Host genetics and microbiome associations from the lens of genome wide association studies

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
DOI
10.7287/peerj.preprints.26615v1
Subject Areas
Genetics, Microbiology
Keywords
GWAS, microbiome, gut flora, host genetics, association studies, heritability
Copyright
© 2018 Weissbrod et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Weissbrod O, Rothschild D, Barkan E, Segal E. 2018. Host genetics and microbiome associations from the lens of genome wide association studies. PeerJ Preprints 6:e26615v1

Abstract

Recent studies indicate that the gut microbiome is partially heritable, motivating the need to investigate microbiome-host genome associations via microbial genome-wide association studies (mGWAS). Existing mGWAS demonstrate that microbiome-host genotypes associations are typically weak and are spread across multiple variants, similar to associations often observed in genome-wide association studies (GWAS) of complex traits. Here we reconsider mGWAS by viewing them through the lens of GWAS, and demonstrate that there are striking similarities between the challenges and pitfalls faced by the two study designs. We further advocate the mGWAS community to adopt three key lessons learned over the history of GWAS: (a) Adopting uniform data and reporting formats to facilitate replication and meta-analysis efforts; (b) enforcing stringent statistical criteria to reduce the number of false positive findings; and (c) considering the microbiome and the host genome as distinct entities, rather than studying different taxa and single nucleotide polymorphism (SNPs) separately. Finally, we anticipate that mGWAS sample sizes will have to increase by orders of magnitude to reproducibly associate the host genome with the gut microbiome.

Author Comment

This is a preprint submission to PeerJ Preprints.