Evidence map›Paper›PMID 40475611›Full record

ArticlebioRxiv : the preprint server for biology2025

A Tandem Repeat Atlas for the Genome of Inbred Mouse Strains: A Genetic Variation Resource.

Wenlong Ren, Weida Liu, Zhuoqing Fang, Egor Dolzhenko, Ben Weisburd, Zhuanfen Cheng, Gary Peltz

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

7 authors.

Wenlong RenDepartment of Anesthesia, Pain and Perioperative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Weida LiuDepartment of Anesthesia, Pain and Perioperative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Zhuoqing FangDepartment of Anesthesia, Pain and Perioperative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Egor DolzhenkoPacific Biosciences, Menlo Park, CA, USA.
Ben WeisburdProgram in Medical and Population Genetics, Broad Center for Mendelian Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9898-9109
Zhuanfen ChengDepartment of Anesthesia, Pain and Perioperative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.
Gary PeltzDepartment of Anesthesia, Pain and Perioperative Medicine, School of Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0001-6191-7697

Funding

Enabling AI-based Mouse Genetic DiscoveryR24OD035408 · OD · STANFORD UNIVERSITY · PI GARY A PELTZ · 2023 to 2026
$3.0M
AI-based genetic discovery for hearing lossR01DC021133 · NIDCD · STANFORD UNIVERSITY · PI GARY A PELTZ · 2023 to 2026
$2.5M
NIDCD NIH HHS R01 DC021133NIH HHS R24 OD035408
6 · The paper itself

Abstract

Tandem repeats (TRs) are a significant source of genetic variation in the human population; and TR alleles are responsible for over 60 human genetic diseases and for inter-individual differences in many biomedical traits. Therefore, we utilized long-read sequencing and state of the art computational programs to produce a database with 2,528,854 TRs covering 39 inbred mouse strains. As in humans, murine TRs are abundant and were primarily located in intergenic regions. However, there were important species differences: murine TRs did not have the extensive number of repeat expansions like those associated with human repeat expansion diseases and they were not associated with transposable elements. We demonstrate by analysis of two biomedical phenotypes, which were identified over 40 years ago, that this TR database can enhance our ability to characterize the genetic basis for trait differences among the inbred strains.

Identifiers

PMID40475611
PMCPMC12139781

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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.