Meta-analysis of human genome-microbiome association studies: the MiBioGen consortium initiative
- 주제(키워드) Gut microbiome , Genome-wide association studies (GWAS) , Meta-analysis
- 주제(기타) Microbiology
- 설명문(일반) [Wang, Jun] Chinese Acad Sci, Inst Microbiol, CAS Key Lab Pathogen Microbiol & Immunol, Beijing, Peoples R China; [Wang, Jun; Raes, Jeroen] Katholieke Univ Leuven, Univ Leuven, Rega Inst, Dept Microbiol & Immunol, Leuven, Belgium; [Wang, Jun; Raes, Jeroen] VIB Ctr Microbiol, Leuven, Belgium; [Kurilshikov, Alexander; Bonder, Marc Jan; Wijmenga, Cisca; Franke, Lude; Zhernakova, Alexandra] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Groningen, Netherlands; [Radjabzadeh, Djawad; Medina-Gomez, Carolina; Kraaij, Robert] Erasmus MC, Dept Internal Med, Rotterdam, Netherlands; [Turpin, Williams] Univ Toronto, Dept Med, Div Gastroenterol, Toronto, ON, Canada; [Turpin, Williams; Croitoru, Kenneth] Mt Sinai Hosp, Zane Cohen Ctr Digest Dis, Toronto, ON, Canada; [Bonder, Marc Jan] European Bioinformat Inst, European Mol Biol Lab, Hinxton, England; [Jackson, Matthew A.; Spector, Tim D.; Bell, Jordana T.; Steves, Claire J.] Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England; [Medina-Gomez, Carolina] Erasmus MC, Generat R Study Grp, NL-3000 CA Rotterdam, Netherlands; [Medina-Gomez, Carolina] Erasmus MC, Dept Epidemiol, NL-3000 CA Rotterdam, Netherlands; [Frost, Fabian] Univ Med Greifswald, Dept Med A, Greifswald, Germany; [Homuth, Georg; Kacprowski, Tim] Univ Med Greifswald, Interfac Inst Genet & Funct Genom, Dept Funct Genom, Greifswald, Germany; [Ruehlemann, Malte; Franke, Andre] Christian Albrecht Univ Kiel, Inst Clin Mol Biol, Kiel, Germany; [Hughes, David; Timpson, Nicolas] Univ Bristol, MRC, Integrat Epidemiol Unit, Bristol, Avon, England; [Hughes, David; Timpson, Nicolas] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England; [Kim, Han-na] Ewha Woman Univ, Sch Med, Dept Biochem, Seoul, South Korea; [Meyer, Katie] Univ North Carolina Chapel Hill, Nutr Res Inst, Dept Nutr, Kannapolis, NC USA; [Paterson, Andrew D.] Univ Toronto, Dalla Lana Sch Publ Hlth, Div Biostat, Toronto, ON, Canada; [Paterson, Andrew D.] Univ Toronto, Dalla Lana Sch Publ Hlth, Div Epidemiol, Toronto, ON, Canada; [Paterson, Andrew D.] Hosp Sick Children, Res Inst, Genet & Genome Biol, Toronto, ON, Canada
- 등재 SCIE, SCOPUS
- 발행기관 BMC
- 발행년도 2018
- URI http://www.dcollection.net/handler/ewha/000000159722
- 본문언어 영어
- Published As http://dx.doi.org/10.1186/s40168-018-0479-3
초록/요약
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.
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