Evidence map›Paper›PMID 40282291›Full record

ArticleBiology2025

Visualization of Runs of Homozygosity and Classification Using Convolutional Neural Networks.

Siroj Bakoev, Maria Kolosova, Timofey Romanets, Faridun Bakoev, Anatoly Kolosov, Elena Romanets, Anna Korobeinikova, Ilona Bakoeva, Vagif Akhmedli, Lyubov Getmantseva

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Siroj BakoevFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0000-0002-0324-3580
Maria KolosovaFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0000-0003-2979-7108
Timofey RomanetsFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0000-0002-0690-4217
Faridun BakoevFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0009-0001-6312-8947
Anatoly KolosovAll Russian Research Institute of Animal Breeding, Lesnye Polyany 141212, Russia.ORCID 0000-0002-6583-8942
Elena RomanetsFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0000-0003-2824-9564
Anna KorobeinikovaFaculty of Biotechnology, Don State Agrarian University, Persianovsky 346493, Russia.ORCID 0009-0003-0556-9343
Ilona BakoevaFaculty of Biocybernetics and Systems Biology, Russian State Agrarian University-Moscow Agricultural Academy Named After K. A. Timiryazev, Moscow 127434, Russia.ORCID 0009-0007-2827-9006
Vagif AkhmedliAll Russian Research Institute of Animal Breeding, Lesnye Polyany 141212, Russia.ORCID 0009-0006-9199-6270
Lyubov GetmantsevaAll Russian Research Institute of Animal Breeding, Lesnye Polyany 141212, Russia.ORCID 0000-0003-1868-3148

Funding

Russian Science Foundation 23-76-10009 , 22-76-10015
6 · The paper itself

Abstract

Runs of homozygosity (ROH) are key elements of the genetic structure of populations, reflecting inbreeding levels, selection history, and potential associations with phenotypic traits. This study proposes a novel approach to ROH analysis through visualization and classification using convolutional neural networks (CNNs). Genetic data from Large White (n = 568) and Duroc (n = 600) pigs were used to construct ROH maps, where each homozygous segment was classified by length and visualized as a color-coded image. The analysis was conducted in two stages: (1) classification of animals by breed based on ROH maps and (2) identification of the presence or absence of a phenotypic trait (limb defects). Genotyping was performed using the GeneSeek

Indexed as

breedconvolutional neural networks (CNN)deep learningdiseasegenetic architectureimage analysislimb defectspigruns of homozygosity (ROH)traits

Identifiers

PMID40282291
PMCPMC12025119

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.