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[Gender differences of genetic etiology in the incidence of major depressive disorder among Han freshmen].
Gao, C; Luo, L L; Yue, S; Wang, F T; Duan, X M; Qian, Y D; Dong, Y J; Li, H Y; Yue, J; Xu, R X; Liu, Y; Gong, Y D.
Afiliación
  • Gao C; School of Mental Health, Jining Medical University, Jining 272013, China.
  • Luo LL; School of Basic Medicine, Weifang Medical University, Weifang 261053, China.
  • Yue S; School of Basic Medicine, Weifang Medical University, Weifang 261053, China.
  • Wang FT; School of Mental Health, Jining Medical University, Jining 272013, China.
  • Duan XM; Center of Evidence-Based Medicine, Jining Medical University, Jining 272013, China.
  • Qian YD; School of Mental Health, Jining Medical University, Jining 272013, China.
  • Dong YJ; School of Mental Health, Jining Medical University, Jining 272013, China.
  • Li HY; Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
  • Yue J; School of Public Health, Weifang Medical University, Weifang 261053, China.
  • Xu RX; School of Public Health, Yantai Medical University, Yantai 264003, China.
  • Liu Y; Center of Evidence-Based Medicine, Jining Medical University, Jining 272013, China.
  • Gong YD; Shandong Mental Health Center, Shandong University, Jinan 250014, China.
Zhonghua Yi Xue Za Zhi ; 102(19): 1437-1444, 2022 May 24.
Article en Zh | MEDLINE | ID: mdl-35599408
ABSTRACT

Objective:

To analyze the gender differences of genetic etiology in the incidence of major depression disorder among Han freshmen.

Methods:

A 1-year follow-up survey was carried out among 8 079 Han freshmen from Jining, Rizhao and Weifang without lifetime major depressive disorder (MDD) at baseline (April to October 2018) and 4 828 venous blood samples were also collected. After extracting DNA, Sequenom Mass Array time-of-flight mass spectrometry biochip technology was used to detect the genotypes of 17 single nucleotide polymorphisms (SNPs) MDD-related loci. Logistic regression was used for univariate analysis. Generalized multifactor dimension reduction was used to analyze gene-gene interactions. Composite International Diagnostic Interview (CIDI) 3.0 was used for MDD diagnosis.

Results:

The 1-year incidence of MDD among Han freshmen was 2.23% (95%CI 1.91%-2.60%) and the gender difference of incidence between males (1.97%, 95%CI 1.52%-2.56%) and females (2.39%, 95%CI 1.98%-2.90%) was not statistically significant (P>0.05). AG genotype of rs768705 (nearby gene TMEM161B) was a risk factor for MDD (OR=1.98, 95%CI 1.24-2.83). The TC genotype of rs17727765 (nearby gene CRYBA1) was only a risk factor for MDD in males (OR=9.61, 95%CI 2.04-45.30). An 8-loci interaction model (PMFBP1, OLFM4, LHPP, ENOX1, TMEM161B, SPPL3, FBXL4 and L3MBTL2) could predict MDD in women with an accuracy rate of 60.05%. No effective prediction model was found for MDD in men.

Conclusions:

There might be gender differences in the genetic etiology of MDD. Further researches on the genetic causes of MDD in men should be explored.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: Zh Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: Zh Año: 2022 Tipo del documento: Article