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

JO Korbel, T Tirosh-Wagner… - Proceedings of the …, 2009 - National Acad Sciences
JO Korbel, T Tirosh-Wagner, AE Urban, XN Chen, M Kasowski, L Dai, F Grubert, C Erdman…
Proceedings of the National Academy of Sciences, 2009National Acad Sciences
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 …
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.
National Acad Sciences