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[Association between polymorphism of BDNF and internalizing disorders].

Xiang-fei Meng1, Chang-gui Kou, Jie-ping Shi

  • 1Department of Epidemiology and Health Statistics, Research Center for Genomic Medicine, School of Public Health, Jilin University, Changchun 130021, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|March 3, 2010
PubMed
Summary
This summary is machine-generated.

The brain-derived neurotrophic factor (BDNF) gene may be a susceptible gene for internalizing disorders. Specific BDNF gene polymorphisms, rs10835210 and rs2030324, were associated with increased risk in undergraduates.

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Area of Science:

  • Neuroscience
  • Genetics
  • Psychiatry

Context:

  • Internalizing disorders represent a significant mental health challenge among undergraduates.
  • Understanding the genetic underpinnings of these disorders is crucial for developing targeted interventions.

Purpose:

  • To investigate the genetic association between brain-derived neurotrophic factor (BDNF) gene polymorphisms and internalizing disorders in a student population.
  • To identify specific BDNF gene variants that may confer susceptibility to internalizing disorders.

Summary:

  • This study utilized PCR-based ligase detection reaction (PCR-LDR) to analyze single nucleotide polymorphisms (SNPs) in the BDNF gene among 259 undergraduates with internalizing disorders and 269 healthy controls.
  • Results indicated that rs10835210 and rs2030324 were significantly associated with internalizing disorders, with specific alleles acting as risk factors (OR = 1.877, P < 0.001; OR = 1.347, P < 0.05).
  • Haplotype analysis further supported the association, identifying a three-SNP haplotype linked to internalizing disorders (chi(2) = 23.537, P < 0.001).

Impact:

  • The findings suggest that the BDNF gene may play a role in the etiology of internalizing disorders.
  • This research provides a theoretical basis for further exploration into the genetic susceptibility of internalizing disorders.
  • Identifying genetic risk factors can inform future diagnostic and therapeutic strategies for mental health conditions.