Association of SCN2A, ABCB1 and CYP2C19*3 with genetic susceptibility to major depressive disorder.
10.3760/cma.j.cn112150-20211021-00973
- Author:
Ting ZHANG
1
;
Qing Min RAO
1
;
Yong Yin HE
1
;
Jin Tai CAI
1
;
Hai Ying LIU
1
;
Yu Long LIN
1
Author Information
1. Clinical Laboratory, Brain Hospital Affiliated to Guangzhou Medical University, Guangzhou 510370,China.
- Publication Type:Journal Article
- MeSH:
ATP Binding Cassette Transporter, Subfamily B/genetics*;
Adolescent;
Adult;
Alleles;
Arylamine N-Acetyltransferase/genetics*;
Case-Control Studies;
Clopidogrel;
Cytochrome P-450 CYP2C19/genetics*;
Depressive Disorder, Major/genetics*;
Female;
Gene Frequency;
Genetic Predisposition to Disease;
Genotype;
Humans;
Male;
NAV1.2 Voltage-Gated Sodium Channel;
Polymorphism, Single Nucleotide;
Young Adult
- From:
Chinese Journal of Preventive Medicine
2022;56(3):287-294
- CountryChina
- Language:Chinese
-
Abstract:
Objective: Due to genetic factors might increase the risk of depression, this study investigated the genetic risk factors of depression in Chinese Han population by analyzing the association between 13 candidate genes and depression. Methods: 439 depression patients and 464 healthy controls were included in this case-control study. Case group consisted of 158 males and 281 females, aged (29.84±14.91) years old, who were hospitalized in three departments of the affiliated Brain Hospital of Guangzhou Medical University including Affective Disorders Department, Adult Psychiatry Department and Geriatrics Department, from February 2020 to September 2021. The control group consisted of 196 males and 268 females, aged (30.65±12.63) years old. 20 loci of 13 candidate genes in all subjects were detected by MALDI-TOF mass spectrometry. Age difference was compared using the student's t-test, the distributions of gender and genotype were analyzed with Pearson's Chi-square test. The analyses of Hardy-Weinberg equilibrium, allele frequency and the genetic association of depression were conducted using the corresponding programs in PLINK software. Results: PLINK analysis showed that SCN2A rs17183814, ABCB1 rs1045642, CYP2C19*3 rs4986893 and NAT2*5A rs1799929 were associated with depression before Bonferroni correction (χ2=10.340, P=0.001; χ2=11.010, P=0.001; χ2=9.781, P=0.002; χ2=4.481, P=0.034). The frequencies of minor alleles of above loci in the control group were 12.07%, 43.64%, 2.59% and 3.88%, respectively. The frequencies of minor alleles of loci mentioned above in the case group were 17.43%, 35.99%, 5.47% and 6.04%, respectively. OR values were 1.538, 0.726, 2.178 and 1.592, respectively. After 1 000 000 permutation tests using Max(T) permutation procedure, the four loci were still statistically significant, the empirical P-value were 0.002, 0.001, 0.003 and 0.042, respectively. However, only three loci including SCN2A rs17183814, ABCB1 rs1045642 and CYP2C19 rs4986893 had statistical significance after Bonferroni correction, the adjusted P-value were 0.026, 0.018 and 0.035, respectively. Conclusion: SCN2A rs17183814, ABCB1 rs1045642 and CYP2C19*3 rs4986893 were associated with depression's susceptibility in Chinese Han population. The A allele of SCN2A rs17183814 and CYP2C19*3 rs4986893 were risk factors for depression, while the T allele of ABCB1 rs1045642 was a protective factor for depression.
