Evidence map›Paper›PMID 41604583›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Murine Database of Structural Variants Identifies A Candidate Gene for a Spontaneous Murine Lymphoma Model.

Wenlong Ren, Zhuoqing Fang, Egor Dolzhenko, Christopher T Saunders, Zhuanfen Cheng, Victoria Popic, Gary Peltz

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

7 authors.

Wenlong RenDepartment of Anesthesiology Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA.
Zhuoqing FangDepartment of Anesthesiology Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA.
Egor DolzhenkoPacific Biosciences, Menlo Park, California, USA.
Christopher T SaundersPacific Biosciences, Menlo Park, California, USA.
Zhuanfen ChengDepartment of Anesthesiology Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA.
Victoria PopicBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Gary PeltzDepartment of Anesthesiology Pain and Perioperative Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID https://orcid.org/0000-0001-6191-7697

Funding

Enabling AI-based Mouse Genetic DiscoveryR24OD035408 · OD · STANFORD UNIVERSITY · PI GARY A PELTZ · 2023 to 2026
$3.0M
Cross-platform structural variant discovery with deep learningR01HG012467 · NHGRI · BROAD INSTITUTE, INC. · PI Victoria Popic · 2022 to 2026
$2.9M
AI-based genetic discovery for hearing lossR01DC021133 · NIDCD · STANFORD UNIVERSITY · PI GARY A PELTZ · 2023 to 2026
$2.5M
NHGRI NIH HHS R01 HG012467NIDCD NIH HHS R01 DC021133NIH HHS 1R01DC021133NIH HHS R24 OD035408
6 · The paper itself

Abstract

A more complete map of the pattern of genetic variation among inbred mouse strains is essential for characterizing the genetic architecture of the many available mouse genetic models of important biomedical traits. Although structural variants (SVs) are a major component of genetic variation, they have not been adequately characterized among inbred strains due to methodological limitations. To address this, we generate high-quality long-read sequencing data for 40 inbred strains; and design a pipeline to optimally identify and validate different types of SVs. This generates a database for 40 inbred strains with 573,191 SVs, which include 10,815 duplications and 2,115 inversions, which also has 70 million SNPs and 7.5 million insertions/deletions. Analysis of this SV database identifies an SV that can be one component of a bi-genic model for lymphoma susceptibility in SJL mice, which provides mechanistic insight into the genetic basis for susceptibility to murine (and potentially human) lymphomas.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenomic Structural VariationLymphomaAnimalsDatabases, GeneticDisease Models, AnimalMiceMice, Inbred StrainsPolymorphism, Single Nucleotidemouse geneticsmurine lymphoma modelstructural variants

Identifiers

PMID41604583
PMCPMC13042391

What OpenQuestion holds

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LicenceCC BY
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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.