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PIK3CA-associated developmental disorders exhibit distinct classes of mutations with variable expression and tissue distribution
Ghayda Mirzaa, … , Renzo Guerrini, William B. Dobyns
Ghayda Mirzaa, … , Renzo Guerrini, William B. Dobyns
Published June 16, 2016
Citation Information: JCI Insight. 2016;1(9):e87623. https://doi.org/10.1172/jci.insight.87623.
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Research Article Genetics

PIK3CA-associated developmental disorders exhibit distinct classes of mutations with variable expression and tissue distribution

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Abstract

Mosaicism is increasingly recognized as a cause of developmental disorders with the advent of next-generation sequencing (NGS). Mosaic mutations of PIK3CA have been associated with the widest spectrum of phenotypes associated with overgrowth and vascular malformations. We performed targeted NGS using 2 independent deep-coverage methods that utilize molecular inversion probes and amplicon sequencing in a cohort of 241 samples from 181 individuals with brain and/or body overgrowth. We identified PIK3CA mutations in 60 individuals. Several other individuals (n = 12) were identified separately to have mutations in PIK3CA by clinical targeted-panel testing (n = 6), whole-exome sequencing (n = 5), or Sanger sequencing (n = 1). Based on the clinical and molecular features, this cohort segregated into three distinct groups: (a) severe focal overgrowth due to low-level but highly activating (hotspot) mutations, (b) predominantly brain overgrowth and less severe somatic overgrowth due to less-activating mutations, and (c) intermediate phenotypes (capillary malformations with overgrowth) with intermediately activating mutations. Sixteen of 29 PIK3CA mutations were novel. We also identified constitutional PIK3CA mutations in 10 patients. Our molecular data, combined with review of the literature, show that PIK3CA-related overgrowth disorders comprise a discontinuous spectrum of disorders that correlate with the severity and distribution of mutations.

Authors

Ghayda Mirzaa, Andrew E. Timms, Valerio Conti, Evan August Boyle, Katta M. Girisha, Beth Martin, Martin Kircher, Carissa Olds, Jane Juusola, Sarah Collins, Kaylee Park, Melissa Carter, Ian Glass, Inge Krägeloh-Mann, David Chitayat, Aditi Shah Parikh, Rachael Bradshaw, Erin Torti, Stephen Braddock, Leah Burke, Sondhya Ghedia, Mark Stephan, Fiona Stewart, Chitra Prasad, Melanie Napier, Sulagna Saitta, Rachel Straussberg, Michael Gabbett, Bridget C. O’Connor, Catherine E. Keegan, Lim Jiin Yin, Angeline Hwei Meeng Lai, Nicole Martin, Margaret McKinnon, Marie-Claude Addor, Luigi Boccuto, Charles E. Schwartz, Agustina Lanoel, Robert L. Conway, Koenraad Devriendt, Katrina Tatton-Brown, Mary Ella Pierpont, Michael Painter, Lisa Worgan, James Reggin, Raoul Hennekam, Karen Tsuchiya, Colin C. Pritchard, Mariana Aracena, Karen W. Gripp, Maria Cordisco, Hilde Van Esch, Livia Garavelli, Cynthia Curry, Anne Goriely, Hulya Kayserilli, Jay Shendure, John Graham Jr., Renzo Guerrini, William B. Dobyns

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Figure 2

Distribution of PIK3CA mutations by functional domain in cancer and developmental (pediatric) disorders.

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Distribution of PIK3CA mutations by functional domain in cancer and deve...
Graph showing the number of published PIK3CA mutations by amino acid location in the Catalogue of Somatic Mutations in Cancer (COSMIC) database of somatic variation in cancer (shown in green; last accessed May 2016) and in children with developmental disorders comparing the megalencephaly-capillary malformation syndrome (MCAP; shown in blue) and all other developmental disorders (shown in orange). Mutations shown include those reported in this study as well as published mutations. Notes: (a) The 2-tailed P value by Fisher’s exact test was less than 0.0001, supporting that the association between MCAP and non-hotspot mutations and non-MCAP and hotspot associations is extremely statistically significant. (b) “Hotspot” mutations in this analysis are the most activating mutations in somatic tissues in cancer (p.Glu542Lys, p.Glu545Lys, p.His1047Arg) (13).

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