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Meta-analysis of association between c.963A > G single-nucleotide polymorphism on BMP15 gene and litter size in goats
Date Issued
2022
Author(s)
DOI
10.5194/aab-65-309-2022
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.
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.
