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

Microbiome

MiBioGen Consortium Initiative¹  Jun Wang²  Han-na Kim³  Georg Homuth⁴  Tim Kacprowski⁴  Marc Jan Bonder⁵  Alexander Kurilshikov⁵  Cisca Wijmenga⁵  Alexandra Zhernakova⁵  Lude Franke⁵  Carolina Medina-Gomez⁶  Robert Kraaij⁶  Djawad Radjabzadeh⁶  Fabian Frost⁷  Jeroen Raes⁸  Katie Meyer⁹  Jordana T. Bell^1,10  Tim D. Spector^1,10  Matthew A. Jackson^1,10  Claire J. Steves^1,10  Andrew D. Paterson^1,11  Williams Turpin^1,12  Andre Franke^1,13  Malte Rühlemann^1,13  David Hughes^1,14  Nicolas Timpson^1,14  Kenneth Croitoru^1,15 

[1] ;CAS Key Laboratory for Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences;Department of Biochemistry, School of Medicine, Ewha Womans University;Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald;Department of Genetics, University of Groningen, University Medical Center Groningen;Department of Internal Medicine, Erasmus Medical Center;Department of Medicine A, University Medicine Greifswald;Department of Microbiology and Immunology, Rega Institute. KU Leuven – University of Leuven;Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill;Department of Twin Research and Genetic Epidemiology, King’s College London;Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto;Division of Gastroenterology, Department of Medicine, University of Toronto;Institute of Clinical Molecular Biology, Christian Albrechts University of Kiel;MRC Integrative Epidemiology Unit at University of Bristol;Zane Cohen Centre for Digestive Diseases, Mount Sinai Hospital;

关键词: Gut microbiome;    Genome-wide association studies (GWAS);    Meta-analysis;   

DOI  :  10.1186/s40168-018-0479-3

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown