Evidence map›Paper›PMID 25431006›Full record

ArticleMolecular biology reports2015

Characterization of leptin receptor gene in Bubalus bubalis and association analysis with body measurement traits.

Giovanna De Matteis, Maria Carmela Scatà, Gennaro Catillo, Giuseppina Maria Terzano, Francesco Grandoni, Francesco Napolitano

Abstract read
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In one paragraph

Article in Molecular biology reports, 2015. 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
0.1field-weighted citation impact, top 58% 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, 6 citations in OpenAlex.

  1. Article
  2. TheAnimals : an open access journal from MDPI · 2020
    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 1 institution in 1 country.

Giovanna De MatteisConsiglio per la Ricerca e la sperimentazione in Agricoltura - CRA, PCM, Animal Production Research Centre, Monterotondo, Italy, giovanna.dematteis@entecra.it.
Maria Carmela Scatà
Gennaro Catillo
Giuseppina Maria Terzano
Francesco Grandoni
Francesco Napolitano
Istituto Sperimentale per la Frutticoltura · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leptin has a pleiotropic effect on regulating appetite, energy metabolism, growth, reproduction, body composition and immunity. This property supports leptin and its receptor as candidate genes for evaluating genetic polymorphisms to associate with growth, milk yield and other economic traits. The aim of this study is to characterize the leptin receptor gene in Bubalus bubalis, to identify single-nucleotide polymorphism (SNP) sites in different coding and non-coding regions and to analyse potential associations between SNPs identified and the body measurements traits of growing buffalo heifers. A group of 64 animals were genotyped by direct sequencing and twenty-eight SNPs were detected. A sequence analysis revealed the presence of nine interesting SNPs in gene sequence. The association analysis of polymorphisms with the body measurements traits of growing buffalo heifers shows significant statistical effects on chest depth and sacrum height. Therefore according to the results obtained from this study, the leptin receptor gene appears to have potential effects on the body measurement traits of Bubalus bubalis.

Indexed as

Polymorphism, Single Nucleotide3' Flanking RegionAllelesAnimalsBody Weights and MeasuresBone and BonesBuffaloesFemaleGene FrequencyGenotypeHumansLinkage DisequilibriumReceptors, LeptinRegression AnalysisSequence Analysis, DNAReceptors, Leptin

Identifiers

PMID25431006
OpenAlexW1973118053

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.