Meta-analysis of human genome-microbiome association studies: the MiBioGen consortium initiative
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Wang, Jun, et al. Meta-analysis of Human Genome-microbiome Association Studies: the Mibiogen Consortium Initiative. BioMed Central, 2018. https://doi.org/10.17615/8391-2x40APA
Wang, J., Kurilshikov, A., Radjabzadeh, D., Turpin, W., Croitoru, K., Bonder, M., Jackson, M., Medina Gomez, C., Frost, F., Homuth, G., Rühlemann, M., Hughes, D., Kim, H., Spector, T., Bell, J., Steves, C., Timpson, N., Franke, A., Wijmenga, C., Meyer, K., Kacprowski, T., Franke, L., Paterson, A., Raes, J., Kraaij, R., & Zhernakova, A. (2018). Meta-analysis of human genome-microbiome association studies: the MiBioGen consortium initiative. BioMed Central. https://doi.org/10.17615/8391-2x40Chicago
Wang, Jun, Alexander Kurilshikov, Djawad Radjabzadeh, Williams Turpin, Kenneth Croitoru, Marc J Bonder, Matthew A Jackson et al. 2018. Meta-Analysis of Human Genome-Microbiome Association Studies: the Mibiogen Consortium Initiative. BioMed Central. https://doi.org/10.17615/8391-2x40- Creator
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Wang, Jun
- Other Affiliation: CAS Key Laboratory for Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. Department of Microbiology and Immunology, Rega Institute. KU Leuven – University of Leuven, Leuven, Belgium. VIB Center for Microbiology, Leuven, Belgium.
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Kurilshikov, Alexander
- Other Affiliation: Department of Genetics, University of Groningen, University Medical CenterGroningen, Groningen, The Netherlands
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Radjabzadeh, Djawad
- Other Affiliation: Department of Internal Medicine,Erasmus Medical Center, Rotterdam, The Netherlands
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Turpin, Williams
- Other Affiliation: Division ofGastroenterology, Department of Medicine, University of Toronto, Toronto,Ontario, Canada. Zane Cohen Centre for Digestive Diseases, Mount SinaiHospital, Toronto, Ontario, Canada
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Croitoru, Kenneth
- Other Affiliation: Zane Cohen Centre for Digestive Diseases, Mount SinaiHospital, Toronto, Ontario, Canada
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Bonder, Marc J
- Other Affiliation: Department of Genetics, University of Groningen, University Medical CenterGroningen, Groningen, The Netherlands. European Molecular Biology Laboratory,European Bioinformatics Institute, Hinxton, UK
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Jackson, Matthew A
- Other Affiliation: Department of TwinResearch and Genetic Epidemiology, King’s College London, London, UK.
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Medina-Gomez, Carolina
- Other Affiliation: Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands. The Generation R Study Group, Erasmus MC, 3000, CA, Rotterdam, TheNetherlands. Department of Epidemiology, Erasmus MC, 3000, CA, Rotterdam, The Netherlands
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Frost, Fabian
- Other Affiliation: Department of Medicine A, UniversityMedicine Greifswald, Greifswald, Germany
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Homuth, Georg
- Other Affiliation: Department of FunctionalGenomics, Interfaculty Institute for Genetics and Functional Genomics,University Medicine Greifswald, Greifswald, Germany
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Rühlemann, Malte
- Other Affiliation: Institute of ClinicalMolecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
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Hughes, David
- Other Affiliation: MRCIntegrative Epidemiology Unit at University of Bristol, Bristol, UK. PopulationHealth Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Kim, Han-na
- Other Affiliation: Department of Biochemistry, School of Medicine, Ewha Womans University,Seoul, South Korea
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Spector, Tim D
- Other Affiliation: Department of TwinResearch and Genetic Epidemiology, King’s College London, London, UK
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Bell, Jordana T
- Other Affiliation: Research and Genetic Epidemiology, King’s College London, London, UK
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Steves, Claire J
- Other Affiliation: Research and Genetic Epidemiology, King’s College London, London, UK
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Timpson, Nicolas
- Other Affiliation: MRCIntegrative Epidemiology Unit at University of Bristol, Bristol, UK. PopulationHealth Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
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Franke, Andre
- Other Affiliation: Institute of ClinicalMolecular Biology, Christian Albrechts University of Kiel, Kiel, Germany
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Wijmenga, Cisca
- Other Affiliation: Department of Genetics, University of Groningen, University Medical CenterGroningen, Groningen, The Netherlands
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Meyer, Katie
- Affiliation: Nutrition Research Institute
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Kacprowski, Tim
- Other Affiliation: Department of FunctionalGenomics, Interfaculty Institute for Genetics and Functional Genomics,University Medicine Greifswald, Greifswald, Germany
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Franke, Lude
- Other Affiliation: Department of Genetics, University of Groningen, University Medical CenterGroningen, Groningen, The Netherlands
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Paterson, Andrew D
- Other Affiliation: Division ofBiostatistics, Dalla Lana School of Public Health, University of Toronto,Toronto, Ontario, Canada. Division of Epidemiology, Dalla Lana School ofPublic Health, University of Toronto, Toronto, Ontario, Canada. Geneticsand Genome Biology, The Hospital for Sick Children Research Institute, TheHospital for Sick Children, Toronto, Ontario, Canada.
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Raes, Jeroen
- Other Affiliation: Departmentof Microbiology and Immunology, Rega Institute. KU Leuven – University ofLeuven, Leuven, Belgium. VIB Center for Microbiology, Leuven, Belgium.
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Kraaij, Robert
- Other Affiliation: Department of Internal Medicine,Erasmus Medical Center, Rotterdam, The Netherlands
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Zhernakova, Alexandra
- Other Affiliation: Department of Genetics, University of Groningen, University Medical CenterGroningen, Groningen, The Netherlands
- Abstract
- Abstract Background In recent years, human microbiota, especially gut microbiota, have emerged as an important yet complex trait influencing human metabolism, immunology, and diseases. Many studies are investigating the forces underlying the observed variation, including the human genetic variants that shape human microbiota. Several preliminary genome-wide association studies (GWAS) have been completed, but more are necessary to achieve a fuller picture. Results Here, we announce the MiBioGen consortium initiative, which has assembled 18 population-level cohorts and some 19,000 participants. Its aim is to generate new knowledge for the rapidly developing field of microbiota research. Each cohort has surveyed the gut microbiome via 16S rRNA sequencing and genotyped their participants with full-genome SNP arrays. We have standardized the analytical pipelines for both the microbiota phenotypes and genotypes, and all the data have been processed using identical approaches. Our analysis of microbiome composition shows that we can reduce the potential artifacts introduced by technical differences in generating microbiota data. We are now in the process of benchmarking the association tests and performing meta-analyses of genome-wide associations. All pipeline and summary statistics results will be shared using public data repositories. Conclusion We present the largest consortium to date devoted to microbiota-GWAS. We have adapted our analytical pipelines to suit multi-cohort analyses and expect to gain insight into host-microbiota cross-talk at the genome-wide level. And, as an open consortium, we invite more cohorts to join us (by contacting one of the corresponding authors) and to follow the analytical pipeline we have developed.
- Date of publication
- June 8, 2018
- DOI
- Identifier
- Resource type
- Journal Item
- Rights statement
- In Copyright
- Rights holder
- The Author(s).
- Journal title
- Microbiome
- Journal volume
- 6
- Journal issue
- 1
- Page start
- 101
- Language
- English
- Bibliographic citation
- Microbiome. 2018 Jun 08;6(1):101
- Publisher
- BioMed Central
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