Evidence map›Paper›PMID 39791493›Full record

ArticleAnimal biotechnology2025

Genome wide landscaping of copy number variations for horse inter-breed variability.

Nitesh Kumar Sharma, Prashant Singh, Bibek Saha, Anuradha Bhardwaj, Mir Asif Iquebal, Yash Pal, Varij Nayan, Sarika Jaiswal, Shiv Kumar Giri, Ram Avatar Legha and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal biotechnology, 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

13 authors.

Nitesh Kumar SharmaDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Prashant SinghICAR-National Research Centre on Equines, Hisar, Haryana, India.
Bibek SahaDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Anuradha BhardwajICAR-National Research Centre on Equines, Hisar, Haryana, India.
Mir Asif IquebalDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Yash PalICAR-National Research Centre on Equines, Hisar, Haryana, India.
Varij NayanICAR-Central Institute for Research on Buffaloes, Hisar, Haryana, India.
Sarika JaiswalDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Shiv Kumar GiriDepartment of Biotechnology, Maharaja Agrasen University, Baddi (Solan), Himachal Pradesh, India.
Ram Avatar LeghaICAR-National Research Centre on Equines, Hisar, Haryana, India.
T K BhattacharyaICAR-National Research Centre on Equines, Hisar, Haryana, India.
Dinesh KumarDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
Anil RaiDivision of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number variations (CNVs) have become widely acknowledged as a significant source of genomic variability and phenotypic variance. To understand the genetic variants in horses, CNVs from six Indian horse breeds,

Indexed as

DNA Copy Number VariationsAnimalsBreedingGenomeHorsesCopy number variationcopy number variation regionsequinegenomeweb resource

Identifiers

PMID39791493
PMCPMC12674279

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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.