Potential role of Atp5g3 in epigenetic regulation of alcohol preference or obesity from a mouse genomic perspective

Huang, Yue; Wang, L.; Bennett, Beth; Williams, Robert W.; Wang, Y.J.; Gu, Weikuan; Jiao, Yan

doi:10.4238/2013.september.18.1

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…Because of the large number of QTL existing in the GeneNetwork and other databases, double checking with multiple resources will benefit in identification of a reliable QTL. For example, a QTL on mouse chromosome 2 for alcohol preference has been reported in GeneNetwork with a relatively small number of BXD RI strains [19] , the same locus has also been reported from a previously study by Bennett et al [20] . Therefore, it most likely that the RI strain can be used to study the QTL for alcohol preference on chromosome 2.…”

Section: Discussionsupporting

confidence: 63%

Limitation of Number of Strains and Persistence of False Positive Loci in QTL Mapping Using Recombinant Inbred Strains

et al. 2014

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While the identification of causal genes of quantitative trait loci (QTL) remains a difficult problem in the post-genome era, the number of QTL continues to accumulate, mainly identified using the recombinant inbred (RI) strains. Over the last decade, hundreds of publications have reported nearly a thousand QTL identified from RI strains. We hypothesized that the inaccuracy of most of these QTL makes it difficult to identify causal genes. Using data from RI strains derived from C57BL/6J (B6) X DBA/2J (D2), we tested the possibility of detection of reliable QTL with different numbers of strains in the same trait in five different traits. Our results indicated that studies using RI strains of less than 30 in general have a higher probability of failing to detect reliable QTL. Errors in many studies could include false positive loci, switches between QTL with small and major effects, and missing the real major loci. The similar data was obtained from a RI strain population derived from a different pair of parents and a RI strain population of rat. Thus, thousands of reported QTL from studies of RI strains may need to be double-checked for accuracy before proceeding to causal gene identification.

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Section: Discussionsupporting

confidence: 63%

Limitation of Number of Strains and Persistence of False Positive Loci in QTL Mapping Using Recombinant Inbred Strains

et al. 2014

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“…Mitochondrial complex V consists of 19 genes in human. The function of genes involved in complex I and V has been reported, such as mt-ND2 [ 19 ], ATP5E [ 20 ], and ATP5G3 [ 21 , 22 ]. Subunit 2 of NADH dehydrogenase (ND2) is one of genes comprising of mitochondrial complex I [ 23 ], which plays a critical role in controlling the production of the mitochondrial reactive oxygen species in chicken [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

The correlated expression of immune and energy metabolism related genes in the response to Salmonella enterica serovar Enteritidis inoculation in chicken

Wang

Miao

et al. 2020

BMC Vet Res

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Background Salmonella enterica serovar Enteritidis (SE) is one of the food-borne pathogenic bacteria, which affects poultry production and poses severe threat to human health. The correlation of immune system and metabolism in chicken after SE inoculation is important but not clear. In the current study, we identified the expression of immune and energy metabolism related genes using quantitative PCR to evaluate the correlation between immune system and energy metabolism against SE inoculation in Jining Bairi chicken. Results ATP5G1, ATP5G3 and ND2 were significantly up-regulated at 1 dpi (day post inoculation), and ATP5E, ATP5G1, ATP5G3 were significantly down-regulated at 7 dpi ( P < 0.05). IL-8 and IL-1 β were significantly down-regulated at 1 dpi, IL-8 and IL-18 were significantly down-regulated at 3 dpi, IL-8 and BCL10 were significantly up-regulated at 7 dpi ( P < 0.05). Conclusions These findings indicate that the correlation between immune and energy metabolism related genes gradually change with time points post SE inoculation, from one homeostasis to an opposite homeostasis with 3 dpi as a turning point. These results will pave the foundation for the relationship between immune system and energy metabolism in the response to SE inoculation in chicken.

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“…Moreover, our analysis identifies eQTLs for mitochondria associated genes ATP5G3 (rs144768710) and HSPB8 (rs4131847). ATP5G3 is involved in the proton pathway and acts as an energy-driving motor (Huang et al 2013 ; He et al 2017 ; Spataru et al 2019 ). HSPB8 is known to prevent oxidative tissue damage and its expression in serum is used as a biomarker for virus induced type 1 diabetes (Karthik et al 2012 ; Li et al 2017 ; Yu et al 2019 ).…”

Section: Discussionmentioning

confidence: 99%

The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

Ludwig-Słomczyńska

Seweryn

Kapusta

et al. 2021

Mol Med

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Background Clinical data suggest that BMI and gestational weight gain (GWG) are strongly interconnected phenotypes; however, the genetic basis of the latter is rather unclear. Here we aim to find genes and genetic variants which influence BMI and/or GWG. Methods We have genotyped 316 type 1 diabetics using Illumina Infinium Omni Express Exome-8 v1.4 arrays. The GIANT, ARIC and T2D-GENES summary statistics were used for TWAS (performed with PrediXcan) in adipose tissue. Next, the analysis of association of imputed expression with BMI in the general and diabetic cohorts (Analysis 1 and 2) or GWG (Analysis 3 and 4) was performed, followed by variant association analysis (1 Mb around identified loci) with the mentioned phenotypes. Results In Analysis 1 we have found 175 BMI associated genes and 19 variants (p < 10–4) which influenced GWG, with the strongest association for rs11465293 in CCL24 (p = 3.18E−06). Analysis 2, with diabetes included in the model, led to discovery of 1812 BMI associated loci and 207 variants (p < 10–4) influencing GWG, with the strongest association for rs9690213 in PODXL (p = 9.86E−07). In Analysis 3, among 648 GWG associated loci, 2091 variants were associated with BMI (FDR < 0.05). In Analysis 4, 7 variants in GWG associated loci influenced BMI in the ARIC cohort. Conclusions Here, we have shown that loci influencing BMI might have an impact on GWG and GWG associated loci might influence BMI, both in the general and T1DM cohorts. The results suggest that both phenotypes are related to insulin signaling, glucose homeostasis, mitochondrial metabolism, ubiquitinoylation and inflammatory responses.

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Potential role of Atp5g3 in epigenetic regulation of alcohol preference or obesity from a mouse genomic perspective

Cited by 7 publications

References 20 publications

Limitation of Number of Strains and Persistence of False Positive Loci in QTL Mapping Using Recombinant Inbred Strains

Limitation of Number of Strains and Persistence of False Positive Loci in QTL Mapping Using Recombinant Inbred Strains

The correlated expression of immune and energy metabolism related genes in the response to Salmonella enterica serovar Enteritidis inoculation in chicken

The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

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