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Re-evaluating the relationship between missing heritability and the microbiome

Human genome-wide association studies (GWASs) have recurrently estimated lower heritability estimates than familial studies. Many explanations have been suggested to explain these lower estimates, including that a substantial proportion of genetic variation and gene-by-environment interactions are u...

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Autores principales: Douglas, Gavin M., Bielawski, Joseph P., Langille, Morgan G. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282175/
https://www.ncbi.nlm.nih.gov/pubmed/32513310
http://dx.doi.org/10.1186/s40168-020-00839-4
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author Douglas, Gavin M.
Bielawski, Joseph P.
Langille, Morgan G. I.
author_facet Douglas, Gavin M.
Bielawski, Joseph P.
Langille, Morgan G. I.
author_sort Douglas, Gavin M.
collection PubMed
description Human genome-wide association studies (GWASs) have recurrently estimated lower heritability estimates than familial studies. Many explanations have been suggested to explain these lower estimates, including that a substantial proportion of genetic variation and gene-by-environment interactions are unmeasured in typical GWASs. The human microbiome is potentially related to both of these explanations, but it has been more commonly considered as a source of unmeasured genetic variation. In particular, it has recently been argued that the genetic variation within the human microbiome should be included when estimating trait heritability. We outline issues with this argument, which in its strictest form depends on the holobiont model of human-microbiome interactions. Instead, we argue that the microbiome could be leveraged to help control for environmental variation across a population, although that remains to be determined. We discuss potential approaches that could be explored to determine whether integrating microbiome sequencing data into GWASs is useful.
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spelling pubmed-72821752020-06-10 Re-evaluating the relationship between missing heritability and the microbiome Douglas, Gavin M. Bielawski, Joseph P. Langille, Morgan G. I. Microbiome Commentary Human genome-wide association studies (GWASs) have recurrently estimated lower heritability estimates than familial studies. Many explanations have been suggested to explain these lower estimates, including that a substantial proportion of genetic variation and gene-by-environment interactions are unmeasured in typical GWASs. The human microbiome is potentially related to both of these explanations, but it has been more commonly considered as a source of unmeasured genetic variation. In particular, it has recently been argued that the genetic variation within the human microbiome should be included when estimating trait heritability. We outline issues with this argument, which in its strictest form depends on the holobiont model of human-microbiome interactions. Instead, we argue that the microbiome could be leveraged to help control for environmental variation across a population, although that remains to be determined. We discuss potential approaches that could be explored to determine whether integrating microbiome sequencing data into GWASs is useful. BioMed Central 2020-06-08 /pmc/articles/PMC7282175/ /pubmed/32513310 http://dx.doi.org/10.1186/s40168-020-00839-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Commentary
Douglas, Gavin M.
Bielawski, Joseph P.
Langille, Morgan G. I.
Re-evaluating the relationship between missing heritability and the microbiome
title Re-evaluating the relationship between missing heritability and the microbiome
title_full Re-evaluating the relationship between missing heritability and the microbiome
title_fullStr Re-evaluating the relationship between missing heritability and the microbiome
title_full_unstemmed Re-evaluating the relationship between missing heritability and the microbiome
title_short Re-evaluating the relationship between missing heritability and the microbiome
title_sort re-evaluating the relationship between missing heritability and the microbiome
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282175/
https://www.ncbi.nlm.nih.gov/pubmed/32513310
http://dx.doi.org/10.1186/s40168-020-00839-4
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