2020
DOI: 10.14715/cmb/2020.66.3.9
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Association of a genetic variant in the AKT gene locus and cardiovascular risk factors

Abstract: Cardiovascular disease (CVDs) is the leading cause of morbidity and death worldwide. Most genetic variants could be identified by several genome-wide-association-studies (GWAS), including within genes encoding proteins involved in the AKT/PI3K pathways that are related with an increased risk of metabolic syndrome and CVDs. Therefore, due to the importance of genetic variants in the prognosis of diseases, we examined the genetic polymorphism of AKT-rs1130233 located on chromosome 14 with cardiovascular risk fac… Show more

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Cited by 2 publications
(2 citation statements)
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“…No association of rs1130233 polymorphism with NAFLD susceptibility was found in this study, although Eshaghi et al 21 revealed that rs1130233 was connected to key metabolic syndrome markers as hs-CRP and BMI. Genotyping of Iranians showed that AKT1 rs1130233 was not linked to an increased risk of cardiovascular disease or the metabolic syndrome, 45 which is similar to our findings. Therefore, whether rs1130233 is associated with susceptibility to NAFLD remains to be explored.…”
Section: Discussionsupporting
confidence: 89%
“…No association of rs1130233 polymorphism with NAFLD susceptibility was found in this study, although Eshaghi et al 21 revealed that rs1130233 was connected to key metabolic syndrome markers as hs-CRP and BMI. Genotyping of Iranians showed that AKT1 rs1130233 was not linked to an increased risk of cardiovascular disease or the metabolic syndrome, 45 which is similar to our findings. Therefore, whether rs1130233 is associated with susceptibility to NAFLD remains to be explored.…”
Section: Discussionsupporting
confidence: 89%
“…Although these studies are helpful for understanding the genetic architecture of senescence, it is difficult to identify the underlying genes owing to a lack of resolution. In the past decade, genome-wide association studies (GWAS) have become a powerful method for detecting quantitative trait loci and candidate genes at the genome-wide level [ 31 , 32 , 33 , 34 ]. In a recent study, 25 candidate genes for chlorophyll content (CC) and stay-green (SG) traits were identified using a diverse population of 368 rice accessions via GWAS [ 35 ].…”
Section: Introductionmentioning
confidence: 99%