González-Giraldo Yeimy, Rojas Johana, Novoa Paula, Mueller Shane T, Piper Brian J, Adan Ana, Forero Diego A
Laboratory of Neuropsychiatric Genetics, Biomedical Sciences Research Group, School of Medicine, Universidad Antonio Nariño, Bogotá, Colombia.
Neuropsychobiology. 2014;70(3):152-7. doi: 10.1159/000366483. Epub 2014 Oct 24.
Understanding the molecular genetics of complex human behaviors and functions remains a substantial challenge for the neurosciences. Previous studies have shown a genetic basis for individual differences in mathematical functioning; however, the specific genes remain to be completely identified. In the present study, we explored the possibility that 2 functional polymorphisms in candidate genes could be associated with differences in arithmetical performance.
A computerized test to analyze performance in basic arithmetical calculations (additions and subtractions) was applied to 168 healthy young Colombian participants using the PEBL (Psychology Experiment Building Language) battery. DNA samples were genotyped for 2 functional SNPs in candidate genes: brain-derived neurotrophic factor (BDNF)-Val66Met and catechol-O-methyltransferase (COMT)-Val158Met.
We found significant differences for arithmetical processing scores between genotypes. For BDNF, Val/Val subjects had a worse performance (p value: 0.025) and for COMT, Val/Val carriers had a better performance (p value: 0.006). A multivariate model, including both BDNF and COMT genes, accounted for 7.1% of the variance in math processing scores.
To our knowledge, this is the first study finding associations of polymorphisms in BDNF and COMT genes with quantitative measures of numerical aptitude in healthy young participants. A future study of other genes involved in neural plasticity could be helpful to identify genetic correlates of arithmetical functioning, which will be important for the understanding of normal human behaviors and related neuropsychiatric disorders.
对于神经科学而言,理解复杂人类行为和功能的分子遗传学仍然是一项重大挑战。先前的研究已表明数学功能个体差异存在遗传基础;然而,具体基因仍有待完全确定。在本研究中,我们探讨了候选基因中的两个功能多态性可能与算术表现差异相关的可能性。
使用PEBL(心理学实验构建语言)测试组,对168名健康的哥伦比亚年轻参与者进行了一项计算机化测试,以分析其在基本算术计算(加法和减法)中的表现。对候选基因中的两个功能性单核苷酸多态性进行基因分型:脑源性神经营养因子(BDNF)-Val66Met和儿茶酚-O-甲基转移酶(COMT)-Val158Met。
我们发现不同基因型之间的算术处理得分存在显著差异。对于BDNF,Val/Val受试者表现较差(p值:0.025);对于COMT,Val/Val携带者表现较好(p值:0.006)。一个包括BDNF和COMT基因的多变量模型解释了数学处理得分方差的7.1%。
据我们所知,这是第一项发现BDNF和COMT基因多态性与健康年轻参与者数字能力定量测量之间存在关联的研究。未来对其他参与神经可塑性的基因进行研究,可能有助于确定算术功能的遗传相关性,这对于理解正常人类行为和相关神经精神疾病将具有重要意义。