Evidence map›Paper›PMID 40047962›Full record

ArticleTropical animal health and production2025

Exploring genetic variants affecting milk production traits through genome-wide association study in Vrindavani crossbred cattle of India.

Munish Gangwar, Subodh Kumar, Sheikh Firdous Ahmad, Akansha Singh, Swati Agarwal, Anitta P L, Celus C S, Amit Kumar

Abstract read
PubMed Publisher
In one paragraph

Article in Tropical animal health and production, 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. The role ofArchives animal breeding · 2026
    Article
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

8 authors.

Munish Gangwar *Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.
Subodh KumarDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India. Subkum@gmail.com.
Sheikh Firdous Ahmad *Division of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India. firdousa61@gmail.com.ORCID http://orcid.org/0000-0002-7114-0882
Akansha SinghDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.
Swati AgarwalDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.
Anitta P LDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.
Celus C SDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.
Amit KumarDivision of Animal Genetics, ICAR-Indian Veterinary Research Institute, Izatnangar, Bareilly, 243 122, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study delves into the relationship between single nucleotide polymorphisms (SNPs) and production performance, employing genome-wide association study (GWAS) approach. A total of 96 randomly selected Vrindavani cows were genotyped with Illumina Bovine 50K BeadChip platform. The study employed a linear regression model within the PLINK program, with an attempt to associate genome-wide SNP markers with key production traits i.e., total lactation milk yield (TLMY), lactation length (LL), and peak yield (PY) across the first three lactations. The study involved mining relevant databases to uncover biological pathways linked to genes and quantitative trait loci (QTLs) affecting production performance of cows. The results revealed 70 SNP markers dispersed across various chromosomes that showed profound impact on the variation in TLMY (21 SNPs), LL (10 SNPs), and PY (39 SNPs). The GWAS approach uncovered novel/ potential candidate genes such as PTPRT, RBMS3, CENPE, IFNT, ESR1, ARMC1, LCORL, MED28, NCAPG, LAP3, MYH9, ITPR2, IFNT, ETV6, PARVB, ARNTL2, and PLA2G12A that showed association with different economic traits. These significant SNPs and genes hold relevance for production traits, besides offering valuable insights into potential biomarkers for enhancing production performance in bovine populations.

Indexed as

LactationMilkPolymorphism, Single NucleotideAnimalsCattleFemaleGenome-Wide Association StudyGenotypeIndiaQuantitative Trait LociGWASInteraction networkLactationPLINK: QTLVrindavani

Identifiers

PMID40047962

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.