Dyslexia and DCDC2: normal variation in reading and spelling is associated with DCDC2 polymorphisms in an Australian population sample

Lind, Penelope A.; Luciano, Michelle; Wright, Margaret J.; Montgomery, Grant W.; Martin, Nicholas G.; Bates, Timothy C.

doi:10.1038/ejhg.2009.237

Cited by 75 publications

(79 citation statements)

References 43 publications

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“…While our sample was older than the discovery sample and a different phenotype was used, we have previously replicated other SNPs originally identified in younger samples, also using different measures -for example, dyslexia diagnoses (Lind et al, 2010;Luciano et al, 2007). The use by Meaburn et al, (2008) of combined timed-TOWRE and teacher ratings may increase the loading on comprehension and/or timed aspects of reading.…”

Section: Discussionmentioning

confidence: 99%

SNP Sets and Reading Ability: Testing Confirmation of a 10-SNP Set in a Population Sample

Luciano¹,

Montgomery

Martin

et al. 2011

Twin Res Hum Genet

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A set of 10 SNPs associated with reading ability in 7-year-olds was reported based on initial pooled analyses of 100K SNP chip data, with follow-up testing stages using pooling and individual testing. Here we examine this association in an adolescent population sample of Australian twins and siblings (N= 1177) aged 12 to 25 years. One (rs1842129) of the 10 SNPs approached significance (P= .05) but no support was found for the remaining 9 SNPs or the SNP set itself. Results indicate that these SNPs are not associated with reading ability in an Australian population. The results are interpreted as supporting use of much larger SNP sets in common disorders where effects are small.

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Section: Discussionmentioning

confidence: 99%

SNP Sets and Reading Ability: Testing Confirmation of a 10-SNP Set in a Population Sample

Luciano¹,

Montgomery

Martin

et al. 2011

Twin Res Hum Genet

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“…DCDC2 is thought to play a role in neuronal migration, and has been associated with dyslexia in multiple independent studies (e.g., Meng et al, 2005;Schumacher et al, 2006;Wilcke et al, 2009) (p values = .0003, .004, and <.05 respectively). It has been associated with variation in reading and spelling ability in a general population (p values <.001) (Lind et al, 2010), with inattention and hyperactivity/impulsivity symptoms of ADHD (Couto et al, 2009), and with the distribution of grey matter in language-related brain regions in healthy individuals (p < .01 for volumetric differences between genotype groups) (Meda et al, 2008).…”

Section: Discussionmentioning

confidence: 99%

Whole genome association scan for genetic polymorphisms influencing information processing speed

Luciano

Hansell

Lahti

et al. 2011

Biological Psychology

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Processing speed is an important cognitive function that is compromised in psychiatric illness (e.g., schizophrenia, depression) and old age; it shares genetic background with complex cognition (e.g., working memory, reasoning). To find genes influencing speed we performed a genome-wide association scan in up to three cohorts: Brisbane (mean age 16 years; N = 1659); LBC1936 (mean age 70 years, N = 992); LBC1921 (mean age 82 years, N = 307), and; HBCS (mean age 64 years, N = 1080). Meta-analysis of the common measures highlighted various suggestively significant (p < 1.21 × 10 −5 ) SNPs and plausible candidate genes (e.g., TRIB3). A biological pathways analysis of the speed factor identified two common pathways from the KEGG database (cell junction, focal adhesion) in two cohorts, while a pathway analysis linked to the GO database revealed common pathways across pairs of speed measures (e.g., receptor binding, cellular metabolic process). These highlighted genes and pathways will be able to inform future research, including results for psychiatric disease. KeywordsInformation processing speed; Cognitive ability; Genes; Biological pathways © 2010 Elsevier B.V. All rights reserved. * Corresponding author at: Psychology, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK. Tel.: +44 131 6 51 5040; fax: +44 131 650 8405. michelle.luciano@ed.ac.uk. . 1 These authors contributed equally to this work. Appendix A. Supplementary data Supplementary data associated with this article can be found, in the online version, at doi: 10.1016/j.biopsycho.2010.11.008. Europe PMC Funders GroupAuthor Manuscript Biol Psychol. Author manuscript; available in PMC 2012 April 04. Published in final edited form as:Biol Psychol. 2011 March ; 86(3): 193-202. doi:10.1016/j.biopsycho.2010 Europe PMC Funders Author Manuscripts Europe PMC Funders Author ManuscriptsInformation processing speed is considered a lower level cognitive process, although it shares a large portion of its genetic variance with higher order abilities (e.g., reasoning, working memory) (Luciano et al., 2003;Neubauer, 1997). It is a cognitive domain that is particularly prone to deterioration with ageing (Salthouse, 1996); for example, simple reaction time (RT) slows at around 50 years of age and choice RT slows throughout the adult range (Der and Deary, 2006). However, similar to complex cognition with which it is correlated, the genes influencing speed are expected to be stable across the lifespan (Lyons et al., 2009). Speed is affected (slowed) in psychiatric conditions such as schizophrenia, depression and substance use disorder (Andersson et al., 2010;Jahshan et al., 2009) and RT has even been shown to account for the relationship between IQ and mortality in a cohort followed up until age 70 (Deary and Der, 2005;Latvala et al., 2009). It is therefore an important trait to understand, and in this study, we aim to locate genes influencing chronometric and psychometric processing speed measures via genome wide association. These genes may underlie comple...

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“…30,64 Of these five genes, genetic variants in DCDC2, KIAA0319 and TTRAP were reported to be associated with the disorder more than once 3,52,[65][66][67][68][69][70][71][72][73][74][75][76][77] ( Table 3).…”

Section: Dyx2 Locus (6p22)mentioning

confidence: 99%

A theoretical molecular network for dyslexia: integrating available genetic findings

et al. 2010

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Developmental dyslexia is a common specific childhood learning disorder with a strong heritable component. Previous studies using different genetic approaches have identified several genetic loci and candidate genes for dyslexia. In this article, we have integrated the current knowledge on 14 dyslexia candidate genes suggested by cytogenetic findings, linkage and association studies. We found that 10 of the 14 dyslexia candidate genes (ROBO1, KIAA0319, KIAA0319L, S100B, DOCK4, FMR1, DIP2A, GTF2I, DYX1C1 and DCDC2) fit into a theoretical molecular network involved in neuronal migration and neurite outgrowth. Based on this, we also propose three novel dyslexia candidate genes (SLIT2, HMGB1 and VAPA) from known linkage regions, and we discuss the possible involvement of genes emerging from the two reported genome-wide association studies for reading impairment-related phenotypes in the identified network.

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Dyslexia and DCDC2: normal variation in reading and spelling is associated with DCDC2 polymorphisms in an Australian population sample

Cited by 75 publications

References 43 publications

SNP Sets and Reading Ability: Testing Confirmation of a 10-SNP Set in a Population Sample

SNP Sets and Reading Ability: Testing Confirmation of a 10-SNP Set in a Population Sample

Whole genome association scan for genetic polymorphisms influencing information processing speed

A theoretical molecular network for dyslexia: integrating available genetic findings

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