Study of Genetic Association With DCDC2 and Developmental Dyslexia in Hong Kong Chinese Children
Mary M.Y. Waye1, *, Lim K. Poo2, Connie S-H Ho3
Identifiers and Pagination:Year: 2017
First Page: 104
Last Page: 114
Publisher ID: CPEMH-13-104
Article History:Received Date: 10/4/2017
Revision Received Date: 21/6/2017
Acceptance Date: 25/07/2017
Electronic publication date: 21/08/2017
Collection year: 2017
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Doublecortin domain-containing 2 (DCDC2) is a doublecortin domain-containing gene family member and the doublecortin domain has been demonstrated to bind to tubulin and enhance microtubule polymerization. It has been associated with developmental dyslexia and this protein family member is thought to function in neuronal migration where it may affect the signaling of primary cilia.
The objective of the study is to find out if there is any association of genetic variants of DCDC2 with developmental dyslexia in Chinese children from Hong Kong.
The dyslexic children were diagnosed as developmental dyslexia (DD) using the Hong Kong Test of Specific Learning Difficulties in Reading and Writing (HKT-SpLD) by the Department of Health, Hong Kong. Saliva specimens were collected and their genotypes of DCDC2 were studied by DNA sequencing or TaqMan Real Time PCR Assays.
The most significant marker is rs6940827 which is associated with DD with nominal p-value (0.011). However, this marker did not remain significant after multiple testing corrections and the adjusted p-value from permutation test was 0.1329. Using sliding window haplotype analysis, several haplotypes were found to be nominally associated with DD. The smallest nominal p values was 0.0036 (rs2996452-rs1318700, C-A). However, none of the p values could withstand the multiple testing corrections.
Despite early findings that DCDC2 is a strong candidate for developmental dyslexia and that some of the genetic variants have been linked to brain structure and functions, our findings showed that DCDC2 is not strongly associated with dyslexia.
The first dyslexia candidate gene DYX1C1 was reported  and confirmed by various groups , including our group , and it has been shown to play a molecular role in brain development. Knocking down the function of DYX1C1 using small interfering RNA (siRNA) resulted in disruption of normal neuronal migration in the developing neocortex of embryonic rat, which could be reversed by the concurrent overexpression of DYX1C1 [4-6]. Disruption of DYX1C1 also impaired auditory processing and spatial learning in rodent models .
Various linkage analyses results showed strong evidences for 6p21.3 in relation to dyslexia [8-13], though some groups reported some difficulties in confirming their results  or different results depending on whether the subjects were from UK or USA [15-18]. Deffenbacher et al. (2004)  used a similar approach by using single nucleotide polymorphism (SNP) markers in the association study. In the first stage, they refined the region to about 3.24Mb by linkage analysis. After that, high dense SNP markers (~21kp apart) across the highly significant region were used. Thirteen SNPs showed significant association with at least one of the phenotypes. The region of these SNPs clustering contains five genes: VMP, DCDC2, KIAA0319, TTRAP and THEM2.
Thirteen of the seventeen significant associated SNPs were located within KIAA0319. Association of KIAA0319 was further confirmed by a study of two large independent UK samples (Oxford and Cardiff) . Harold et al. (2006)  refined the region by 36 SNPs markers and the region flanking from the first intron to 5’ upstream showed the most significant association with developmental dyslexia (DD). rs3212236 located at 5’ was the most significant marker associated with word choice test (OC-choice), orthographic coding using irregular words (OC-irreg), single-word reading ability (READ) and spelling ability (SPELL) in the Oxford sample. Our group has also confirmed that a common haplotype of KIAA0319 contributes to phonological awareness skill in Chinese children . Recently it has also been reported that brainstem responses as characterized by a reduction in neural discrimination abilities are associated with a higher number of risk alleles of KIAA0319 while no significant association has been found with DCDC2 (rs807724, rs1087266, rs807701, rs793842, rs1091047, rs6922023) and performance in reading and writing .
Furthermore, targeted knock down of other dyslexia susceptibility candidate genes (such as KIAA0319 and DCDC2) resulted in similar patterns of neuronal migration [22-24]. Functional analyses of these variations have also been studied indicating that Kiaa 0319 is expressed during development of mouse and human fetal brain and is involved in neuronal migration for the formation of the cerebral neocortex . Knockdown rat model of Dcdc2 by RNAi gave different phenotypes in contrast to an earlier study, in that these rats cannot identify specific speech sounds from a continuous train of speech sounds but they did not have problem in discrimination of isolated speech sounds . The mechanism of the effect of DCDC2 in neurodevelopmental disorder might be due to its function as one of the genes important in the formation of primary cilia, which could lead to determination of visceral asymmetry and brain lateralization [26, 27].
Other genes on chromosome 6p21 region have also been explored. An American group [28, 29]followed up their previous study  and refined the 1.5Mb region by a high density marker panel of 147 SNPs. In their results, the strongest association (p ≤ 0.01) with discriminant score (DISC) phenotype was shown at the SNPs (rs807724 and rs1087266) of DCDC2 gene. In particular, reading skills were found to be associated with DCDC2 in a group of children born in England . Meng’s group also found a 2,445bp deletion polymorphism located in intron 2 also harboring a compound short tandem repeat (STR) polymorphism. The STR comprised of 10 alleles containing variable copy numbers of (GAGAGGAAGGAAA)n and (GGAA)n repeat units (named as “READ1” or “regulatory element associated with dyslexia 1” [32, 33]). By combining the deletion and 10 minor alleles, a significant association was found with homonym choice phenotype . The deletion polymorphism, dbSTS ID no. 808238, encodes multiple copies of PEA3 and NF-ATp sites that are active in brain, and it was hypothesized that large deletion of this region which was found in dyslexics reported by Meng et al, would have a profound effect on DCDC2 function . The deletion present in Chinese occurs at a much higher allele frequency (0.384) than in other populations: US (0.085), German (0.086) and Italy (0.067) [16, 23, 28].
The aim of our study was to find out if there are any association of genetic variants of DCDC2 with developmental dyslexia in the Chinese children from Hong Kong. To address this question, we use both genotyping with SNPs as well as deletion polymorphisms and in particular the dbSTS ID no.l 808238 that have been described by Meng’s reports.
2. MATERIALS AND METHODS
The procedures of subject recruitment, characteristics, and DNA extraction methodology has been reported previously in our earlier reports [3, 20, 34]. In this study, 54 trios aged between 5 and 16 years were used. Subjects were diagnosed as DD cases using the Hong Kong Test of Specific Learning Difficulties in Reading and Writing (HKT-SpLD)  and referred by the local education authority, child assessment centres, and a parent association named Hong Kong Association for Specific Learning Disabilities. The HKT-SpLD battery consisted of 12 subtests. The subtests were broken down into three literacy tests, which are Chinese Word Reading (CWR), One-minute Reading (OMR) and Chinese Word Dictation (CWD), and one rapid naming test (DRN), where subjects were asked to name digits. Two subtests involve phonological awareness which is based on testing the subjects’ awareness of onsets (OD) and rhymes (RD) of Chinese syllables, and three were phonological memory subtests, where subjects were asked to repeat orally the syllables presented to them from a disc player, i.e. (Word Repetition I (WPI), Non-word Repetition (NWR), Word repetition II (WRII). The final three subtests were tests of orthographic skills. These tests consist of 70 simple Chinese integrated characters and Arabic numbers. Half of them were left/right reversed and the subjects were asked to cross out all items with an incorrect orientation, i.e., Left-Right Reversal (LRR). The subjects were asked to decide characters vs. non-characters, i.e., Lexical Decision (LD) and to identify the correct position of orthographic radicals in Chinese characters, i.e., Radical Position (RP).
These 12 subtests were combined to yield five composite scores in the domains of literacy, phonological awareness, phonological memory, rapid naming and orthographic skills. To be classified as children with dyslexia, their literacy composite score and at least one cognitive composite score had to be at least one standard deviation (SD = 3) below the means (mean = 10) of their respective ages in the HKT-SpLD (cutoff score = 7). Participants in the dyslexic group fulfilled this diagnostic criterion and all of the subjects showed a normal intelligence score on Raven’s Standard Progressive Matrices (with IQs of 85 or above). Saliva samples were first obtained from the participants in the dyslexic group. DNA samples were then extracted from these samples using the OrageneTM DNA self-collection kit following the manufacturer’s instructions (DNA Genotek, Inc., Ottawa, Canada). Permutation test (1000 runs) was used to run multiple testing corrections over all tests performed in single-marker association analyses of categorical DD.
Linkage disequilibrium (LD) was calculated and LD plots were generated using Haploview version 4.1 (http://www.broad.mit.edu/mpg/haploview) . Odds ratio was estimated using the UNPHASED software for discrete analysis (affection status: diagnosed as dyslexia or not). For quantitative traits analysis, additive genetic value (AddVal) was estimated using the UNPHASED software, showing that the value shows the change in expected trait value due to the haplotype of interest relative to the reference haplotype selected. AddVal assumes a normally distributed trait and small deviations from the mean. Gene-gene interactions were analyzed using haplotype-based analysis with the UNPHASED software. The approach compares null hypothesis of equal contributions for all gene combinations in haplotype form sharing the same alleles at the conditioning marker to alternative hypothesis that is differential multiplicative contributions from the test marker. Chi-square tests were used for statistical analyses.
3.1. Association of DCDC2 with Chinese Dyslexic Children
The most significant marker was rs6940827 associated with DD with nominal p-value (0.011). However, this marker did not remain significant after multiple testing corrections and the adjusted p-value from permutation test was 0.1329 Table (1). Using sliding window haplotype analysis, several haplotypes were found to be nominally associated with DD. The smallest nominal p value was 0.0036 (rs2996452-rs1318700, C-A) Table (2). Given an ordered set of markers (1, 2....n), sliding windows of overlapping haplotypes were tested in sequence, i.e. markers 1-2 were treated as a single haplotype, then markers 2-3 were treated as a single haplotype, followed by markers 3-4, etc. Haplotypes of varying sizes (i.e. 2-, 3-SNP haplotypes, etc.) were assessed. However, none of the p values could withdraw the multiple testing corrections. Quantitative traits analysis was also performed and the nominal significant markers as shown in Table (3). Again, none of the markers could withdraw the multiple testing corrections.
|rs Number||SNP||Position||Location||Reference Allele (Frequency)||
|rs3765502||A/G||24354045||Intron 1||A (0.545)||0.97 (0.67–1.39)||0.8527|
|rs813227||C/T||24353742||Intron 2||C (0.38)||1.09 (0.73–1.63)||0.6799|
|rs10498720||G/T||24353436||Intron 2||G (0.178)||1.44 (0.93–2.23)||0.0987|
|rs6940827||C/T||24351301||Intron 2||C (0.807)||1.82 (1.14–2.9)||0.011*|
|rs1277351||A/G||24346056||Intron 2||A (0.574)||0.92 (0.64–1.32)||0.641|
|rs9379655||G/T||24341380||Intron 2||G (0.422)||0.97 (0.68–1.37)||0.8586|
|rs7770684||C/T||24340212||Intron 2||C (0.848)||0.92 (0.57–1.47)||0.7179|
|rs9467110||G/T||24321028||Intron 2||G (0.151)||0.94 (0.57–1.54)||0.7995|
|rs10806987||A/G||24315743||Intron 2||A (0.564)||0.87 (0.61–1.23)||0.4243|
|rs9379651||A/G||24314900||Intron 2||A (0.391)||0.92 (0.64–1.32)||0.6494|
|rs11754080||C/T||24284244||Intron 6||C (0.846)||1.14 (0.69–1.87)||0.6113|
|rs807701||A/G||24273791||Intron 7||A (0.801)||1.08 (0.7–1.67)||0.7389|
|rs870601||C/T||24261060||Intron 7||C (0.803)||1.11 (0.71–1.71)||0.6547|
|rs9358760||C/T||24249893||Intron 7||C (0.233)||1.18 (0.77–1.82)||0.442|
|rs1087287||C/G||24237289||Intron 7||C (0.383)||1.06 (0.73–1.54)||0.7738|
|rs9467080||C/G||24217261||Intron 7||C (0.21)||0.98 (0.63–1.5)||0.9126|
|rs16888894||C/T||24209886||Intron 7||C (0.415)||0.94 (0.64–1.39)||0.7697|
|rs793862||C/T||24207200||Intron 7||C (0.541)||1.02 (0.7–1.49)||0.923|
|rs793861||A/T||24206616||Intron 7||A (0.53)||1 (0.69–1.45)||1|
|rs793850||C/T||24195935||Intron 8||C (0.632)||0.92 (0.62–1.37)||0.6891|
|rs1343624||C/T||24193138||Intron 8||C (0.598)||0.98 (0.67–1.44)||0.9215|
|rs3789220||A/G||24189275||Intron 8||A (0.141)||0.79 (0.45–1.37)||0.3956|
|rs793845||C/T||24188991||Intron 8||C (0.458)||0.98 (0.68–1.43)||0.9244|
|rs1277190||C/T||24186590||Intron 8||C (0.141)||0.94 (0.56–1.55)||0.7962|
|rs3804323||C/T||24185739||Intron 8||C (0.802)||0.88 (0.56–1.38)||0.5636|
|rs2791972||G/T||24185221||Intron 8||G (0.204)||0.89 (0.59–1.36)||0.596|
|rs2996452||C/T||24180366||Intron 8||C (0.628)||0.76 (0.53–1.1)||0.1434|
|rs1318700||A/T||24177469||Intron 9||A (0.854)||0.68 (0.41–1.1)||0.1111|
|rs1936389||G/T||24177457||Intron 9||G (0.41)||0.88 (0.6–1.28)||0.4984|
|Individual haplotype test||
Adjusted p-value permutation
|T-C||0.632||1.321 (0.8461 – 2.061)||0.5408|
|T-T||0.180||2.281 (1.255 – 4.148)||0.0116|
|C-T||0.137||0.4724 (0.2589 – 0.873)||0.0953|
|T-A||0.371||0.5834 (0.3804 – 0.8947)||0.0922|
|T-T||0.016||0.8063 (0.1407 – 4.62)||0.7442|
|C-A-T||0.029||0.5245 (0.1537 – 1.789)||0.2484|
|C-G-T||0.387||0.8443 (0.5539 – 1.287)||0.1061|
|T-A-G||0.013||5.175 (0.6055 - 44.22)||0.0745|
|T-A-T||0.126||1.448 (0.8191 – 7.722)||0.1797|
|T-G-T||0.040||2.675 (0.9268 – 7.722)||0.0435|
|T-C-G-T||0.216||1.01 (0.624 - 1.634)||0.9921|
|G-C-C-T||0.173||0.7118 (0.4216 - 1.202)||0.0624|
|T-T-A-T||0.126||1.473 (0.8322 - 2.607)||0.181|
|T-T-G-T||0.038||2.466 (0.848 - 7.172)||0.0591|
|T-C-A-T||0.020||0.3875 (0.07633 - 1.967)||0.1575|
|T-T-A-G||0.015||6.143 (0.7291 - 51.76)||0.0537|
|C-G-T-C||0.379||0.869 (0.5665 - 1.333)||0.2601|
|T-A-T-T||0.117||1.285 (0.7124 - 2.319)||0.3257|
|T-G-T-C||0.040||2.385 (0.8213 - 6.926)||0.0659|
|C-A-T-T||0.024||0.2622 (0.0547 - 1.258)||0.0572|
|C-A-T-C||0.357||0.837 (0.5238 - 1.337)||0.4057|
|C-A-C-C||0.155||1.032 (0.5591 - 1.905)||0.4148|
|T-T-C-C||0.059||1.206 (0.5169 - 2.813)||0.5226|
|Literacy||Rapid Naming||Phonological Awareness||Phonological Memory||Orthographic Knowledge|
|Adjusted P value (permutation x1000)||NS||NS||NS|
3.2. Gene-Gene Interaction Analysis
Since a German group has found some interactions between DCDC2 and KIAA0319 in a large German dyslexia sample , we also attempted to find similar interactions. The significant haplotype rs2760157-rs807507 of KIAA0319 found in our previous study  was used for testing gene-gene interaction with DCDC2. SNP-haplotype testing between rs2760157-rs807507 and each SNP of DCDC2 studied was evaluated for DD as well as for each reading related trait. As shown in Table (4), there was only a nominal significant gene-gene interaction between KIAA0319 and DCDC2. The associations did not remain significant after permutation tests.
|DCDC2 SNP markers||Affection||KIAA0319 Haplotype rs2760157-rs807507|
|Literacy||Rapid Naming||Phonological Awareness||Phonological Memory||Orthographic Knowledge|
The DCDC2 deletion polymorphisms were studied by Sanger Dideoxy sequencing, using primers described previously [23, 29]. We have used parents with heterozygous alleles for the calculation of disequilibrium of transmission (QTDT analyses) of the risk allele, and the total number of families used for the calculation was 54 out of a total number of 92 families. There was no significant association of known risk allele with dyslexia status and any subtest of the dyslexic scores, when the deletion risk allele (i.e. dbSTS ID no. 808238) was analyzed separately, and when the deletion allele and all remaining minor alleles of dbSTS ID no. 808238 were combined for analyses (*Allele 30). This may be due to the fact that the allele frequency of the deletion polymorphism (listed as allele 14 in Table (5) was higher which is very different from those reported for Caucasians.
|Allele||Repeat unit 1||Repeat unit 2||SNP1||Repeat unit 3||Repeat unit 4||Repeat unit 5||Allele Frequency*||Allele Frequency**||Allele Frequency***||Frequency reported ^@|
The prevalence rate of developmental dyslexia in Hong Kong Chinese school-aged children was estimated to be between 9.7% and 12.6% , similar to the rate in Caucasian populations . Due to the significant impact of poor reading and writing on performance of students and the strong sense of competition in Chinese education, study of the genetic component of dyslexia is therefore important. Chinese language is known to be substantially different from Western languages, being logographic and morphosyllabic rather than being alphabetic and phonemic . Moreover, orthographic (rather than phonological) deficits were found to be the main problem for Chinese people with dyslexia, in contrast to Caucasians . Functional MRI studies of Chinese people with dyslexia also revealed different biological abnormalities in their brains [41, 42]. Furthermore, altered topological organization of brain structural network showed that dyslexic children exhibited increased local efficiency combined with a tendency of decreased global efficiency and the general prolonged characteristic path length (which might be mainly caused by developmental abnormality of several white matter connections ) compared to that of control children, which is somewhat similar to those features observed in congenital amusia Madarin-speaking children of Beijing . Different laboratories have reported conflicting results related to the association of developmental dyslexia with DCDC2, our results, as shown below (Table 5), do not indicate a significant association but rather a nominally significant association only. This could be due to heterogeneity of samples of dyslexia due to different genes responsible for the phenotype or other involvement of unknown gene-environment interactions  or some other transcriptional regulatory factors of DCDC2 . For example, an Italian-Canadian collaboration on DCDC2 and environmental factors (smoke and miscarriage) underlie attention deficit/hyperactivity disorder traits suggested a potential pleiotropic effect as revealed by a twin study . DCDC2 gene polymorphisms have been associated with dyslexia in Chinese Uyghur children . Other model system did show a role of DCDC2 in other aspects of learning which might affect children's language ability. For example, genes targeting Dcdc2 in the knockdown rat model, impairments of long term memory and visual-spatial performance were reported . Knockdown of DCDC2 was related to a reduction in speech sound discrimination in a continuous stream in rat . Recently it was reported that mutation of the Dcdc2 leads to enhancement of the glutamatergic synaptic transmission between layer 4 neurons in mouse neocortex . A summary of our findings is provided in (Table 6).
|Gene||Categorical DD||Quantitative Traits|
|Single marker||Haplotype||Single marker|
rs6940827-rs1277351-rs9379655-rs7770684 (most significant) p = 0.0089
Phonological Memory (WRII)
rs793845, rs1277190, rs2791972
|DCDC2 (Deletion)||Not Significant
dbSTS ID 808238
In conclusion, despite early findings that DCDC2 is a strong candidate for developmental dyslexia and that some of the genetic variants have been linked to brain structure and functions in several populations [23, 28, 29, 50-54], our findings show that DCDC2 is not strongly associated with dyslexia in Hong Kong Chinese, consistent with the reports from some other groups [16, 55] and other meta-analyses studies . In contrast to the meta-analyses carried out by Zhong’s group, our findings also do not support their conclusion that rs807701 is associated with developmental dyslexia . However, our results cannot be generalized to all logographical languages as we have only included Hong Kong dyslexic children in this study. Future studies might consider studying FAM65B and CMAHP as new candidate genes in the DYX2 region ; further expression studies using immortalized lymphocytes to correlate the expression of DCDC2 with genotypes, similar to other studies  would also be important for further confirmation of our results.
This study was approved by the ethical committee of The Chinese University of Hong Kong.
ETHICS APPROVAL AND CONSENT TO PARTICIPATE
HUMAN AND ANIMAL RIGHTS
No Animals/Humans were used for studies that are base of this research.
CONSENT FOR PUBLICATION
CONFLICT OF INTEREST
The authors declare no conflict of interest, financial or otherwise.
Donation from the Croucher Foundation has made the early part of this study possible. We thank Ms PS Ma for her contribution in the analyses of the DCDC2 genotypes, and all the children and parents who have donated their saliva for this study. We thank Ms Venus Yeung for her technical assistance. The help from the Association of learning Disability and the Hong Kong Children Assessment Centre is much appreciated.
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