Literature DB >> 23899227

Causal relationship between body mass index and fetuin-A level in the asian population: a bidirectional Mendelian randomization study.

Ammarin Thakkinstian1, Laor Chailurkit, Daruneewan Warodomwichit, Wipa Ratanachaiwong, Sukit Yamwong, Suwannee Chanprasertyothin, John Attia, Piyamitr Sritara, Boonsong Ongphiphadhanakul.   

Abstract

OBJECTIVE: Fetuin-A is associated with body mass index (BMI) as well as components of the metabolic syndrome. However, it is unclear if fetuin-A affects BMI or the other way around. We therefore assessed the causal association between fetuin-A and BMI or vice versa, utilizing a bidirectional Mendelian randomization approach. DESIGN AND METHODS: This was a study of 2558 subjects from the Electricity Generating Authority of Thailand (EGAT) cohort. Two polymorphisms, that is, rs2248690 in the alpha2-Hereman-Schmid glycoprotein (AHSG) gene and rs9939609 in the fat mass and obesity-associated (FTO) gene were genotyped. Bidirectional causal models were constructed using a two-stage least-square instrumental variable (IV) regression. First, rs2248690 locus was used as the instrumental variable for the effect of circulating fetuin-A on BMI, and then, the FTO rs9939609 locus was used as the instrumental variable for the effect of BMI on circulating fetuin-A.
RESULTS: Among the 2558 subjects, the prevalence of the minor AHSG (T) and FTO (A) alleles was 17.9% and 22.1%, respectively. The AHSG rs2248690 locus was highly related to serum fetuin-A levels (P < 0.001). Likewise, the FTO rs9939609 locus and BMI were highly associated (P < 0.001). Mendelian randomization analyses showed that circulating fetuin-A, instrumented by the AHSG rs2248690 locus, was associated with BMI (coefficient = 2.26; 95% CI: 0.39, 4.12). In contrast, BMI, instrumented by the FTO rs9939609 locus, was not associated with circulating fetuin-A (coefficient = 0.0007; 95% CI: -0.0242, 0.0256).
CONCLUSION: Our findings suggest a causal association leading from circulating fetuin-A to BMI. There was no evidence of reverse causality from BMI to fetuin-A.
© 2013 John Wiley & Sons Ltd.

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Year:  2013        PMID: 23899227     DOI: 10.1111/cen.12303

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  11 in total

Review 1.  Fetuin-A: a novel link between obesity and related complications.

Authors:  J F Trepanowski; J Mey; K A Varady
Journal:  Int J Obes (Lond)       Date:  2014-12-03       Impact factor: 5.095

Review 2.  Metabolic Factors Determining the Susceptibility to Weight Gain: Current Evidence.

Authors:  Tim Hollstein; Paolo Piaggi
Journal:  Curr Obes Rep       Date:  2020-06

3.  Causal relationship between the AHSG gene and BMD through fetuin-A and BMI: multiple mediation analysis.

Authors:  C Sritara; A Thakkinstian; B Ongphiphadhanakul; L Chailurkit; S Chanprasertyothin; W Ratanachaiwong; P Vathesatogkit; P Sritara
Journal:  Osteoporos Int       Date:  2014-02-26       Impact factor: 4.507

Review 4.  Mendelian randomization: genetic anchors for causal inference in epidemiological studies.

Authors:  George Davey Smith; Gibran Hemani
Journal:  Hum Mol Genet       Date:  2014-07-04       Impact factor: 6.150

5.  Human Fetuin-A Rs4918 Polymorphism and its Association with Obesity in Healthy Persons and in Patients with Myocardial Infarction in Two Hungarian Cohorts.

Authors:  György Temesszentandrási; Krisztián Vörös; Bernadett Márkus; Zoltán Böröcz; Edit Kaszás; Zoltán Prohászka; András Falus; Károly Cseh; László Kalabay
Journal:  Med Sci Monit       Date:  2016-08-04

6.  Does bariatric surgery influence plasma levels of fetuin-A and leukocyte cell-derived chemotaxin-2 in patients with type 2 diabetes mellitus?

Authors:  Hsien-Hao Huang; Chun Yeh; Jung-Chien Chen; Tzong-Hsi Lee; Shu-Chun Chen; Wei-Jei Lee; Chih-Yen Chen
Journal:  PeerJ       Date:  2018-06-12       Impact factor: 2.984

7.  Fetuin-A in Metabolic syndrome: A systematic review and meta-analysis.

Authors:  Xiongfeng Pan; Shi Wu Wen; Prince L Bestman; Atipatsa C Kaminga; Kwabena Acheampong; Aizhong Liu
Journal:  PLoS One       Date:  2020-03-05       Impact factor: 3.240

8.  MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization.

Authors:  Louise A C Millard; Neil M Davies; Nic J Timpson; Kate Tilling; Peter A Flach; George Davey Smith
Journal:  Sci Rep       Date:  2015-11-16       Impact factor: 4.379

9.  Fetuin-A in Infants Born Small- or Large-for-Gestational-Age.

Authors:  Wen-Juan Wang; Shufan Wang; Meng-Nan Yang; Yu Dong; Hua He; Fang Fang; Rong Huang; Xiao-Gang Yu; Guang-Hui Zhang; Xia Zhao; Tao Zheng; Xiao-Yi Huang; Jun Zhang; Fengxiu Ouyang; Zhong-Cheng Luo
Journal:  Front Endocrinol (Lausanne)       Date:  2020-09-30       Impact factor: 5.555

Review 10.  Metabolic Syndrome: Updates on Pathophysiology and Management in 2021.

Authors:  Gracia Fahed; Laurence Aoun; Morgan Bou Zerdan; Sabine Allam; Maroun Bou Zerdan; Youssef Bouferraa; Hazem I Assi
Journal:  Int J Mol Sci       Date:  2022-01-12       Impact factor: 5.923

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