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Association of the NEGR1 rs2815752 with obesity and related traits in Pakistani females.
Upsala Journal of Medical Sciences ( IF 1.5 ) Pub Date : 2020-05-18 , DOI: 10.1080/03009734.2020.1756996
Sobia Rana 1 , Maha Mobin 1
Affiliation  

Abstract

Introduction: The variant NEGR1 rs2815752 has recently been linked with obesity in Caucasians. However, a very limited number of studies have examined the association of the NEGR1 rs2815752 with overweight/obesity in non-Caucasians with no such study ever performed in Pakistani population. Therefore, the present study was undertaken to seek the association of the rs2815752 with overweight, obesity, and related traits in Pakistanis.

Subjects and methods: The study involved 112 overweight/control pairs (total 224) and 194 obese/control pairs (total 388). Anthropometric parameters were measured by employing standard procedures. Metabolic parameters were determined by biochemical assays. Behavioral information was collected through a questionnaire. The rs2815752 was genotyped via TaqMan allelic discrimination assay. Regression analyses were employed to analyze the data in SPSS software.

Results: The study revealed significant gender-specific association of the rs2815752 with obesity (OR 3.03; CI 1.19–7.72, p = 0.020) and some obesity-related anomalous anthropometric traits (weight, BMI, waist circumference, hip circumference, and abdominal and supra-iliac skinfold thicknesses) in females according to dominant model (h = 0.023). However, no association of the rs2815752 with obesity-related behavioral and metabolic parameters was observed.

Conclusion: The NEGR1 rs2815752 may be associated with obese phenotype and some of the related anthropometric traits in Pakistani females.



中文翻译:


NEGR1 rs2815752 与巴基斯坦女性肥胖及相关特征的关联。


 抽象的


简介:最近发现变异NEGR1 rs2815752 与白种人的肥胖有关。然而,只有非常有限的研究在非白种人中检验了NEGR1 rs2815752 与超重/肥胖的关联,但尚未在巴基斯坦人群中进行过此类研究。因此,本研究旨在寻找 rs2815752 与巴基斯坦人超重、肥胖和相关特征的关联。


对象和方法:该研究涉及 112 对超重/对照组(总共 224 组)和 194 组肥胖/对照组(总共 388 组)。采用标准程序测量人体测量参数。通过生化测定确定代谢参数。通过问卷调查收集行为信息。通过 TaqMan 等位基因区分测定对 rs2815752 进行基因分型。采用回归分析在SPSS软件中对数据进行分析。


结果:研究揭示了 rs2815752 与肥胖之间存在显着的性别相关性(OR 3.03;CI 1.19-7.72, p = 0.020)以及一些与肥胖相关的异常人体测量特征(体重、BMI、腰围、臀围、腹围和腹围)。根据主导模型( h = 0.023),女性的髂上皮褶厚度)。然而,没有观察到 rs2815752 与肥胖相关行为和代谢参数的关联。


结论: NEGR1 rs2815752 可能与巴基斯坦女性的肥胖表型和一些相关的人体测量特征有关。

更新日期:2020-07-09
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