Evidence map›Paper›PMID 29329426›Full record

ArticleMolecular biology and evolution2018

A Practical Guide to Estimating the Heritability of Pathogen Traits.

Venelin Mitov, Tanja Stadler

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
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19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  16. Automatic generation of evolutionary hypotheses using mixed Gaussian phylogenetic models.Proceedings of the National Academy of Sciences of the United States of America · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Venelin MitovDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogen traits, such as the virulence of an infection, can vary significantly between patients. A major challenge is to measure the extent to which genetic differences between infecting strains explain the observed variation of the trait. This is quantified by the trait's broad-sense heritability, H2. A recent discrepancy between estimates of the heritability of HIV-virulence has opened a debate on the estimators' accuracy. Here, we show that the discrepancy originates from model limitations and important lifecycle differences between sexually reproducing organisms and transmittable pathogens. In particular, current quantitative genetics methods, such as donor-recipient regression of surveyed serodiscordant couples and the phylogenetic mixed model (PMM), are prone to underestimate H2, because they neglect or do not fit to the loss of resemblance between transmission partners caused by within-host evolution. In a phylogenetic analysis of 8,483 HIV patients from the United Kingdom, we show that the phenotypic correlation between transmission partners decays with the amount of within-host evolution of the virus. We reproduce this pattern in toy-model simulations and show that a phylogenetic Ornstein-Uhlenbeck model (POUMM) outperforms the PMM in capturing this correlation pattern and in quantifying H2. In particular, we show that POUMM outperforms PMM even in simulations without selection-as it captures the mentioned correlation pattern-which has not been appreciated until now. By cross-validating the POUMM estimates with ANOVA on closest phylogenetic pairs, we obtain H2 ≈ 0.2, meaning ∼20% of the variation in HIV-virulence is explained by the virus genome both for European and African data.

Indexed as

ANOVAdonor–recipient regressionHIVOrnstein–Uhlenbeckphylogenetic mixed modelset-point viral load (spVL)

Identifiers

PMID29329426
PMCPMC5850476

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.