NC 27708 USA. Center for Genomic and Computational Biology Duke University Durham NC 27708 USA. Department of Molecular Genetics and Microbiology Duke University Durham NC 27708 USA. University Program in Genetics and Genomics Duke University Durham NC 27708 USA. Departments of Statistical Science Mathematics Computer Science Biostatistics & Bioinformatics Duke University Durham NC 27708 USA. Program in Computational Biology and Bioinformatics Duke University CIEMAS Room 2171 101 Science Drive Box 3382 Durham NC 27708 USA. lawrence.david@duke.edu. Center for Genomic and Computational Biology Duke University Durham NC 27708 USA. lawrence.david@duke.edu. University Program in Genetics and Genomics Duke University Durham NC 27708 USA. lawrence.david@duke.edu. Department of Molecular Genetics and Microbiology Duke University Durham NC 27708 USA. lawrence.david@duke.edu.

AbstractFollowing publication of the original article [1], the authors noticed an error in the presentation of equations in the PDF version.

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Effect-specific analysis of pathogenic SNVs in human interactome: Leveraging edge-based network robustness

Effect-specific analysis of pathogenic SNVs in human interac...

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

作者： Hongzhu Cui Dmitry Korkin Bioinformatics and Computational Biology Program Worcester Polytechnic Institute Worcester MA USA Department of Computer Science Worcester Polytechnic Institute Worcester MA USA

Study of genetic variants in the context of molecular networks has recently gained much attention. However, many of these studies suffer from the lack of functional information about the network rewiring effect of genetic variants. After large-scale homology modeling, plus extracting native structure from PDB database, we performed structure-based prediction about the rewiring effect using our SNP-IN tool, and it covers significantly more variants than experimental characterization. The analysis result confirms the widespread perturbations in human interactome and reveals the network rewiring behavior based on edge-based network robustness concept.

关键词： Proteins Diseases Robustness Genetics Databases bioinformatics

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

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NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

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Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries

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Nature communications 2020年第1期11卷 1715页

作者： Seyedeh M Zekavat Sanni Ruotsalainen Robert E Handsaker Maris Alver Jonathan Bloom Timothy Poterba Cotton Seed Jason Ernst Mark Chaffin Jesse Engreitz Gina M Peloso Ani Manichaikul Chaojie Yang Kathleen A Ryan Mao Fu W Craig Johnson Michael Tsai Matthew Budoff Ramachandran S Vasan L Adrienne Cupples Jerome I Rotter Stephen S Rich Wendy Post Braxton D Mitchell Adolfo Correa Andres Metspalu James G Wilson Veikko Salomaa Manolis Kellis Mark J Daly Benjamin M Neale Steven McCarroll Ida Surakka Tonu Esko Andrea Ganna Samuli Ripatti Sekar Kathiresan Pradeep Natarajan Program in Medical and Population Genetics Broad Institute of MIT and Harvard Cambridge MA 02142 USA. Yale School of Medicine New Haven CT 06510 USA. Department of Computational Biology & Bioinformatics Yale University New Haven CT 06510 USA. Institute for Molecular Medicine University of Helsinki Helsinki Finland. Stanley Center for Psychiatric Research Broad Institute of MIT and Harvard Cambridge MA 02142 USA. Department of Genetics Harvard Medical School Boston MA 02115 USA. Department of Biotechnology Institute of Molecular and Cell Biology University of Tartu Tartu Estonia. Estonian Genome Center Tallinn Estonia. Analytic and Translational Genetics Unit Boston MA 02142 USA. Department of Biological Chemistry University of California Los Angeles Los Angeles CA 90095 USA. Department of Biostatistics Boston University School of Public Health Boston MA 02118 USA. Center for Public Health Genomics University of Virginia Charlottesville VA 22904 USA. Program in Personalized and Genomic Medicine Division of Endocrinology Diabetes & Nutrition Department of Medicine University of Maryland School of Medicine Baltimore MD 21201 USA. Department of Biostatistics School of Public Health and Community Medicine University of Washington Seattle WA 98195 USA. Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN 55455 USA. Division of Cardiology Harbor-UCLA Medical Center Los Angeles Biomedical Research Institute Los Angeles CA 90509 USA. NHLBI Framingham Heart Study Framingham MA 20892 USA. Sections of Preventive medicine and Epidemiology and cardiovascular medicine Departments of Medicine and Epidemiology Boston university Schools of Medicine and Public health Boston MA 02118 USA. Departments of Pediatrics and Medicine The Institute for Translational Genomics and Population Sciences Los Angeles Biomedical Research Institute Harbor-UCLA Medical Center Torrance CA 90509 USA. Division of Cardiology

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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