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Record W7132948421

A genetic association study of reading disabilities and attention deficit hyperactivity disorder with a candidate region on chromosome 6p and a gene on chromosome 1p

2008· dissertation· W7132948421 on OpenAlexfundno aff
Jillian Michelle Couto

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsCandidate geneReading disabilityGenetic associationLocus (genetics)Association (psychology)Genetic linkageGeneDyslexiaTwin study
DOInot available

Abstract

fetched live from OpenAlex

Extensive inter-disciplinary research into the etiology of developmental of Reading Disabilities (RD) strongly supports a genetic basis for this disorder and the components of reading and reading-related processes. Genetic linkage and association studies have identified four candidate genes thus far. Twin studies also support a genetic basis for the overlap between RD and Attention Deficit/Hyperactivity Disorder (ADHD). This overlap is especially prominent for RD and inattention symptoms of ADHD. The aim of this work was to identify susceptibility genes for RD on two previously linked chromosomal regions, 6p and 1p, and investigate whether these genes were also contributing to ADHD. The RD locus on 1p has been supported by three linkage studies. We focused on a candidate gene in this region called KIAA0319-Like, a homolog of KIAA0319 on 6p. We found evidence for association with RD, and quantitative measures of word reading efficiency, and rapid naming of objects and colours. We were unable to replicate the association finding for word reading efficiency in an independent population-based sample, unelected for reading ability. This gene was also investigated for association with ADHD, and here preliminary evidence in support of this gene as a candidate for ADHD was found. Further studies are now required to test this hypothesis. Studies of 6p have identified five RD candidate genes, VMP, DCDC2, KIAA0319, TTRAP and THEM2, from which DCDC2 and KIAA0319 have received the most support. These genes were investigated for association with RD, and the most consistent support was found for KIAA0319, however some association was also found for VMP. Due to the proposed importance of gene regulation in RD, we identified a site that might have an effect on expression of KIAA0319. This site as well as the immediately surrounding sequence is supported by association findings from multiple studies, including our own and we propose that causal variants for RD could be located within it. Markers within KIAA0319 and VMP previously associated with RD were also investigated for association with ADHD. In this study, VMP showed stronger evidence for association to ADHD, and we propose that this gene could also be contributing to ADHD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.314
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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