Meta-analysis of association between c.963A>G single-nucleotide polymorphism on BMP15 gene and litter size in goats
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Published:2022-08-12
Issue:3
Volume:65
Page:309-318
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ISSN:2363-9822
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Container-title:Archives Animal Breeding
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language:en
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Short-container-title:Arch. Anim. Breed.
Author:
Zergani Emel,Rashidi Amir,Rostamzadeh Jalal,Razmkabir Mohammad,Tetens Jens
Abstract
Abstract. Litter size is an important economic trait in the goat industry. Previous
studies on the bone morphogenetic protein 15 (BMP15) gene detected some single-nucleotide polymorphisms (SNPs) such as c.963A>G that
were associated with an increase in ovulation rate and litter size. The aim
of this study was to conduct a meta-analysis on the effect of this
polymorphism on litter size. We gathered and pooled data from five eligible
published studies. To investigate the effect of c.963A>G on
litter size, we utilized four different genetic models assuming dominant
(GG + GA vs. AA), recessive (GG vs. GA + AA), additive (GG vs. AA) and
co-dominant (GG + AA vs. GA) model of inheritance. Data were analyzed under
random-effects models based on the I2 value. Furthermore, sensitivity
analysis was carried out to validate the stability of results. The results
showed that the c.963A>G polymorphism is associated with litter
size when applying a dominant model (standardized mean difference (SMD) is 0.815, 95 % CI [0.170,
1.461], P value = 0.013) and also with an additive model (SMD = 0.755, 95 % CI [0.111, 1.400], P value = 0.022). However, the effect of c.963A>G
polymorphism was not significant under recessive (SMD = 0.186, 95 % CI [−0.195, 4.259], P value = 0.339) and co-dominant (SMD = −0.119, 95 % CI [−0.525, 0.288], P value = 0.568) models. Sensitivity analysis demonstrated
that dropping studies with wide confidence intervals affects overall results
under the assumption of an additive model. The meta-analysis results revealed
that the AA genotype could be positively connected with litter size in goats.
Publisher
Copernicus GmbH
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