Evidence map›Paper›PMID 32671121›Full record

ArticleIranian journal of biotechnology2019

Detection of Single-Nucleotide Polymorphism in

Arpan Upadhyay, Atish Kumar Chakravarty, Sachinandan De, Ashok Kumar Gupta, Avtar Singh, A Sakthivel Selvan

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of biotechnology, 2019. 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
0.4field-weighted citation impact, top 29% of its field
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, 5 citations in OpenAlex.

  1. Review
  2. Functional analysis of theAnimal biotechnology · 2024
    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

6 authors at 2 institutions in 1 country.

Arpan UpadhyayKrishi Vigyan Kendra, Jhansi, Banda University of Agriculture and Technology, Banda.
Atish Kumar ChakravartyAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal- 132001, Haryana, India.
Sachinandan DeAnimal Biotechnology Division, ICAR-National Dairy Research Institute, Karnal- 132001, Haryana, India.
Ashok Kumar GuptaAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal- 132001, Haryana, India.
Avtar SinghAnimal Genetics and Breeding Division, ICAR-National Dairy Research Institute, Karnal- 132001, Haryana, India.
A Sakthivel SelvanAnimal Genetics and Breeding Division, Tamil Nadu Veterinary and Animal Sciences University, Chennai- 600051, Tamil Nadu, India.
National Dairy Research Institute · INTamil Nadu Veterinary and Animal Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe bovine

objectivesIdentification of single nucleotide polymorphisms (SNP) in the targeted region of MATERIALS AND

methodsA tetra-primer ARMS PCR technique was adapted to genotype an SNP, g.36,175,805C>T located on 5' flanking region of

resultsThree kinds of genotype (CC, CT, and TT) with respect to g.36,175,805C>T SNP locus were observed. The identified SNP had significant (P<0.05) influence on EBV of fat % (EBV-FP). The KF bulls with CC and CT genotype had comparatively higher EBV-FP than the bulls with the TT genotype. The substitution of "C" allele by "T" allele led to a decrease of 0.0045 % in the EBV-FP.

conclusionThe identified SNP was significantly associated with EBV-FP, thus it may be utilized as a molecular marker for developing marker-assisted selection strategy to enhance the milk fat content in KF cattle population.

Indexed as

AGPAT6 geneAllele substitution effectKaran Fries bullsMilk fat contentSNPT-ARMS PCR

Identifiers

PMID32671121
PMCPMC7357699
OpenAlexW3006552082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.