Literature DB >> 16078860

The Autism Genome Project: goals and strategies.

Diane Hu-Lince1, David W Craig, Matthew J Huentelman, Dietrich A Stephan.   

Abstract

Autism is a complex neurodevelopmental disorder with a broad spectrum of symptoms and varying severity. Currently, no biological diagnosis exists. Although there has been a significant increase in autism genetics research recently, validated susceptibility genes for the most common, sporadic forms of autistic disorder, as well as familial autism, have yet to be identified. The identification of autism-susceptibility genes will not only assist in the identification and/or development of better medications that can help improve the health and neurodevelopment of children with autism, but will also allow for better perinatal diagnosis. The Autism Genome Project (AGP) is a large-scale, collaborative genetics research project initiated by the National Alliance for Autism Research and the National Institutes of Health, and is aimed at sifting through the human genome in search of autism-susceptibility genes. Phase I of the AGP will consist of genome-wide scans utilizing both SNP array and microsatellite technologies. Linkage analysis will subsequently be performed on approximately 1500 pedigrees as will downstream fine-mapping and sequencing of the critical linkage intervals. Ultimately, the vision will be to identify the exact nucleotide variants within genes which give rise to predisposition. The AGP intends to move the field of autism clinical management forward by answering questions about the causal mechanisms underlying the pathophysiology of autism. From this knowledge, therapeutic targets for drug treatments, and ultimately, a newborn screening diagnostic that would allow for early intervention, can begin to be developed.

Entities:  

Mesh:

Year:  2005        PMID: 16078860     DOI: 10.2165/00129785-200505040-00004

Source DB:  PubMed          Journal:  Am J Pharmacogenomics        ISSN: 1175-2203


  14 in total

1.  Savant: genome browser for high-throughput sequencing data.

Authors:  Marc Fiume; Vanessa Williams; Andrew Brook; Michael Brudno
Journal:  Bioinformatics       Date:  2010-06-20       Impact factor: 6.937

2.  Unraveling autism.

Authors:  Dietrich A Stephan
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

3.  Phenotypes of Drosophila brain neurons in primary culture reveal a role for fascin in neurite shape and trajectory.

Authors:  Robert Kraft; Mindy M Escobar; Martha L Narro; Jackie L Kurtis; Alon Efrat; Kobus Barnard; Linda L Restifo
Journal:  J Neurosci       Date:  2006-08-23       Impact factor: 6.167

4.  Using global unique identifiers to link autism collections.

Authors:  Stephen B Johnson; Glen Whitney; Matthew McAuliffe; Hailong Wang; Evan McCreedy; Leon Rozenblit; Clark C Evans
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

5.  A Role for Gene-Environment Interactions in Autism Spectrum Disorder Is Supported by Variants in Genes Regulating the Effects of Exposure to Xenobiotics.

Authors:  João Xavier Santos; Célia Rasga; Ana Rita Marques; Hugo Martiniano; Muhammad Asif; Joana Vilela; Guiomar Oliveira; Lisete Sousa; Ana Nunes; Astrid M Vicente
Journal:  Front Neurosci       Date:  2022-05-19       Impact factor: 5.152

Review 6.  Translational disease interpretation with molecular networks.

Authors:  Anaïs Baudot; Gonzalo Gómez-López; Alfonso Valencia
Journal:  Genome Biol       Date:  2009-06-29       Impact factor: 13.583

7.  Consanguinity mapping of congenital heart disease in a South Indian population.

Authors:  Tracy L McGregor; Amit Misri; Jackie Bartlett; Guilherme Orabona; Richard D Friedman; David Sexton; Sunita Maheshwari; Thomas M Morgan
Journal:  PLoS One       Date:  2010-04-21       Impact factor: 3.240

8.  High-density SNP association study of the 17q21 chromosomal region linked to autism identifies CACNA1G as a novel candidate gene.

Authors:  S P Strom; J L Stone; J R Ten Bosch; B Merriman; R M Cantor; D H Geschwind; S F Nelson
Journal:  Mol Psychiatry       Date:  2009-05-19       Impact factor: 15.992

Review 9.  Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.

Authors:  Peter Washington; Natalie Park; Parishkrita Srivastava; Catalin Voss; Aaron Kline; Maya Varma; Qandeel Tariq; Haik Kalantarian; Jessey Schwartz; Ritik Patnaik; Brianna Chrisman; Nathaniel Stockham; Kelley Paskov; Nick Haber; Dennis P Wall
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-12-13

10.  Childhood disintegrative disorder with seasonal total mutism: A rare clinical presentation.

Authors:  Elham Shirazi; Sara Hosseinpoor; Seyyed Mohammad Mahdy Mirhosseini; Reza Bidaki
Journal:  Adv Biomed Res       Date:  2016-03-04
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