Literature DB >> 33506291

Meta-analysis of Genetic Structure and Association of Prolactin Gene with Performance Traits in Dairy Cattle in India.

Yogesh C Bangar1, A Magotra2, C S Patil2, N Jindal3.   

Abstract

The present meta-analysis was carried to provide the more reliable estimates of gene frequency and association of Rsa 1 generated candidate genotype of prolactin gene within exon-3 with performance traits in 1198 Indian dairy cows using data from 15 published studies. Six genetic models viz., codominant (AA vs. AB, AA vs. BB and AB vs. BB), dominant (AA+AB vs. BB), completely over dominant (AA+BB vs. AB) and recessive (AA vs. AB+BB) were used to obtain standardized mean difference (SMD) between genotypes. Meta-analysis showed that the gene frequency of A allele (156 bp) was 0.60 (95% confidence interval (CI) 0.54, 0.65). In association analysis, cows with AB genotype [SMD = 0.65, 95% CI 0.00, 1.30] had significantly (P < 0.05) higher lactation milk yield (LMY) as compared to BB genotype, whereas AA and AB genotypes had similar trend. Likewise, AA + AB also had larger effect [SMD = 2.31, 95% CI 0.21, 4.10] on LMY as compared to BB. Cows with AB genotype had significantly lower age at first calving (AFC) with small effect [SMD (AA vs. AB) = 1.38, 95% CI 0.06, 2.70] and medium effect [SMD (AB vs. BB) =  - 3.83, 95% CI - 6.41, - 1.24] as compared to cows with AA and BB genotypes, respectively. This finding was confirmed under dominant and completely over dominant models. In case of fat%, AA genotype showed negative effect (SMD =  - 0.51, 95% CI - 0.84, - 0.17) under recessive model. It was concluded that the propagation of allele A is promising to help dairy farmers to improve the genetic quality of their dairy cows.

Entities:  

Keywords:  Association; Dairy cows; Meta-analysis; Performance traits; Prolactin

Year:  2021        PMID: 33506291     DOI: 10.1007/s10528-021-10031-4

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  8 in total

1.  [Molecular cloning and analysis of bovine prolactin full-long genomic as well as cDNA sequences].

Authors:  Xin Cao; Qiang Wang; Jing-Bin Yan; Fei-Kun Yang; Shu-Zhen Huang; Yi-Tao Zeng
Journal:  Yi Chuan Xue Bao       Date:  2002-09

Review 2.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

3.  Analysis of genetic variation at the prolactin-RsaI (PRL-RsaI) locus in Indian native cattle breeds (Bos indicus).

Authors:  M Sodhi; M Mukesh; B P Mishra; K Parvesh; B K Joshi
Journal:  Biochem Genet       Date:  2010-09-29       Impact factor: 1.890

4.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

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Journal:  Br Med J       Date:  1974-11-09

6.  A meta-analysis on association between CSN3 gene variants and milk yield and composition in cattle.

Authors:  P Mahmoudi; J Rostamzadeh; A Rashidi; E Zergani; M Razmkabir
Journal:  Anim Genet       Date:  2020-02-18       Impact factor: 3.169

7.  Identification of six novel MSH2 and MLH1 germline mutations in HNPCC.

Authors:  Stefan Krüger; Jens Plaschke; Birgit Jeske; Heike Görgens; Steffen R Pistorius; Andrea Bier; Friedmar R Kreuz; Franz Theissig; Daniela E Aust; Hans D Saeger; Hans K Schackert
Journal:  Hum Mutat       Date:  2003-04       Impact factor: 4.878

8.  Polymorphism of the Prolactin Gene and Its Relationship with Milk Production in Gir and Kankrej Cattle.

Authors:  Jainikkumar Bipinchandra Patel; Jenabhai Bhathibhai Chauhan
Journal:  J Nat Sci Biol Med       Date:  2017 Jul-Dec
  8 in total

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