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The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies.

Authors:
Jan O Korbel Tal Tirosh-Wagner Alexander Eckehart Urban Xiao-Ning Chen Maya Kasowski Li Dai Fabian Grubert Chandra Erdman Michael C Gao Ken Lange Eric M Sobel Gillian M Barlow Arthur S Aylsworth Nancy J Carpenter Robin Dawn Clark Monika Y Cohen Eric Doran Tzipora Falik-Zaccai Susan O Lewin Ira T Lott Barbara C McGillivray John B Moeschler Mark J Pettenati Siegfried M Pueschel Kathleen W Rao Lisa G Shaffer Mordechai Shohat Alexander J Van Riper Dorothy Warburton Sherman Weissman Mark B Gerstein Michael Snyder Julie R Korenberg

Proc Natl Acad Sci U S A 2009 Jul 13;106(29):12031-6. Epub 2009 Jul 13.

Department of Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06520, USA.

Down syndrome (DS), or trisomy 21, is a common disorder associated with several complex clinical phenotypes. Although several hypotheses have been put forward, it is unclear as to whether particular gene loci on chromosome 21 (HSA21) are sufficient to cause DS and its associated features. Here we present a high-resolution genetic map of DS phenotypes based on an analysis of 30 subjects carrying rare segmental trisomies of various regions of HSA21. By using state-of-the-art genomics technologies we mapped segmental trisomies at exon-level resolution and identified discrete regions of 1.8-16.3 Mb likely to be involved in the development of 8 DS phenotypes, 4 of which are congenital malformations, including acute megakaryocytic leukemia, transient myeloproliferative disorder, Hirschsprung disease, duodenal stenosis, imperforate anus, severe mental retardation, DS-Alzheimer Disease, and DS-specific congenital heart disease (DSCHD). Our DS-phenotypic maps located DSCHD to a <2-Mb interval. Furthermore, the map enabled us to present evidence against the necessary involvement of other loci as well as specific hypotheses that have been put forward in relation to the etiology of DS-i.e., the presence of a single DS consensus region and the sufficiency of DSCR1 and DYRK1A, or APP, in causing several severe DS phenotypes. Our study demonstrates the value of combining advanced genomics with cohorts of rare patients for studying DS, a prototype for the role of copy-number variation in complex disease.

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http://dx.doi.org/10.1073/pnas.0813248106DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709665PMC
July 2009

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