Evidence map›Paper›PMID 40034122›Full record

ArticleiScience2025

Pangenome reconstruction in rats enhances genotype-phenotype mapping and variant discovery.

Flavia Villani, Andrea Guarracino, Rachel R Ward, Tomomi Green, Madeleine Emms, Michal Pravenec, Burt Sharp, Pjotr Prins, Erik Garrison, Robert W Williams and 2 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Flavia VillaniDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Andrea GuarracinoDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Rachel R WardDepartment of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA.
Tomomi GreenDepartment of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA.
Madeleine EmmsInstitute of Genetics and Biophysics, National Research Council, 80111 Naples, Italy.
Michal PravenecInstitute of Physiology, Czech Academy of Sciences, 14200 Prague, Czech Republic.
Burt SharpDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Pjotr PrinsDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Erik GarrisonDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Robert W WilliamsDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.
Hao ChenDepartment of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN, USA.
Vincenza ColonnaDepartment of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HXB/BXH family of recombinant inbred rat strains is a unique genetic resource that has been extensively phenotyped over 25 years, resulting in a vast dataset of quantitative molecular and physiological phenotypes. We built a pangenome graph from 10x Genomics Linked-Read data for 31 recombinant inbred rats to study genetic variation and association mapping. The pangenome includes 0.2Gb of sequence that is not present the reference mRatBN7.2, confirming the capture of substantial additional variation. We validated variants in challenging regions, including complex structural variants resolving into multiple haplotypes. Phenome-wide association analysis of validated SNPs uncovered variants associated with glucose/insulin levels and hippocampal gene expression. We propose an interaction between

Indexed as

Association analysisGenomicsModel organismQuantitative genetics

Identifiers

PMID40034122
PMCPMC11875200

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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.