ArticleMeta gene2014
Evaluating the association of APOA2 polymorphism with insulin resistance in adolescents.
Article in Meta gene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Genetic polymorphisms associated with obesity in the Arab world: a systematic review.International journal of obesity (2005) · 2021Pooled it
- The relationship of genetic signature for cardiometabolic risk with biomarkers of inflammatory and oxidative stress in diabetic patients.BMC endocrine disorders · 2025Article
- Truncated variant rs373056577 confers increased risk of type 2 diabetes and missense variant rs121912717 is associated with hypertriglyceridemia in Bangladeshi population.Metabolism open · 2025Article
- Closer to the Reality-Proteome Changes Evoked by Endometrial Scratching in Fertile Females.International journal of molecular sciences · 2023Article
- Dietary acid load modifies the effects of ApoA2-265 T > C polymorphism on lipid profile and serum leptin and ghrelin levels among type 2 diabetic patients.BMC endocrine disorders · 2022Article
- Apolipoprotein A-II, a Player in Multiple Processes and Diseases.Biomedicines · 2022Review
- The phenotypic and transcriptomic effects of developmental exposure to nanomolar levels of estrone and bisphenol A in zebrafish.The Science of the total environment · 2021Article
- Identification of Proteins Associated with the Early Restoration of Insulin Sensitivity After Biliopancreatic Diversion.The Journal of clinical endocrinology and metabolism · 2020Article
- Association between theBiomedicines · 2020Article
- Generation of Gene-Knockout Mongolian Gerbils via CRISPR/Cas9 System.Frontiers in bioengineering and biotechnology · 2020Article
- Beta-cell function and insulin resistance among Peruvian adolescents with type 2 diabetes.Journal of clinical & translational endocrinology · 2016Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background265T>C SNP in the APOA-II gene promoter may be associated with obesity risk and insulin resistance (IR). This study aims to analyze the association between the APOA2 - 265T>C SNP and risk for obesity and IR in adolescents. MATERIAL AND
methodsThe study was conducted on 500 adolescents. They were 240 obese and 260 non-obese individuals, aged 16-21 years old. Their mean age was 18.25 ± 2.54 years. Variables examined body weight, height, waist circumference (WC), systolic and diastolic blood pressure (BP), body fat percentage (BF%), and abdominal visceral fat layer. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used as a biomarker for IR. BF% was assessed by body composition analyzer and abdominal visceral fat thickness was determined by ultrasonography. The APOA2 - 265T>C polymorphism genotype was analyzed by PCR amplification of a 273-bp fragment.
resultsGenotype frequencies were in Hardy-Weinberg equilibrium. The frequency of the mutant C allele was significantly higher in obese cases than non-obese cases. After multivariate adjustment, waist, BF%, visceral adipose layer and HOMA-IR were significantly higher in homozygous allele CC carriers than TT + TC carriers. Homozygous individuals for the CC allele had statistically higher values of energy intake, total fat (g/day) and saturated fat (SATFAT) than carriers of the T allele.
conclusionsHomozygous individuals for the C allele had higher obesity risk than carriers of the T allele and had elevated levels of visceral adipose tissue. Moreover, the present study shows that the CC polymorphism is associated with the development of IR [OR 1.89 (1.35-2.91), P = .012] and remains significant after adjusting for gender, age and body mass index.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.