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Combined linkage and linkage disequilibrium analysis of a motor speech phenotype within families ascertained for autism risk loci
Authors:Judy F Flax  Abby Hare  Marco A Azaro  Veronica J Vieland  Linda M Brzustowicz
Institution:1. Department of Genetics, Rutgers University, 145 Bevier Road, Room 224, Piscataway, NJ, 08854, USA
2. Department of Genetics, Rutgers University, 145 Bevier Road, Room 230A, Piscataway, NJ, 08854, USA
3. Department of Genetics, Rutgers University, 145 Bevier Road, Room 226, Piscataway, NJ, 08854, USA
4. Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children’s Hospitaland The Ohio State University, JW3921, 700 Children’s Drive, Columbus, OH, 43205, USA
6. Department of Genetics, Rutgers University, 145 Bevier Road, Room 231, Piscataway, NJ, 08854, USA
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. CONCLUSION: Several 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.
Keywords:Autism  Linkage analysis  Association analysis  Motor Speech Disorder  Autism genes  Ingenuity Pathway Analysis (IPA)  PPL/PPLD
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