Meta-analysis of human genome-microbiome association studies: The MiBioGen consortium initiative

Autor: Andrew Paterson, Jakob Stokholm, Mauro D'Amato, Eco De Geus, Urmo Võsa, Carolina Medina-Gomez, Malte Rühlemann, Serena Sanna, Jeroen Raes, Jingyuan Fu, Marc Jan Bonder, Claire Steves, Zachary Wallen, Chuan He, Jordana Bell, Frank Ulrich Weiss, Casey Finnicum, Tim Kacprowski, Nicholas Timpson, Joanna Szopinska-Tokov, Williams Turpin, Jonathan Thorsen, Matthew Jackson-Wood, Leon Eyrich Jessen, David Hughes, Elin Org, Hamdi Mbarek, Markus M. Lerch, Gonneke Willemsen, Haydeh Payami
Přispěvatelé: Internal medicine, ACS - Diabetes & metabolism, AGEM - Endocrinology, metabolism and nutrition, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Translational Immunology Groningen (TRIGR), Stem Cell Aging Leukemia and Lymphoma (SALL), Internal Medicine, Epidemiology, Erasmus MC other, APH - Methodology, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Netherlands Twin Register (NTR)
0301 basic medicine
Microbiology (medical)
GENETICS
030106 microbiology
Genome-wide association study
Computational biology
Gut flora
Microbiology
lcsh:Microbial ecology
Cohort Studies
03 medical and health sciences
All institutes and research themes of the Radboud University Medical Center
SDG 17 - Partnerships for the Goals
Microbiome Announcement
RNA
Ribosomal
16S
WIDE ASSOCIATION
Humans
Microbiome
Genome-wide association studies (GWAS)
GeneralLiterature_REFERENCE(e.g.
dictionaries
encyclopedias
glossaries)
Genetic association
Gut microbiome
Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7]
biology
Bacteria
Genome
Human
Gastrointestinal Microbiome
Human microbiome
Genetic Variation
biology.organism_classification
3. Good health
Meta-analysis
030104 developmental biology
Research Programm of Donders Centre for Neuroscience
lcsh:QR100-130
Human genome
Genome-Wide Association Study
Zdroj: Microbiome, 6(1):101. BioMed Central Ltd.
Microbiome
Microbiome, 6(1):101
Boomsma, D I, Davies, G E, de Geus, E, Ehli, E A, Finnicum, C T F, Mbarek, H, Willemsen, G & MiBioGen Consortium Initiative 2018, ' Meta-analysis of human genome-microbiome association studies : the MiBioGen consortium initiative ', Microbiome, vol. 6, no. 1, 101, pp. 101 . https://doi.org/10.1186/s40168-018-0479-3
Microbiome, 6
mibiogen 2018, ' Meta-analysis of human genome-microbiome association studies : The MiBioGen consortium initiative ', Microbiome, vol. 6, no. 1, 101 . https://doi.org/10.1186/s40168-018-0479-3
Microbiome, 6:101. BioMed Central Ltd.
Microbiome, Vol 6, Iss 1, Pp 1-7 (2018)
Wang, J, Kurilshikov, A, Radjabzadeh, D, Turpin, W, Croitoru, K, Bonder, M J, Jackson, M A, Medina-Gomez, C, Frost, F, Homuth, G, Rühlemann, M, Hughes, D, Kim, H N, Spector, T D, Bell, J T, Steves, C J, Timpson, N, Franke, A, Wijmenga, C, Meyer, K, Kacprowski, T, Franke, L, Paterson, A D, Raes, J, Kraaij, R & Zhernakova, A 2018, ' Meta-analysis of human genome-microbiome association studies : the MiBioGen consortium initiative ', Microbiome, vol. 6, no. 1, 101 . https://doi.org/10.1186/s40168-018-0479-3
Microbiome, 6(1):101. BioMed Central
ISSN: 2049-2618
DOI: 10.1186/s40168-018-0479-3
Popis: 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. Electronic supplementary material The online version of this article (10.1186/s40168-018-0479-3) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE
Externí odkaz: