A multilocus genetic risk score for obesity: Association with BMI and metabolic alterations in a cohort with severe obesity

Author:

Sag Sabine Julia Maria1,Mueller Stephanie1,Wallner Stefan2,Strack Christina1,Hubauer Ute1,Mohr Margareta1,Zeller Judith1,Loew Thomas3,Rehli Michael4,Wimmer Julia45,Zimmermann Martina Erika6,Maier Lars Siegfried1,Fischer Marcus1,Baessler Andrea1

Affiliation:

1. Clinic for Internal Medicine 2, University Hospital Regensburg, Regensburg, Germany

2. Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany

3. Department of Psychosomatics, University Hospital Regensburg, Regensburg, Germany

4. Clinic for Internal Medicine 3, University Hospital Regensburg, Regensburg, Germany

5. Deutsches Patent- und Markenamt, München, Germany

6. Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.

Abstract

Genome wide association studies have identified numerous single nucleotide polymorphisms (SNPs) associated with obesity, yet effect sizes of individual SNPs are small. Therefore, the aim of our study was to investigate whether a genetic risk score (GRS) comprising risk alleles of SNPs identified in the GIANT consortium meta-analyses shows association with body mass index (BMI) and other BMI related metabolic alterations in a cohort with an extreme phenotype. Genotyping of 93 SNPs was performed in 314 obese individuals (mean BMI 40.5 ± 7.8 kg/m², aged 45 ± 12 years), participating in a standardized weight reduction program, and in 74 lean controls (mean BMI 24.6 ± 3.3 kg/m², aged 41.7 ± 13.4 years). Allele numbers of all 93 SNPs were added to a GRS. Anthropometric parameters, parameters of glucose/insulin and lipid metabolism were assessed standardized after a 12 hours fast. GRS was significantly different between controls and obese individuals (unweighted GRS: 86.6 vs 89.0, P = .002; weighted GRS: 84.9 vs 88.3, P = .005). Furthermore, linear regression analysis showed significant associations of GRS with BMI (P < .0001), weight (P = .0005), waist circumference (P = .0039), fat mass (P < .0001) and epicardial fat thickness (P = .0032), yet with small effect sizes (r² < 0.06). In conclusion, in our study GRS could differentiate between extreme obese and lean individuals, and was associated with BMI and its related traits, yet with small effect sizes.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3