Single-nucleotide polymorphisms and DNA methylation markers associated with central obesity and regulation of body weight

2014 ◽  
Vol 72 (11) ◽  
pp. 673-690 ◽  
Author(s):  
Leticia Goni ◽  
Fermín I Milagro ◽  
Marta Cuervo ◽  
J Alfredo Martínez
Keyword(s):  
Dna Methylation ◽  
Body Weight ◽  
Single Nucleotide Polymorphisms ◽  
Central Obesity ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

scholarly journals Correlating single nucleotide polymorphisms in the myostatin gene with performance traits in rabbit

2016 ◽  
Vol 24 (3) ◽  
pp. 213 ◽  
Author(s):  
E.M. Abdel-Kafy ◽  
S.F. Darwish ◽  
D. ElKhishin
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Single Nucleotide Polymorphisms ◽  
Untranslated Region ◽  
Carcass Traits ◽  
Reproductive Traits ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Mstn Gene ◽  
Positive Effects

The Myostatin (MSTN), or Growth and Differentiation Factor 8 (GDF8), gene has been implicated in the double muscling phenomenon, in which a series of mutations render the gene inactive and unable to properly regulate muscle fibre deposition. Single nucleotide polymorphisms (SNPs) in the MSTN gene have been correlated to production traits, making it a candidate target gene to enhance livestock and fowl productivity. This study aimed to assess any association of three SNPs in the rabbit MSTN gene (c.713T>A in exon 2, c.747+34C>T in intron 2, and c.*194A>G in 3’-untranslated region) and their combinations, with carcass, production and reproductive traits. The investigated traits included individual body weight, daily body weight gain, carcass traits and reproductive traits. The 3 SNPs were screened using PCR-restriction fragment length polymorphism (RFLP)-based analysis and the effects of the different SNP genotypes and their combinations were estimated in a rabbit population. Additionally, additive and dominance effects were estimated for significant traits. The results found no significant association between the c.713 T>A SNP and all the examined traits. Allele T at the c.747+34C>T SNP was only significantly associated (P<0.05) with increased body weight at 12 wk of age. However, for the SNP residing in the 3’ untranslated region (c.*194A>G), allele G was significantly associated (P<0.05) with increased body weight and high growth rate. Genotype GG at the c.*194A>G SNP also had positive effects on most carcass traits. The estimated additive genetic effect for the c.*194A>G SNP was significant (P<0.05) with most body weight, daily gain and carcass traits. No significant association was obtained between any MSTN SNPs and reproductive traits. In the combinations analysis, regardless of the genotypes of SNPs at c.713T>A and c.747+34C>T, GG at the c.*194A>G SNP correlated with highest values in body weight and daily weight gain. In conclusion, the ‘G’ allele at the c.*194A>G SNP had positive effects on growth and carcass traits and so could be used as a favourable allele in planning rabbit selection. Further population-wide studies are necessary to test the association of the c.*194A>G SNP with carcass traits. We also recommend evaluation of the potential effects of the c.*194A>G SNP on MSTN gene expression.

scholarly journals Polymorphisms in the Chicken Growth Differentiation Factor 9 Gene Associated with Reproductive Traits

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Lingbin Liu ◽  
Zhifu Cui ◽  
Qihai Xiao ◽  
Haihan Zhang ◽  
Xiaoling Zhao ◽  
...  
Keyword(s):  
Body Weight ◽  
Single Nucleotide Polymorphisms ◽  
Gene Polymorphisms ◽  
Reproductive Traits ◽  
Missense Mutations ◽  
Nucleotide Polymorphisms ◽  
Rt Pcr ◽  
Single Nucleotide ◽  
Egg Weight ◽  
Growth Differentiation Factor 9

The aim of the study was to investigateGDF9gene polymorphisms and their association with reproductive traits in chicken using DNA sequencing. A total of 279 Dongxiang blue-shelled (DX) chickens and 232 Luhua (LH) chickens were used for validation. We detected 15 single nucleotide polymorphisms (SNPs): nine SNPs were previously unreported in chicken, two were missense mutations, and only three exhibited significant associations with reproductive traits. G.17156387C>T was significantly associated with age at first egg (AFE) and weight of first egg (WFE) in both breeds. Birds carrying the CC genotype exhibited higher AFE and WFE values than those with the TT genotype. The SNP g.17156427A>G exhibited an association with egg weight at 300 days of age (EWTA) in DX but not in LH chickens. The SNP g.17156703A>C affected the AFE and EN (total number of eggs at 300 days of age) in DX chickens. In addition, certain diplotypes significantly affected AFE, BWTA (body weight at 300 days of age), and EN in both breeds. RT-PCR results showed that theGDF9gene was highly expressed in stroma with cortical follicles (STR) and prehierarchal follicles. These results provided further evidence that theGDF9gene is involved in determining reproductive traits in chicken.

Single-nucleotide polymorphisms linked to body weight revealed in growth selected Macrobrachium rosenbergii

2019 ◽  
Vol 27 (2) ◽  
pp. 497-508
Author(s):  
Chandan Haldar ◽  
S. P. Das ◽  
Bindu R. Pillai ◽  
Annam Pavan-Kumar ◽  
P. Gireesh-Babu ◽  
...  
Keyword(s):  
Body Weight ◽  
Single Nucleotide Polymorphisms ◽  
Macrobrachium Rosenbergii ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

scholarly journals Unified variable selection in semi-parametric models

2015 ◽  
Vol 26 (6) ◽  
pp. 2821-2831 ◽  
Author(s):  
William Terry ◽  
Hongmei Zhang ◽  
Arnab Maity ◽  
Hasan Arshad ◽  
Wilfried Karmaus
Keyword(s):  
Dna Methylation ◽  
Single Nucleotide Polymorphisms ◽  
Variable Selection ◽  
Reproducing Kernel ◽  
Allergic Sensitization ◽  
Joint Effect ◽  
Bayesian Variable Selection ◽  
Parametric Models ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

We propose a Bayesian variable selection method in semi-parametric models with applications to genetic and epigenetic data (e.g., single nucleotide polymorphisms and DNA methylation, respectively). The data are individually standardized to reduce heterogeneity and facilitate simultaneous selection of categorical (single nucleotide polymorphisms) and continuous (DNA methylation) variables. The Gaussian reproducing kernel is applied to the transformed data to evaluate joint effect of the variables, which may include complex interactions between, e.g., single nucleotide polymorphisms and DNA methylation. Indicator variables are introduced to the model for the purpose of variable selection. The method is demonstrated and evaluated using simulations under different scenarios. We apply the method to identify informative DNA methylation sites and single nucleotide polymorphisms in a set of genes based on their joint effect on allergic sensitization. The selected single nucleotide polymorphisms and methylation sites have the potential to serve as early markers for allergy prediction, and consequently benefit medical and clinical research to prevent allergy before its manifestation.

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