Evidence map›Paper›PMID 42870297›Full record

ArticleBMC research notes2026

Integration of Collaborative Cross and Hybrid Mouse Diversity Panel studies does not significantly improve genome wide association study results.

Christoph D Rau

Abstract read
In one paragraph

Article in BMC research notes, 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

1 author.

Christoph D RauDepartment of Genetics and Computational Medicine Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. ChristophRau@unc.edu.ORCID 0000-0002-0782-207X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies rely on maximizing cohort size and minimizing environmental noise to increase their efficacy. Model organism Genetic Reference Populations offer significantly reduced environmental noise and deep phenotyping, yet rarely are multiple populations merged together. We evaluated whether combining the Collaborative Cross (CC) and Hybrid Mouse Diversity Panel (HMDP), two well-studied murine Genetic Reference Populations would improve GWAS outcomes. Utilizing two prior studies by our group that had performed the same study for heart failure in each cohort, we examined each cohort individually and then together using the pyLMM GWAS algorithm. Surprisingly, the combined cohort of 175 strains produced only 123 loci, a modest gain over the 104-strain HMDP (114), and fewer than in the 71-strain CC (149) and did not systematically improve resolution. Locus overlap between the CC and HMDP cohorts was very sparse, with only a single locus (near Eprs1) found to be significant in each cohort, although nearly half of all combined loci were also found in the CC cohort. These results caution that merging divergent GRPs may act to dilute signal and complicate interpretation, despite larger sample sizes.

Indexed as

Collaborative Cross MiceGenome-Wide Association StudyAnimalsGenetic VariationMicePhenotypePolymorphism, Single NucleotideCollaborative CrossGenetic Reference PopulationsGWASHybrid Mouse Diversity PanelMapping resolution

Identifiers

PMID42870297
PMCPMC13663072

What OpenQuestion holds

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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.