16
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Haplotype structure enables prioritization of common markers and candidate genes in autism spectrum disorder

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Autism spectrum disorder (ASD) is a neurodevelopmental condition that results in behavioral, social and communication impairments. ASD has a substantial genetic component, with 88–95% trait concordance among monozygotic twins. Efforts to elucidate the causes of ASD have uncovered hundreds of susceptibility loci and candidate genes. However, owing to its polygenic nature and clinical heterogeneity, only a few of these markers represent clear targets for further analyses. In the present study, we used the linkage structure associated with published genetic markers of ASD to simultaneously improve candidate gene detection while providing a means of prioritizing markers of common genetic variation in ASD. We first mined the literature for linkage and association studies of single-nucleotide polymorphisms, copy-number variations and multi-allelic markers in Autism Genetic Resource Exchange (AGRE) families. From markers that reached genome-wide significance, we calculated male-specific genetic distances, in light of the observed strong male bias in ASD. Four of 67 autism-implicated regions, 3p26.1, 3p26.3, 3q25-27 and 5p15, were enriched with differentially expressed genes in blood and brain from individuals with ASD. Of 30 genes differentially expressed across multiple expression data sets, 21 were within 10 cM of an autism-implicated locus. Among them, CNTN4, CADPS2, SUMF1, SLC9A9, NTRK3 have been previously implicated in autism, whereas others have been implicated in neurological disorders comorbid with ASD. This work leverages the rich multimodal genomic information collected on AGRE families to present an efficient integrative strategy for prioritizing autism candidates and improving our understanding of the relationships among the vast collection of past genetic studies.

          Related collections

          Author and article information

          Journal
          Transl Psychiatry
          Transl Psychiatry
          Translational Psychiatry
          Nature Publishing Group
          2158-3188
          May 2013
          28 May 2013
          1 May 2013
          : 3
          : 5
          : e262
          Affiliations
          [1 ]Center for Biomedical Informatics, Harvard Medical School , Boston, MA, USA
          [2 ]Gertrude H. Sergievsky Center, Columbia University , New York, NY, USA
          [3 ]Harvard-MIT Health Sciences and Technology , Cambridge, MA, USA
          [4 ]Division of Genetics, Program in Genomics, Boston Children's Hospital , Boston, MA, USA
          Author notes
          [* ]Center for Biomedical Informatics, Harvard Medical School , 10 Shattuck Street, Boston, MA 02115, USA. E-mail: dpwall@ 123456hms.harvard.edu
          Article
          tp201338
          10.1038/tp.2013.38
          3669925
          23715297
          41ebab47-1ac1-4743-b925-ddcf2ccfdfe3
          Copyright © 2013 Macmillan Publishers Limited

          This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/

          History
          : 10 December 2012
          : 13 March 2013
          : 21 April 2013
          Categories
          Original Article

          Clinical Psychology & Psychiatry
          agre,autism genetics,autism spectrum disorders,bibliome mining

          Comments

          Comment on this article