Evidence map›Paper›PMID 38464063›Full record

ArticlebioRxiv : the preprint server for biology2024

The Updated Mouse Universal Genotyping Array Bioinformatic Pipeline Improves Genetic QC in Laboratory Mice.

Matthew W Blanchard, John Sebastian Sigmon, Jennifer Brennan, Chidima Ahulamibe, Michelle E Allen, Ralph S Baric, Timothy A Bell, Joeseph Farrington, Dominic Ciavatta, Marta Cruz Cisneros and 23 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

33 authors.

Matthew W BlanchardORCID 0000-0003-3977-2115
John Sebastian Sigmon
Jennifer Brennan
Chidima Ahulamibe
Michelle E Allen
Ralph S Baric
Timothy A Bell
Joeseph Farrington
Dominic Ciavatta
Marta Cruz Cisneros
Madison Drushal
Rebecca Fry
Christiann Gaines
Bin Gu
Mark T Heise
Richard Austin Hodges
Tal Kafri
Rachel Lynch
Terry Magnuson
Darla Miller
Caroline E Y Murphy
David Truong Nguyen
Kelsey E Noll
Megan Proulx
Chris Sassetti
Ginger D Shaw
Jeremy M Simon
Myrek Styblo
Lisa Tarantino
Joyce Woo
Fernando Pardo Manuel de Villena

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The MiniMUGA genotyping array is a popular tool for genetic QC of laboratory mice and genotyping of samples from most types of experimental crosses involving laboratory strains, particularly for reduced complexity crosses. The content of the production version of the MiniMUGA array is fixed; however, there is the opportunity to improve array's performance and the associated report's usefulness by leveraging thousands of samples genotyped since the initial description of MiniMUGA in 2020. Here we report our efforts to update and improve marker annotation, increase the number and the reliability of the consensus genotypes for inbred strains and increase the number of constructs that can reliably be detected with MiniMUGA. In addition, we have implemented key changes in the informatics pipeline to identify and quantify the contribution of specific genetic backgrounds to the makeup of a given sample, remove arbitrary thresholds, include the Y Chromosome and mitochondrial genome in the ideogram, and improve robust detection of the presence of commercially available substrains based on diagnostic alleles. Finally, we have made changes to the layout of the report, to simplify the interpretation and completeness of the analysis and added a table summarizing the ideogram. We believe that these changes will be of general interest to the mouse research community and will be instrumental in our goal of improving the rigor and reproducibility of mouse-based biomedical research.

Identifiers

PMID38464063
PMCPMC10925293

What OpenQuestion holds

Textmetadata
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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.