Associations between ADIPOQ polymorphisms and coronary artery disease: a meta-analysis

Zhang, Xia; Cao, Yan; Zhang, Hong Yu; Cong, Hongliang; Zhang, Jian

doi:10.1186/s12872-019-1041-3

Cited by 10 publications

(6 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These genes all have negative SLPs, suggesting that rare variants impacting their functioning might tend to be protective against hyperlipidaemia. ADIPOQ (SLP=-1.37) codes for adiponectin, an adipokine which is expressed in adipocytes which influences fat metabolism, and common variants in the gene are associated with cardiovascular disease risk and lipid levels (Liu et al, 2018;Salazar-Tortosa et al, 2020;Wang et al, 2019;Zhang et al, 2019). Adiponectin has a hypoglycaemic effect and can reverse the insulin resistance associated with both lipoatrophy and obesity (Berg et al, 2001;Yamauchi et al, 2001).…”

Section: Resultsmentioning

confidence: 99%

Analysis of exome-sequenced UK Biobank subjects implicates genes affecting risk of hyperlipidaemia

Curtis

2020

Molecular Genetics and Metabolism

View full text Add to dashboard Cite

Rare genetic variants in LDLR, APOB and PCSK9 are known causes of familial hypercholesterolaemia and it is expected that rare variants in other genes will also have effects on hyperlipidaemia risk although such genes remain to be identified. The UK Biobank consists of a sample of 500,000 volunteers and exome sequence data is available for 50,000 of them. 11,490 of these were classified as hyperlipidaemia cases on the basis of having a relevant diagnosis recorded and/or taking lipidlowering medication while the remaining 38,463 were treated as controls. Variants in each gene were assigned weights according to rarity and predicted impact and overall weighted burden scores were compared between cases and controls, including population principal components as covariates. One biologically plausible gene, HUWE1, produced statistically significant evidence for association after correction for testing 22,028 genes with a signed log10 p value (SLP) of -6.15, suggesting a protective effect of variants in this gene. Other genes with uncorrected p<0.001 are arguably also of interest, including LDLR (SLP=3.67), RBP2 (SLP=3.14), NPFFR1 (SLP=3.02) and ACOT9 (SLP=-3.19). Gene set analysis indicated that rare variants in genes involved in metabolism and energy can influence hyperlipidaemia risk. Overall, the results provide some leads which might be followed up with functional studies and which could be tested in additional data sets as these become available. This research has been conducted using the UK Biobank Resource.

show abstract

Section: Resultsmentioning

confidence: 99%

Analysis of exome-sequenced UK Biobank subjects implicates genes affecting risk of hyperlipidaemia

Curtis

2020

Molecular Genetics and Metabolism

View full text Add to dashboard Cite

show abstract

“…[ 49 ] Besides, phytosterols compete for the Neiman Pick C1‐Like 1 transporter on enterocytes with exogenous intestinal cholesterol, then reducing cholesterol absorption. [ 50 ] Adiponectin plays an anti‐atherogenic role by regulating lipid metabolism, [ 51 ] and ADIPOQ is a lipid cytokine that regulates energy and substance metabolism, and the high activity of ADIPOQ gene is one of the key factors contributing to adiponectin production. [ 52 ] ADIPOQ has anti‐inflammatory and anti‐insulin resistance effects.…”

Section: Discussionmentioning

confidence: 99%

The Interaction of Dietary Patterns and Genetic Variants on the Risk of Cardiovascular Diseases in Chinese Patients with Type 2 Diabetes

Zhang,

Chen,

et al. 2023

Molecular Nutrition Food Res

View full text Add to dashboard Cite

ScopeDiabetes is an important risk factor for cardiovascular disease (CVD), which in turn is the most common and serious complication of diabetes. This study analyzes dietary patterns and single nucleotide polymorphisms (SNPs) in 543 diabetes patients with new‐onset cardiovascular events and 461 diabetic patients without.Methods and resultsSNPs are determined and analyzed using real time PCR and gene chip method. Factor analysis and logistic regression are used to determine dietary patterns and evaluate the level of associations and interaction effects, respectively. The legumes and edible fungi pattern and vegetable pattern show a significant negative correlation with complication risk. ADIPOQ rs37563 and legumes and edible fungi pattern have a significant interactive effect on disease, and patients with a high score of C polymorphism genotype (GC + CC) have a lower risk of disease. 5‐10‐Methylenetetrahydrofolate reductase (MTHFR) rs1801131 and vegetable pattern have a borderline interaction effect on disease, and those patients with TT genotype have a lower risk of disease.ConclusionThese findings provide new insights into the role of the interactive protection of dietary patterns and SNPs. And participants with specific alleles show a lower risk of cardiovascular complications.

show abstract

“…The meta-analyses stated that the allele of variant G rs2241766 was negatively associated with the risk of metabolically controlled obesity; the allele of variant T rs1501299 displayed a decrease in the chances for metabolically controlled obesity and metabolically uncontrolled normal weight in the Chinese population [ 25 ]. Additionally, according to the study of Howlader et al [ 6 ], two single-nucleotide polymorphisms of ADIPOQ (rs2241766 and rs1501299) were associated with the risk of dyslipidemia; polymorphism rs1501299 was significantly associated with a susceptibility to ischemic heart disease in East Asia polymorphism rs2241766 was directly related to ischemic heart disease in Europe, East Asia and South Asia [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Polymorphism in Adiponectin and Adiponectin Receptor Genes in Diabetes Mellitus Pathogenesis

et al. 2022

View full text Add to dashboard Cite

The role played by hereditary factors in the development of diabetes mellitus type 2 (DM2) has not yet been fully established. Therefore, the purpose of our study was to investigate the prevalence of adiponectin and polymorphism in its gene receptors in connection with the primary symptoms of DM2 pathogenesis. Genomic DNA was isolated from the whole blood of 94 patients with an established diagnosis of DM2 using the phenol–chloroform method. Gene polymorphisms were determined using real-time polymerase chain reaction (PCR). The most common polymorphic variants in patients with DM2 were the genotypes AA (rs11061971) and GG (rs16928751) on the ADIPOR2 gene. A strong correlation was found between the rs16928751 polymorphism on the ADIPOR2 gene and increased body mass index (BMI). TG (rs2275737) ADIPOR1 gene genotype carriers were found to have the highest levels of glycosylated hemoglobin (HbA1), whereas TT (rs2275738) caused stable hyperglycemia. In addition, the rs16928751 ADIPOR2 gene polymorphism showed an association with the development of key mechanisms of DM2 in the Russian population, although a number of genomic searches failed to show any association of this gene with DM2. Unique gene variants associated with the risk of developing DM2 in the Crimean population were established.

show abstract

Associations between ADIPOQ polymorphisms and coronary artery disease: a meta-analysis

Cited by 10 publications

References 29 publications

Analysis of exome-sequenced UK Biobank subjects implicates genes affecting risk of hyperlipidaemia

Analysis of exome-sequenced UK Biobank subjects implicates genes affecting risk of hyperlipidaemia

The Interaction of Dietary Patterns and Genetic Variants on the Risk of Cardiovascular Diseases in Chinese Patients with Type 2 Diabetes

Polymorphism in Adiponectin and Adiponectin Receptor Genes in Diabetes Mellitus Pathogenesis

Contact Info

Product

Resources

About