Evidence map›Paper›PMID 42578454›Full record

ArticleeLife2026

Divergent

Stefan Zdraljevic, Laura Walter-McNeill, Giancarlo N Bruni, Joshua S Bloom, J B Collins, Daniel H W Leighton, Heriberto Marquez, Noah Alexander, Leonid Kruglyak

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. DivergenteLife · 2026
    Article
  2. Conservative evolution of genetic and genomic features inbioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Stefan Zdraljevic *Department of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0003-2883-4616
Laura Walter-McNeill *Department of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Giancarlo N BruniDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0003-2850-4633
Joshua S BloomDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-7241-1648
J B CollinsDepartment of Biology, Johns Hopkins University, Baltimore, United States.
Daniel H W LeightonDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-1379-0078
Heriberto MarquezDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Noah AlexanderDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.
Leonid KruglyakDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, United States.ORCID https://orcid.org/0000-0002-8065-3057

Funding

Determining the Molecular Chain of Causality Through Which Genetic Variants Affect PhysiologyF32GM145132 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZDRALJEVIC, STEFAN · 2022 to 2023
$144k
Howard Hughes Medical Institute Hanna Gray Fellowship ProgramNIGMS NIH HHS 1F32GM145132-01NIGMS NIH HHS F32 GM145132
6 · The paper itself

Abstract

Toxin-antidote elements (TAs) are selfish DNA sequences that bias their transmission to the next generation. TAs typically consist of two linked genes: a toxin and an antidote. The toxin kills progeny that do not inherit the TA, while the antidote counteracts the toxin in progeny that inherit the TA. We previously discovered two TAs in

Indexed as

AllelesCaenorhabditis elegansCaenorhabditis elegans ProteinsSuppression, GeneticToxins, BiologicalAnimalsCaenorhabditis elegans ProteinsToxins, BiologicalC. elegansevolutionary biologygene drivegeneticsgenomicshyper-divergentself elementtoxin-antidote

Identifiers

PMID42578454
PMCPMC13461147

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.