A High-Order Cumulant Extension of Quasi-Linkage Equilibrium.

Kai S Shimagaki, Jorge Fernandez-de-Cossio-Diaz, Mauro Pastore, Rémi Monasson, Simona Cocco, John P Barton

Abstract readPreprint

In one paragraph

Article in ArXiv, 2025. 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

6 authors.

Kai S ShimagakiDepartment of Physics and Astronomy, University of Pittsburgh School of Medicine, USA.

Jorge Fernandez-de-Cossio-DiazInstitut de Physique Théorique, Université Paris-Saclay, CNRS, CEA, Gif-sur-Yvette, France.

Mauro PastoreThe Abdus Salam International Centre for Theoretical Physics (ICTP), Strada Costiera 11, 34151 Trieste, Italy.

Rémi MonassonLaboratoire de Physique de École Normale Supérieure, France.

Simona CoccoLaboratoire de Physique de École Normale Supérieure, France.

John P BartonDepartment of Physics and Astronomy, University of Pittsburgh School of Medicine, USA.

Funding

Methods for quantifying selection in evolving populationsR35GM138233 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BARTON, JOHN P · 2020 to 2024

$1.9M

NIGMS NIH HHS R35 GM138233

6 · The paper itself

Abstract

A central question in evolutionary biology is how to quantitatively understand the dynamics of genetically diverse populations. Modeling the genotype distribution is challenging, as it ultimately requires tracking all correlations (or cumulants) among alleles at different loci. The quasi-linkage equilibrium (QLE) approximation simplifies this by assuming that correlations between alleles at different loci are weak - i.e., low linkage disequilibrium - allowing their dynamics to be modeled perturbatively. However, QLE breaks down under strong selection, significant epistatic interactions, or weak recombination. We extend the multilocus QLE framework to allow cumulants up to order

Identifiers

PMID41001573

PMCPMC12458595

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.