1. Testing the role of genetic variation of the MC4R gene in Chinese population in antipsychotic-induced metabolic disturbance
- Author
-
Dai Zhang, Yang Tian, Jianli Yang, Huiyao Wang, Hao Yan, Hongyan Zhang, Fuquan Zhang, Hongyan Ren, Tao Li, Guigang Yang, Liansheng Zhao, Qi Chen, Xin Ma, Keqing Li, Xun Hu, Chuanyue Wang, Lifang Wang, Tianlan Lu, Fude Yang, Wanjun Guo, Wei Deng, Lingjiang Li, Xiaohong Ma, Xiaojing Li, Qingrong Tan, Yamin Zhang, Luxian Lv, Weihua Yue, Liwen Tan, and Qiang Wang
- Subjects
Adult ,Male ,Risk ,0301 basic medicine ,China ,medicine.medical_specialty ,Candidate gene ,Genotype ,medicine.medical_treatment ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Body Mass Index ,Cohort Studies ,Young Adult ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,Genetic variation ,Humans ,Medicine ,Genetic Predisposition to Disease ,Antipsychotic ,Triglycerides ,General Environmental Science ,Triglyceride ,business.industry ,medicine.disease ,Pharmacogenomic Testing ,030104 developmental biology ,Endocrinology ,chemistry ,Schizophrenia ,030220 oncology & carcinogenesis ,Receptor, Melanocortin, Type 4 ,Female ,Waist Circumference ,Lipoproteins, HDL ,General Agricultural and Biological Sciences ,business ,Body mass index ,Antipsychotic Agents ,Lipoprotein - Abstract
Antipsychotic-induced metabolic disturbance (AIMD) is a common adverse effect of antipsychotics with genetics partly underpinning variation in susceptibility among schizophrenia patients. Melanocortin4 receptor (MC4R) gene, one of the candidate genes for AIMD, has been under-studied in the Chinese patients. We conducted a pharmacogenetic study in a large cohort of Chinese patients with schizophrenia. In this study, we investigated the genetic variation of MC4R in Chinese population by genotyping two SNPs (rs489693 and rs17782313) in 1,991 Chinese patients and examined association of these variants with the metabolic effects that were often observed to be related to AIMD. Metabolic measures, including body mass index (BMI), waist circumference (WC), glucose, triglyceride, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels were assessed at baseline and after 6-week antipsychotic treatment. We found that interaction of SNP×medication status (drug-naïve/medicated) was significantly associated with BMI, WC, and HDL change %, respectively. Both SNPs were significantly associated with baseline BMI and WC in the medicated group. Moderate association of rs489693 with WC, Triglyceride, and HDL change % were observed in the whole sample. In the drug-naïve group, we found recessive effects of rs489693 on BMI gain more than 7%, WC and Triglyceride change %, with AA incurring more metabolic adverse effects. In conclusion, the association between rs489693 and the metabolic measures is ubiquitous but moderate. Rs17782313 is less involved in AIMD. Two SNPs confer risk of AIMD to patients treated with different antipsychotics in a similar way.
- Published
- 2019
- Full Text
- View/download PDF