Meta-analysis Report
Basic Info
| Reference |
Sanchez-Mora C, 201019603419
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| Citation |
Sanchez-Mora C., Ribases M., Ramos-Quiroga J. A., Casas M., Bosch R., Boreatti-Hummer A., Heine M., Jacob C. P., Lesch K. P., Fasmer O. B., Knappskog P. M., Kooij J. J., Kan C., Buitelaar J. K., Mick E., Asherson P., Faraone S. V., Franke B., Johansson S., Haavik J., Reif A., Bayes M. and Cormand B. (2010) "Meta-analysis of brain-derived neurotrophic factor p.Val66Met in adult ADHD in four European populations." Am J Med Genet B Neuropsychiatr Genet, 153B(2): 512-23.
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| Study Type |
Candidate association study |
| Summary |
Before the advent of the first genome-wide association studies in ADHD, genetic research had mainly focused on candidate genes related to the dopaminergic and serotoninergic systems, although several other genes had also been assessed. Pharmacological data, analysis of animal models and association studies suggest that Brain-Derived Neurotrophic Factor (BDNF) is also a strong candidate gene for ADHD. Several polymorphisms in BDNF have been reported and studied in psychiatric disorders but the most frequent is the p.Val66Met (rs6265G>A) single nucleotide polymorphism (SNP), with functional effects on the intracellular trafficking and secretion of the protein. To deal with the inconsistency raised among different case-control and family-based association studies regarding the p.Val66Met contribution to ADHD, they performed a meta-analysis of published as well as unpublished data from four different centers that are part of the International Multicentre Persistent ADHD CollaboraTion (IMpACT). A total of 1,445 adulthood ADHD patients and 2,247 sex-matched controls were available for the study. No association between the p.Val66Met polymorphism and ADHD was found in any of the four populations or in the pooled sample. The meta-analysis also showed that the overall gene effect for ADHD was not statistically significant when gender or comorbidity with mood disorders were considered. Despite the potential role of BDNF in ADHD, their data do not support the involvement of p.Val66Met in the pathogenesis of this neuropsychiatric disorder. |
Detail Info
| Samples |
The meta-analysis contained published and unpublished data. In total, 1,445 adult ADHD patients and 2,447 controls of Caucasian origin from four European countries (Spain, Germany, Norway, and The Netherlands) recruited by members of the International Multicentre Persistent ADHD CollaboraTion (IMpACT) were included in the study. |
| Statistic Method |
conducted meta-analyses using the Meta R package to combine the individual study results |
| Basic Result |
No association between the p.Val66Met polymorphism and ADHD was found in any of the four populations or in the pooled sample. The meta-analysis also showed that the overall gene effect for ADHD was not statistically significant when gender or comorbidity with mood disorders were considered. |
SNPs reported by this study: 1
| SNP |
Allele Change |
Risk Allele |
Statistical Values |
Author Comments |
Result of Statistical Analysis |
| rs6265 |
G>A |
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meta-analysis P-value=0.86, OR=0.99 for dominat model with fixed effects; fixed-effects model P-value=0.95, OR=0.99 for combined subtype, P-value=0.24, OR=0.86 for inattentive subtype, P-value=0.51, OR=0.93 for females, P-value=0.72, OR=1.03 for males |
showed a lack of a statistically significant effect on adult......
showed a lack of a statistically significant effect on adulthood ADHD
More...
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Non-significant
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Genes reported by this study: 1
| Gene |
Statistical Values/Author Comments |
Result of Statistical Analysis |
| BDNF |
no association between the p.Val66Met polymorphism and ADHD
no association between the p.Val66Met polymorphism and ADHD
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Non-significant
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