Candidate Genes for Dyslexia by an In Silico Approach

Ying-Fang Sun ； Jeun-Shenn Lee ； Ralph Kirby

《Asian Journal of Health and Information Sciences》 4卷2-3期 (2009/09) Pp. 81-92

https://doi.org/10.6412/AJHIS.200909.0081

並列摘要

Dyslexia is a very common disorder among school children, with a prevalence ranging from 5% to 12% in Western countries based on the various evaluation standards used for diagnosis and phenotype assessment. There is strong evidence from familial and twin studies indicating that the disorder has a genetic component. Although linkage analysis and association studies have identified potential risk loci located on chromosomes 1, 2, 3, 4, 6, 11, 12, 13, 15, 17, 18, and X, the lod scores are only marginally significant and the susceptible regions are broad and flat. To date, only DCDC2, KIAA0319, ROBO1, DYX1C1 PCNT, DIP2A, S100B, PRMT2, MRPL19 and C20RF3 have been reported as susceptibly involved genes; however, some of these results are controversial and despite intensive studies, gene prediction is extremely challenging.
In silico cloning provides an efficient alternative for the discovery of possible candidate genes. Here, we explore the possibility of predicting the genes that might contribute to dyslexia using in silico cloning. We use the dyslexia candidate region on 2p11 as an example, where forty-two out of sixty genes have known functions assigned by the Ensembl Genome Browser. Three genes, namely, SUCLG1, IMM T and RM35_HUMAN are correlated with mitochondrial function and it is suggested, based on aspects of the physiology of dyslexia, that mutations in these genes may be important; specific information on these genes is described.

並列關鍵字

dyslexia ； in silico cloning ； gene ； mitochondria