ArticleJournal of neurodevelopmental disorders2010
Combined linkage and linkage disequilibrium analysis of a motor speech phenotype within families ascertained for autism risk loci.
Article in Journal of neurodevelopmental disorders, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- A Gene-Based Algorithm for Identifying Factors That May Affect a Speaker's Voice.Entropy (Basel, Switzerland) · 2023Article
- Genetic variants in the transcription regulatory region of MEGF10 are associated with autism in Chinese Han population.Scientific reports · 2017Article
- Bio-collections in autism research.Molecular autism · 2017Review
- Behavioral signatures related to genetic disorders in autism.Molecular autism · 2014Article
- Minimally verbal school-aged children with autism spectrum disorder: the neglected end of the spectrum.Autism research : official journal of the International Society for Autism Research · 2013Review
- KELVIN: a software package for rigorous measurement of statistical evidence in human genetics.Human heredity · 2011Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Using behavioral and genetic information from the Autism Genetics Resource Exchange (AGRE) data set we developed phenotypes and investigated linkage and association for individuals with and without Autism Spectrum Disorders (ASD) who exhibit expressive language behaviors consistent with a motor speech disorder. Speech and language variables from Autism Diagnostic Interview-Revised (ADI-R) were used to develop a motor speech phenotype associated with non-verbal or unintelligible verbal behaviors (NVMSD:ALL) and a related phenotype restricted to individuals without significant comprehension difficulties (NVMSD:C). Using Affymetrix 5.0 data, the PPL framework was employed to assess the strength of evidence for or against trait-marker linkage and linkage disequilibrium (LD) across the genome. Ingenuity Pathway Analysis (IPA) was then utilized to identify potential genes for further investigation. We identified several linkage peaks based on two related language-speech phenotypes consistent with a potential motor speech disorder: chromosomes 1q24.2, 3q25.31, 4q22.3, 5p12, 5q33.1, 17p12, 17q11.2, and 17q22 for NVMSD:ALL and 4p15.2 and 21q22.2 for NVMSD:C. While no compelling evidence of association was obtained under those peaks, we identified several potential genes of interest using IPA.
conclusionSeveral linkage peaks were identified based on two motor speech phenotypes. In the absence of evidence of association under these peaks, we suggest genes for further investigation based on their biological functions. Given that autism spectrum disorders are complex with a wide range of behaviors and a large number of underlying genes, these speech phenotypes may belong to a group of several that should be considered when developing narrow, well-defined, phenotypes in the attempt to reduce genetic heterogeneity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11689-010-9063-2) contains supplementary material, which is available to authorized users.
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Registered trials
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