Evidence map›Paper›PMID 40111087›Full record

ArticleJournal of animal science2025

Technical note: anomaly detection for breed purity analysis in pigs using a single breed genotype panel.

Xiaohan Jiang, Austin Putz, Wen Huang, Juan P Steibel

Abstract read
In one paragraph

Article in Journal of animal science, 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

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

4 authors.

Xiaohan JiangBioinformatic and Computational Biology Program, Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
Austin PutzBioinformatic and Computational Biology Program, Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
Wen HuangDepartment of Animal Science, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-6788-8364
Juan P SteibelBioinformatic and Computational Biology Program, Department of Animal Science, Iowa State University, Ames, IA 50011, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in genotyping technologies have revolutionized our ability to estimate breed composition in pigs. The classical compositional regression used for this purpose requires a multibreed panel to detect crossbreeding and its application is limited to breeds in the panel. Some breed entities may not have access to the multibreed panel but may have access to a single breed panel. We present crossbreeding detection methods based on semi-supervised anomaly detection techniques that use a single-breed genotype panel from purebred animals of interest. By utilizing these methods, we identified and assessed breed outliers within large pig genotype panels.

Indexed as

BreedingGenotypeGenotyping TechniquesAnimalsSwineanomaly detectionbreedpigs

Identifiers

PMID40111087
PMCPMC12056930

What OpenQuestion holds

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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.