scholarly journals A Genome-wide Association Study to Identify Candidate Genes for Metabolic Disorders in Offspring by in Vitro Fertilization

Author(s):  
Lihong Liu ◽  
Siyao HA ◽  
MingQing Li ◽  
Zhiling Li

Abstract BackgroundIn vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. MethodsWe conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. ResultsWe identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. ConclusionsThe impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.

2021 ◽  
Author(s):  
Lihong Liu ◽  
Siyao Ha ◽  
Zhiling Li ◽  
MingQing Li

Abstract In vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. We conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. We identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, confirmed a conserved motif, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. The impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.


2021 ◽  
Author(s):  
Lihong Liu ◽  
Siyao Ha ◽  
Zhiling Li ◽  
MingQing Li

Abstract In vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. We conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. We identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, confirmed a conserved motif, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. The impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.


2021 ◽  
Author(s):  
Lihong Liu ◽  
Siyao Ha ◽  
Zhiling Li ◽  
MingQing Li

Abstract Background In vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. Methods We conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. Results We identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, confirmed a conserved motif, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. Conclusion The impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.


2021 ◽  
Author(s):  
Lihong Liu ◽  
Siyao Ha ◽  
MingQing Li ◽  
Zhiling Li

Abstract Background: In vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. Methods: We conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. Results: We identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. Conclusions: The impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.


2021 ◽  
Author(s):  
Lihong Liu ◽  
Siyao Ha ◽  
Zhiling Li ◽  
MingQing Li

Abstract In vitro fertilization (IVF) processes increase offspring's short-term and long-term health risks, but their mechanisms remain unclear. We conducted a bibliometric analysis to determine the landscape of IVF offspring health. Subsequently, a bioinformatics method was utilized to identify the co-genes properties and biological function mechanisms of IVF and type 2 diabetes mellitus (T2DM). Finally, we predicted compounds against key targets and performed multiple validations of the mechanisms underlying IVF offspring health risks. We identified 15 genes associated with T2DM, and their biological functions are primarily associated with lipid metabolism. We also identified the properties of co-genes, modified characteristics, confirmed a conserved motif, identified 3 SNPs sites, and determined the three core genes, APOA1, APOB, and APOE, which were mainly correlated with metabolic and cardiovascular diseases. In addition, we predicted drugs that may improve metabolic abnormalities in IVF offspring. The impact of aberrant lipid metabolism in offspring after IVF therapy warrants additional investigation, particularly in terms of long-term health consequences and possible mechanisms.


2019 ◽  
Author(s):  
Zachary L. Fuller ◽  
Veronique J.L. Mocellin ◽  
Luke Morris ◽  
Neal Cantin ◽  
Jihanne Shepherd ◽  
...  

AbstractAlthough reef-building corals are rapidly declining worldwide, responses to bleaching vary both within and among species. Because these inter-individual differences are partly heritable, they should in principle be predictable from genomic data. Towards that goal, we generated a chromosome-scale genome assembly for the coral Acropora millepora. We then obtained whole genome sequences for 237 phenotyped samples collected at 12 reefs distributed along the Great Barrier Reef, among which we inferred very little population structure. Scanning the genome for evidence of local adaptation, we detected signatures of long-term balancing selection in the heat-shock co-chaperone sacsin. We further used 213 of the samples to conduct a genome-wide association study of visual bleaching score, incorporating the polygenic score derived from it into a predictive model for bleaching in the wild. These results set the stage for the use of genomics-based approaches in conservation strategies.


2020 ◽  
Vol 6 (43) ◽  
pp. eabb3063
Author(s):  
Wei Xu ◽  
Si-Da Han ◽  
Can Zhang ◽  
Jie-Qiong Li ◽  
Yan-Jiang Wang ◽  
...  

Progranulin (PGRN) is a secreted pleiotropic glycoprotein associated with the development of common neurodegenerative diseases. Understanding the pathophysiological role of PGRN may help uncover biological underpinnings. We performed a genome-wide association study to determine the genetic regulators of cerebrospinal fluid (CSF) PGRN levels. Common variants in region of FAM171A2 were associated with lower CSF PGRN levels (rs708384, P = 3.95 × 10−12). This was replicated in another independent cohort. The rs708384 was associated with increased risk of Alzheimer’s disease, Parkinson’s disease, and frontotemporal dementia and could modify the expression of the FAM171A2 gene. FAM171A2 was considerably expressed in the vascular endothelium and microglia, which are rich in PGRN. The in vitro study further confirmed that the rs708384 mutation up-regulated the expression of FAM171A2, which caused a decrease in the PGRN level. Collectively, genetic, molecular, and bioinformatic findings suggested that FAM171A2 is a key player in regulating PGRN production.


Science ◽  
2007 ◽  
Vol 316 (5829) ◽  
pp. 1341-1345 ◽  
Author(s):  
L. J. Scott ◽  
K. L. Mohlke ◽  
L. L. Bonnycastle ◽  
C. J. Willer ◽  
Y. Li ◽  
...  

Retrovirology ◽  
2009 ◽  
Vol 6 (S2) ◽  
Author(s):  
Julien Guergnon ◽  
◽  
Cyril Dalmasso ◽  
Ioannis Theodorou ◽  
Agostino Riva

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