New Results
Transcriptome wide association study of coronary artery disease identifies novel susceptibility genes
View ORCID ProfileLing Li, View ORCID ProfileZhifen Chen, View ORCID ProfileMoritz von Scheidt, Andrea Steiner, View ORCID ProfileUlrich Güldener, View ORCID ProfileSimon Koplev, Angela Ma, View ORCID ProfileKe Hao, View ORCID ProfileCalvin Pan, View ORCID ProfileAldons J. Lusis, View ORCID ProfileShichao Pang, View ORCID ProfileThorsten Kessler, Raili Ermel, View ORCID ProfileKatyayani Sukhavasi, View ORCID ProfileArno Ruusalepp, View ORCID ProfileJulien Gagneur, View ORCID ProfileJeanette Erdmann, View ORCID ProfileJason C. Kovacic, View ORCID ProfileJohan L.M. Björkegren, View ORCID ProfileHeribert Schunkert
doi: https://doi.org/10.1101/2021.07.21.453208
Ling Li
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
2Center for Doctoral Studies in Informatics and its Applications,Department of Informatics, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Zhifen Chen
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Moritz von Scheidt
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Andrea Steiner
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Ulrich Güldener
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Simon Koplev
4Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
Angela Ma
4Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
Ke Hao
4Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
Calvin Pan
5Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
Aldons J. Lusis
5Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
6Departments of Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
7Departments of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
Shichao Pang
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Thorsten Kessler
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
7Departments of Microbiology, Immunology and Molecular Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
Raili Ermel
8Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital, Tartu, Estonia
Katyayani Sukhavasi
8Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital, Tartu, Estonia
Arno Ruusalepp
8Department of Cardiac Surgery and The Heart Clinic, Tartu University Hospital, Tartu, Estonia
9Clinical Gene Networks AB, Stockholm, Sweden
Julien Gagneur
2Center for Doctoral Studies in Informatics and its Applications,Department of Informatics, Technische Universität München, Germany
Jeanette Erdmann
10DZHK (German Research Centre for Cardiovascular Research), Partner Site Hamburg/Lübeck/Kiel, Lübeck, Germany
11Institute for Cardiogenetics, University of Lübeck, Maria-Geoppert-Str. 1, Lübeck, Germany
Jason C. Kovacic
12Victor Chang Cardiac Research Institute, Darlinghurst, Australia; and St Vincent’s Clinical School, University of New South Wales, Australia
13Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
Johan L.M. Björkegren
4Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-6574, USA
9Clinical Gene Networks AB, Stockholm, Sweden
14Department of Medicine, Huddinge, Karolinska Institutet, Karolinska Universitetssjukhuset, Stockholm, Sweden
Heribert Schunkert
1Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Germany
3Deutsches Zentrum für Herz- und Kreislaufforschung (DZHK), Munich Heart Alliance, Munich, Germany
Article usage
Posted July 22, 2021.
Transcriptome wide association study of coronary artery disease identifies novel susceptibility genes
Ling Li, Zhifen Chen, Moritz von Scheidt, Andrea Steiner, Ulrich Güldener, Simon Koplev, Angela Ma, Ke Hao, Calvin Pan, Aldons J. Lusis, Shichao Pang, Thorsten Kessler, Raili Ermel, Katyayani Sukhavasi, Arno Ruusalepp, Julien Gagneur, Jeanette Erdmann, Jason C. Kovacic, Johan L.M. Björkegren, Heribert Schunkert
bioRxiv 2021.07.21.453208; doi: https://doi.org/10.1101/2021.07.21.453208
Transcriptome wide association study of coronary artery disease identifies novel susceptibility genes
Ling Li, Zhifen Chen, Moritz von Scheidt, Andrea Steiner, Ulrich Güldener, Simon Koplev, Angela Ma, Ke Hao, Calvin Pan, Aldons J. Lusis, Shichao Pang, Thorsten Kessler, Raili Ermel, Katyayani Sukhavasi, Arno Ruusalepp, Julien Gagneur, Jeanette Erdmann, Jason C. Kovacic, Johan L.M. Björkegren, Heribert Schunkert
bioRxiv 2021.07.21.453208; doi: https://doi.org/10.1101/2021.07.21.453208
Subject Area
Subject Areas
- Biochemistry (11753)
- Bioengineering (8754)
- Bioinformatics (29205)
- Biophysics (14975)
- Cancer Biology (12102)
- Cell Biology (17414)
- Clinical Trials (138)
- Developmental Biology (9423)
- Ecology (14185)
- Epidemiology (2067)
- Evolutionary Biology (18309)
- Genetics (12246)
- Genomics (16805)
- Immunology (11870)
- Microbiology (28098)
- Molecular Biology (11598)
- Neuroscience (60979)
- Paleontology (452)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4960)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7341)
- Zoology (1651)