Evidence map›Paper›PMID 41573948›Full record

ArticlebioRxiv : the preprint server for biology2026

Weakest link epistasis and the geometry of genetic load.

Florian J F Labourel, Florence Bansept, David M McCandlish

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Florian J F LabourelAix Marseille Université, CNRS, Laboratoire de Chimie Bactérienne (UMR7283), Turing Center for Living Systems, Marseille, France, IMM, IM2B, 13402 Marseille, France.ORCID 0000-0001-6812-3574
Florence BanseptAix Marseille Université, CNRS, Laboratoire de Chimie Bactérienne (UMR7283), Turing Center for Living Systems, Marseille, France, IMM, IM2B, 13402 Marseille, France.ORCID 0000-0003-0562-9222
David M McCandlishSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.

Funding

Computational analysis of complex genetic interactionsR35GM133613 · NIGMS · COLD SPRING HARBOR LABORATORY · PI David Martin McCandlish · 2019 to 2026
$3.5M
NIGMS NIH HHS R35 GM133613
6 · The paper itself

Abstract

Because natural selection must optimise multiple traits at once, previous work has suggested that phenotypic dimensionality can substantially worsen the equilibrium fitness defect of a population relative to the phenotypic optimum. However, it remains unclear how conclusions drawn from classical theoretical phenotype-fitness maps extend to models grounded in explicit biological mechanisms. Here we introduce weakest-link epistasis (WLE), a framework in which fitness is determined by the least-fit phenotypic component, an extreme form of diminishing returns epistasis. We show that in this framework, increasing dimensionality amplifies the load in a manner comparable to, but surprisingly not more than, Fisher's geometric model (FGM). Building on this similarity, we demonstrate why genetic load is often invariant across different rules for combining trait-specific fitness components into an overall organismal fitness. We explore these ideas by considering the family of models where the organismal fitness is determined based on the

Indexed as

adaptationcomplexityepistasisFisher’s geometric modelgenetic driftgenetic load

Identifiers

PMID41573948
PMCPMC12822725

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.