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Systematic meta-analyses identify differentially expressed microRNAs in Parkinson’s disease

Jessica Schulz, Petros Takousis, Inken Wohlers, Ivie O G Itua, Valerija Dobricic, Harald Binder, Lefkos Middleton, John P A Ioannidis, Robert Perneczky, Lars Bertram, Christina M Lill
doi: https://doi.org/10.1101/253849
Jessica Schulz
1Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
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Petros Takousis
2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
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Inken Wohlers
3Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
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Ivie O G Itua
2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
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Valerija Dobricic
3Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
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Harald Binder
4Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Germany
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Lefkos Middleton
2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
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John P A Ioannidis
5Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, CA 94305, USA
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Robert Perneczky
2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
6Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Germany
7German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
8West London Mental Health NHS Trust, London, UK
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Lars Bertram
2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
3Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
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Christina M Lill
1Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
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Article Information

doi 
https://doi.org/10.1101/253849
History 
  • January 25, 2018.

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  • You are currently viewing Version 1 of this article (January 25, 2018 - 15:57).
  • Version 2 (February 16, 2018 - 10:32).
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Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Jessica Schulz1,$,
  2. Petros Takousis2,$,
  3. Inken Wohlers3,
  4. Ivie O G Itua2,
  5. Valerija Dobricic3,
  6. Harald Binder4,
  7. Lefkos Middleton2,
  8. John P A Ioannidis5,
  9. Robert Perneczky2,6,7,8,
  10. Lars Bertram2,3 and
  11. Christina M Lill1,*
  1. 1Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
  2. 2Neuroepidemiology and Ageing Research Unit, School of Public Health, Imperial College, London, UK
  3. 3Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
  4. 4Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg, Germany
  5. 5Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, CA 94305, USA
  6. 6Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Germany
  7. 7German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
  8. 8West London Mental Health NHS Trust, London, UK
  1. ↵$joint first authors
  2. *Correspondence to: Christina M. Lill, MD, MSc, Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Maria-Goeppert-Str. 1, 23562 Lübeck, Germany, e-mail: christina.lill{at}uni-luebeck.de.
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Posted January 25, 2018.
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Systematic meta-analyses identify differentially expressed microRNAs in Parkinson’s disease
Jessica Schulz, Petros Takousis, Inken Wohlers, Ivie O G Itua, Valerija Dobricic, Harald Binder, Lefkos Middleton, John P A Ioannidis, Robert Perneczky, Lars Bertram, Christina M Lill
bioRxiv 253849; doi: https://doi.org/10.1101/253849
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Systematic meta-analyses identify differentially expressed microRNAs in Parkinson’s disease
Jessica Schulz, Petros Takousis, Inken Wohlers, Ivie O G Itua, Valerija Dobricic, Harald Binder, Lefkos Middleton, John P A Ioannidis, Robert Perneczky, Lars Bertram, Christina M Lill
bioRxiv 253849; doi: https://doi.org/10.1101/253849

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