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Relative abundance data can misrepresent heritability of the microbiome.
Bruijning, Marjolein; Ayroles, Julien F; Henry, Lucas P; Koskella, Britt; Meyer, Kyle M; Metcalf, C Jessica E.
Afiliación
  • Bruijning M; Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1090 GE, Amsterdam, The Netherlands. m.bruijning@uva.nl.
  • Ayroles JF; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA. m.bruijning@uva.nl.
  • Henry LP; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.
  • Koskella B; Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ, 08544, USA.
  • Meyer KM; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.
  • Metcalf CJE; Lewis-Sigler Institute for Integrative Genomics, Princeton, NJ, 08544, USA.
Microbiome ; 11(1): 222, 2023 10 09.
Article en En | MEDLINE | ID: mdl-37814275
BACKGROUND: Host genetics can shape microbiome composition, but to what extent it does, remains unclear. Like any other complex trait, this important question can be addressed by estimating the heritability (h2) of the microbiome-the proportion of variance in the abundance in each taxon that is attributable to host genetic variation. However, unlike most complex traits, microbiome heritability is typically based on relative abundance data, where taxon-specific abundances are expressed as the proportion of the total microbial abundance in a sample. RESULTS: We derived an analytical approximation for the heritability that one obtains when using such relative, and not absolute, abundances, based on an underlying quantitative genetic model for absolute abundances. Based on this, we uncovered three problems that can arise when using relative abundances to estimate microbiome heritability: (1) the interdependency between taxa can lead to imprecise heritability estimates. This problem is most apparent for dominant taxa. (2) Large sample size leads to high false discovery rates. With enough statistical power, the result is a strong overestimation of the number of heritable taxa in a community. (3) Microbial co-abundances lead to biased heritability estimates. CONCLUSIONS: We discuss several potential solutions for advancing the field, focusing on technical and statistical developments, and conclude that caution must be taken when interpreting heritability estimates and comparing values across studies. Video Abstract.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Microbiota Idioma: En Revista: Microbiome Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Microbiota Idioma: En Revista: Microbiome Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos