Evidence map›Paper›PMID 39715884›Full record

ArticleTropical animal health and production2024

Genome-wide association studies of milk composition traits in indicine Badri cattle using ddRAD sequencing approach.

Javid Ur Rahman, Devendra Kumar, Satya Pal Singh, Bijendra Narayan Shahi, Ashis Kumar Ghosh, Aashaq Hussain Dar, Oshin Togla

Abstract read
PubMed Publisher
In one paragraph

Article in Tropical animal health and production, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  2. 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

7 authors.

Javid Ur RahmanDapartment of Animal Genetics and Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India. drjavid763@gmail.com.ORCID http://orcid.org/0000-0002-5190-6019
Devendra KumarDapartment of Animal Genetics and Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.
Satya Pal SinghDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.
Bijendra Narayan ShahiDapartment of Animal Genetics and Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.
Ashis Kumar GhoshDapartment of Animal Genetics and Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.
Aashaq Hussain DarDepartment of Livestock Production and Management, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.
Oshin ToglaDivision of Animal Genetics and Breeding, ICAR-National Dairy Research Institute, Karnal, Haryana, 132001, India.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/BI/01/069/2018Indian Council of Agricultural Research 2018Indian Council of Agricultural Research Ag. Edn. 2(9)/2018-HRD dated 30th October
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) offer potential for discovering genomic regions that can be exploited to increase milk production. However, available GWAS and single nucleotide polymorphism (SNP) datasets are heavily skewed towards taurine breeds, which restricts their utility for genomic research in indicine cattle breeds. This study conducts a GWAS on the Badri breed of Indicine cattle to estimate variance components and identify significant variants associated with milk composition traits, utilizing double digest restriction-site associated DNA (ddRAD) sequencing data. A total of 65,483 high-confidence SNPs were identified and utilized to conduct GWAS on various milk composition traits, including fat percent (FP), protein percent (PP), casein percent (CP), lactose percent (LP), glucose percent (GP), galactose percent (GLP), total solids percent (TS), and solids-not-fat percent (SNF), each analysed separately. The heritability estimates for the studied milk composition traits were 0.386 for fat percent (FP), 0.427 for protein percent (PP), 0.469 for casein percent (CP), 0.567 for lactose percent (LP), 0.547 for glucose percent (GP), 0.590 for galactose percent (GLP), 0.437 for total solids percent (TS), and 0.476 for solids-not-fat percent (SNF). Several genomic regions and candidate genes, including SLC9A9, LPP, C2H2orf76, LGSN, HMGCS2, Bv1, SCYL2, PLAC8, SRGAP2, CR2, ZNF787, OTUB2, DSC2, SYNPO2, and CTNNA3 which may have a potential role in regulating milk production in indicine cattle were identified. The high confidence SNPs and candidate genes will be an important inclusion into commercial genotyping arrays for the early and best selection of breeding animals for desired milk composition and improved production.

Indexed as

Genome-Wide Association StudyMilkPolymorphism, Single NucleotideAnimalsCattleFemaleSequence Analysis, DNABos indicusCandidate genesGWASMilk composition traitsSNP

Identifiers

What Socratic 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 Socratic graph.