Literature DB >> 20014955

Gene-gene interactions of the brain-derived neurotrophic-factor and neurotrophic tyrosine kinase receptor 2 genes in geriatric depression.

Eugene Lin1, Chen-Jee Hong, Jen-Ping Hwang, Ying-Jay Liou, Chen-Hong Yang, Daniel Cheng, Shih-Jen Tsai.   

Abstract

Brain-derived neurotrophic-factor (BDNF) and its receptor neurotrophic tyrosine kinase receptor 2 (NTRK2) have been implicated in both major depression and cognitive function. This study examines the main effects of single loci and multilocus interactions to test the hypothesis that the BDNF and NTRK2 genes may contribute to the etiology of geriatric depression independently and/or through complex interactions. We genotyped the BDNF gene Val66Met (rs6265) polymorphism and four single-nucleotide polymorphisms (SNPs) (including rs1187323, rs1187329, rs1778929, and rs1545285) in the NTRK2 gene in 155 elderly inpatients diagnosed with major depression and 195 age- and sex-similar control subjects. All patients were assessed with the Hamilton Rating Scale for Depression (HAM-D) for depression severity and the Mini-Mental Status Examination (MMSE) for cognitive function after admission. The genotype distributions of all five SNPs tested were significantly different between depressed patients and control subjects. BDNF rs6265, NTRK2 rs1187323, and NTRK2 rs1778929 (p = 0.0031, 0.002, and 0.0014, respectively) also displayed statistically significant differences in the genotypic tests after Bonferroni correction (p < 0.05/5 = 0.01). In addition, the 2-marker haplotype derived from the rs1187323 and rs1187329 polymorphisms demonstrated a significant difference between geriatric depression and control groups according to haplotype distribution (global p = 0.003). Furthermore, BDNF and NTRK2 interactions were found in the significant 2-locus, 3-locus, 4-locus, and 5-locus gene-gene interaction models (p = 0.014, <0.001, 0.007, and 0.032, respectively) using a generalized multifactor dimensionality reduction (GMDR) method. Analyses using logistic regression models confirmed the gene-gene interactions. The results suggest that the BDNF and NTRK2 genes may contribute to the risk of geriatric depression independently and in an interactive manner.

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Year:  2009        PMID: 20014955     DOI: 10.1089/rej.2009.0871

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  23 in total

Review 1.  Assessing gene-gene interactions in pharmacogenomics.

Authors:  Hsien-Yuan Lane; Guochuan E Tsai; Eugene Lin
Journal:  Mol Diagn Ther       Date:  2012-02-01       Impact factor: 4.074

2.  The brain-derived neurotrophic-factor (BDNF) val66met polymorphism is associated with geriatric depression: a meta-analysis.

Authors:  Yu Pei; Alicia K Smith; Yongjun Wang; Yanli Pan; Jian Yang; Qi Chen; Weigang Pan; Feng Bao; Lisha Zhao; Changle Tie; Yizheng Wang; Jian Wang; Wenfeng Zhen; Jinxia Zhou; Xin Ma
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2012-05-18       Impact factor: 3.568

3.  BDNF Val66Met and cognition: all, none, or some? A meta-analysis of the genetic association.

Authors:  S D Mandelman; E L Grigorenko
Journal:  Genes Brain Behav       Date:  2011-12-05       Impact factor: 3.449

4.  Risk and protective genetic variants in suicidal behaviour: association with SLC1A2, SLC1A3, 5-HTR1B &NTRK2 polymorphisms.

Authors:  Therese M Murphy; Maria Ryan; Tom Foster; Chris Kelly; Roy McClelland; John O'Grady; Eleanor Corcoran; John Brady; Michael Reilly; Anne Jeffers; Katherine Brown; Anne Maher; Noreen Bannan; Alison Casement; Dermot Lynch; Sharon Bolger; Prerna Tewari; Avril Buckley; Leah Quinlivan; Leslie Daly; Cecily Kelleher; Kevin M Malone
Journal:  Behav Brain Funct       Date:  2011-06-28       Impact factor: 3.759

5.  Effects of BDNF polymorphisms on antidepressant action.

Authors:  Shih-Jen Tsai; Chen-Jee Hong; Ying-Jay Liou
Journal:  Psychiatry Investig       Date:  2010-11-30       Impact factor: 2.505

Review 6.  Gene-environment interactions in geriatric depression.

Authors:  Francis E Lotrich
Journal:  Psychiatr Clin North Am       Date:  2011-06

7.  Assessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.

Authors:  Nicholas S Roetker; C David Page; James A Yonker; Vicky Chang; Carol L Roan; Pamela Herd; Taissa S Hauser; Robert M Hauser; Craig S Atwood
Journal:  Am J Public Health       Date:  2013-08-08       Impact factor: 9.308

Review 8.  Involvement of brain-derived neurotrophic factor in late-life depression.

Authors:  Yogesh Dwivedi
Journal:  Am J Geriatr Psychiatry       Date:  2013-03-19       Impact factor: 4.105

9.  Pilot study of an association between a common variant in the non-muscle myosin heavy chain 9 (MYH9) gene and type 2 diabetic nephropathy in a Taiwanese population.

Authors:  Chang-Hsun Hsieh; Yi-Jen Hung; Dee Pei; Shi-Wen Kuo; Eugene Lin
Journal:  Appl Clin Genet       Date:  2010-03-16

10.  Possible associations of NTRK2 polymorphisms with antidepressant treatment outcome: findings from an extended tag SNP approach.

Authors:  Johannes M Hennings; Martin A Kohli; Darina Czamara; Maria Giese; Anne Eckert; Christiane Wolf; Angela Heck; Katharina Domschke; Volker Arolt; Bernhard T Baune; Sonja Horstmann; Tanja Brückl; Torsten Klengel; Andreas Menke; Bertram Müller-Myhsok; Marcus Ising; Manfred Uhr; Susanne Lucae
Journal:  PLoS One       Date:  2013-06-04       Impact factor: 3.240

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