Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health


Author index

Page Path
HOME > Browse articles > Author index
Jungyong Park 3 Articles
ADIPOQ Gene Variants Associated with Susceptibility to Obesity and Low Serum Adiponectin Levels in Healthy Koreans
Ji Wan Park, Jungyong Park, Sun Ha Jee
Epidemiol Health. 2011;33:e2011003.   Published online April 25, 2011
  • 14,656 View
  • 116 Download
  • 17 Citations
AbstractAbstract PDF

This study aimed to measure the association between the adiponectin, C1Q and collagen domain-containing (ADIPOQ) gene variants and obesity in Koreans.


Three single nucleotide polymorphisms located in the ADIPOQ gene were genotyped in a population-based cross-sectional study of 986 healthy Koreans. Three different case-control groups (i.e. G1, G2, and G3) were defined according to body mass index (BMI) and serum adiponectin levels. Allelic and genotypic associations of this gene with obesity were measured using multivariate logistic regression analyses in each group.


The G allele of -11377C>G, a polymorphism located in the promoter region of the ADIPOQ gene (odds ratio (OR), 1.48; 95% confidence interval, 1.13-1.94) and most haplotypes including this allele significantly increased the risk for obesity. However, the OR decreased from 3.98 (G1 group) to 2.90 (G2 group) and 2.30 (G3 group) when a less strict definition of obesity was used. Most haplotypes, including this allele, significantly increased the risk of obesity. The statistical evidence from the GG genotype of -11377C>G (OR, 3.98) and the GT/GT diplotype composed of -11377G>C and +45T>G (OR, 5.20) confirmed the contribution of the G allele toward a predisposition for obesity.


These results suggest the contribution of the ADIPOQ gene toward susceptibility to obesity in healthy Koreans. The high-risk genotypes and haplotypes identified here may provide more information for identifying individuals who are at risk of obesity.

Korean summary
Key Message


Citations to this article as recorded by  
  • Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort
    Muhammad Saqlain, Madiha Khalid, Muhammad Fiaz, Sadia Saeed, Asad Mehmood Raja, Muhammad Mobeen Zafar, Tahzeeb Fatima, João Bosco Pesquero, Cristina Maglio, Hadi Valadi, Muhammad Nawaz, Ghazala Kaukab Raja, Nidaa Ababneh
    PLOS ONE.2022; 17(9): e0274904.     CrossRef
  • Association of the ADIPOQ-AS LncRNA polymorphism rs2241766 with obesity: A Meta-analysis
    M.N. Ammar, L. Lipovich, R.M. Ali, M.A. Amelina, T.P. Shkurat
    Human Gene.2022; 34: 201114.     CrossRef
  • Common Variants in Lipid Metabolism–Related Genes Associate with Fat Mass Changes in Response to Dietary Monounsaturated Fatty Acids in Adults with Abdominal Obesity
    Shatha S Hammad, Peter Eck, Jyoti Sihag, Xiang Chen, Philip W Connelly, Benoît Lamarche, Patrick Couture, Valérie Guay, Julie Maltais-Giguère, Sheila G West, Penny M Kris-Etherton, Kate J Bowen, David J A Jenkins, Carla G Taylor, Danielle Perera, Angela W
    The Journal of Nutrition.2019; 149(10): 1749.     CrossRef
  • Associations between polymorphisms of the ADIPOQ gene and hypertension risk: a systematic and meta-analysis
    Weina Fan, Xiaowei Qu, Jing Li, Xingning Wang, Yanping Bai, Qingmei Cao, Liqun Ma, Xiaoyao Zhou, Wei Zhu, Wei Liu, Qiang Ma
    Scientific Reports.2017;[Epub]     CrossRef
  • An Updated Systematic Review and Meta-analysis of Association Between Adiponectin Gene Polymorphisms and Coronary Artery Disease
    Haifeng Hou, Siqi Ge, Linlin Zhao, Chenglin Wang, Wei Wang, Xuezhen Zhao, Zheng Sun
    OMICS: A Journal of Integrative Biology.2017; 21(6): 340.     CrossRef
  • Change in Weight and Body Mass Index Associated With All-Cause Mortality in Korea: A Nationwide Longitudinal Study
    Yang-Hyun Kim, Seon Mee Kim, Kyung-do Han, Jang-Won Son, Seong-Su Lee, Sang Woo Oh, Won-Young Lee, Soon Jib Yoo
    The Journal of Clinical Endocrinology & Metabolism.2017; 102(11): 4041.     CrossRef
  • A Validation Study of Adiponectin rs266729 Gene Variant with Type 2 Diabetes, Obesity, and Metabolic Phenotypes in a Taiwanese Population
    Tun-Jen Hsiao, Eugene Lin
    Biochemical Genetics.2016; 54(6): 830.     CrossRef
  • ADIPOQ and IL6 variants are associated with a pro-inflammatory status in obeses with cardiometabolic dysfunction
    Raquel de Oliveira, Tamiris Invencioni Moraes, Alvaro Cerda, Mario Hiroyuki Hirata, Cristina Moreno Fajardo, Marcela Correia Sousa, Egidio Lima Dorea, Márcia Martins Silveira Bernik, Rosario Dominguez Crespo Hirata
    Diabetology & Metabolic Syndrome.2015;[Epub]     CrossRef
  • Metabolic abnormalities in young Egyptian women with polycystic ovary syndrome and their relation to ADIPOQ gene variants and body fat phenotype
    Moushira Zaki, Shams Kholoussi, Somaia Ismail, Haiam Abdel Raouf, Iman Helwa, Naglaa Hassan, Eman Youness, Nadia A. Mohamed, Sanaa Kamal, Walaa Yousef, Mohamed Shaker, Wafaa Ezzat, Yasser A. Elhosary, Omnia M. Saleh, Mona El Gammal, HalaT. El-Bassyouni, S
    Egyptian Journal of Medical Human Genetics.2015; 16(4): 367.     CrossRef
  • Gender-specific associations between ADIPOQ gene polymorphisms and adiponectin levels and obesity in the Jackson Heart Study cohort
    Pia Riestra, Samson Y. Gebreab, Ruihua Xu, Rumana J. Khan, Aurelian Bidulescu, Adolfo Correa, Fasil Tekola-Ayele, Sharon K. Davis
    BMC Medical Genetics.2015;[Epub]     CrossRef
  • Association of ADIPOQ polymorphisms with obesity risk: A meta-analysis
    Jie-fu Lu, You Zhou, Gui-hua Huang, Hai-xing Jiang, Bang-li Hu, Shan-yu Qin
    Human Immunology.2014; 75(10): 1062.     CrossRef
  • Polymorphisms of the adiponectin gene in gestational hypertension and pre-eclampsia
    J S R Machado, A C T Palei, L M Amaral, A C Bueno, S R Antonini, G Duarte, J E Tanus-Santos, V C Sandrim, R C Cavalli
    Journal of Human Hypertension.2014; 28(2): 128.     CrossRef
  • Effect of the ADIPOQ Gene -11391G/A Polymorphism Is Modulated by Lifestyle Factors in Mexican Subjects
    Maritza Roxana Garcia-Garcia, María Antonieta Morales-Lanuza, Wendy Yareny Campos-Perez, Bertha Ruiz-Madrigal, Monserrat Maldonado-Gonzalez, Barbara Vizmanos, Ivan Hernandez-Cañaveral, Irinea Yañez-Sanchez, Sonia Roman, Arturo Panduro, Erika Martinez-Lope
    Lifestyle Genomics.2014; 7(4-6): 212.     CrossRef
  • Adiponectin gene polymorphisms may not be associated with idiopathic premature ovarian failure
    Yuqin Ye, Danhua Pu, Jiayin Liu, Fanghong Li, Yugui Cui, Jie Wu
    Gene.2013; 518(2): 262.     CrossRef
  • Adiponectin Level and Gene Variability Are Obesity and Metabolic Syndrome Markers in a Young Population
    Ivana Karmelić, Jasna Lovrić, Tamara Božina, Hana Ljubić, Željka Vogrinc, Nada Božina, Jadranka Sertić
    Archives of Medical Research.2012; 43(2): 145.     CrossRef
  • Single-nucleotide polymorphisms and haplotypes in the adiponectin gene contribute to the genetic risk for type 2 diabetes in Tunisian Arabs
    Nabil Mtiraoui, Intissar Ezzidi, Amira Turki, Arbi Chaieb, Touhami Mahjoub, Wassim Y. Almawi
    Diabetes Research and Clinical Practice.2012; 97(2): 290.     CrossRef
  • Associations of adiponectin gene polymorphisms with polycystic ovary syndrome: a meta-analysis
    Hongxia Jia, Lili Yu, Xuxiao Guo, Wei Gao, Zhaoshun Jiang
    Endocrine.2012; 42(2): 299.     CrossRef
The Association Between Adiponectin and Diabetes in the Korean Population.
Sun Ha Jee, Hee Yeon Lee, Sun Ju Lee, Ji Eun Yun, Eun Jung Jee, Hye Yun Song, Sang Yeun Kim, Jungyong Park, Hyon Suk Kim
Korean J Epidemiol. 2007;29(2):176-186.
  • 65,535 View
  • 15 Download
AbstractAbstract PDF
As indicators of obesity, waist circumference (WC), body mass index (BMI), and adiponectin are well known risk factor for diabetes mellitus. The objectives of this study were to measure the independent association between these obesity indicators and diabetes and to examine the combined effect of these indicators on diabetes in a Korean population.
The WC, BMI, and serum adiponectin were measured in 6,505 healthy Koreans and were classified into tertile groups for men and women. The independent and combined associations of the obesity indicators with diabetes were measured using logistic regression analyses. Diabetes was defined as fasting serum glucose greater than 126 mg/dL or taking medication.
Levels of adiponectin were inversely associated with BMI and WC and directly associated with age and high density lipoprotein cholesterol (HDL) cholesterol (P <0.001). After adjusting for age, WC, and other lifestyle factors, low levels of adiponectin were associated with an increased prevalence of diabetes. Further adjustment for HDL cholesterol and triglyceride attenuated this association in both men and women. The best cut-off value of adiponectin in terms of identifying the presence of diabetes was 5.5 /ml with a sensitivity and specificity of 46.7% and 63.9% for men and 9.5 /ml with a sensitivity and specificity of 68.2% and 55.2 for women.
These results suggest that adiponectin was associated with diabetes. The association was independent of WC and was partly modified by HDL and triglyceride. There were no effect modifications of adiponectin with WC on diabetes.
Korean summary
Key Message
Development of ELISA-kit of Quantitative Analysis for Adiponectin and Their Correlation with Cardiovascular Risk Factors.
Sun Ha Jee, Seungbok Lee, Sungsik Min, Jungyong Park, Hyon Suk Kim, Sang Yeun Kim, Ji Eun Yun, Sun Ju Lee, Eun Jung Jee, Hee Yeon Lee, Hye Yun Song
Korean J Epidemiol. 2007;29(2):165-175.
  • 39,349 View
  • 27 Download
AbstractAbstract PDF
S: To develop a rapid, sensitive, qualitative ELISA-kit for serum adiponectin and examine correlation with adiponectin and cardiovascular risk factors.
On the base of monoclonal antibodies against adiponectin, apply indirect ELISA to study the performance parameter of the kit. The correlation was examined between adiponectin and cardiovascular risk factors including waist circumference, body mass index, triglyceride, and HDL cholesterol.
The limited concentration of detection of the ELISA-kit was 1ug/ml. Linearity with R&D system and AdipoGen with this ELISA-kit was acceptable: the linear equation with R&D system was y=1.0116x + 0.4629 (R2=0.97) and linear equation with AdipoGen was y=0.9562x + 1.1961 (R2=0.93), respectively. The average recovery rate of the ELISA-kit ranged 92 to 104%. The correlation coefficient of waist circumference with adiponectin was -0.2276 (p<0.0001) among men and -0.2328 (p<0.0001) among women.
This ELISA-kit was quick, sensitive, and stable and can be used to determine adiponectin in serum.
Korean summary
Key Message

Epidemiol Health : Epidemiology and Health