Title | Prioritization of Candidate Genes for Congenital Diaphragmatic Hernia in a Critical Region on Chromosome 4p16 using a Machine-Learning Algorithm. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Callaway, DA, Campbell, IM, Stover, SR, Hernandez-Garcia, A, Jhangiani, SN, Punetha, J, Paine, IS, Posey, JE, Muzny, DM, Lally, KP, Lupski, JR, Shaw, CA, Fernandes, CJ, Scott, DA |
Journal | J Pediatr Genet |
Volume | 7 |
Issue | 4 |
Pagination | 164-173 |
Date Published | 2018 Dec |
ISSN | 2146-4596 |
Abstract | Wolf-Hirschhorn syndrome (WHS) is caused by partial deletion of the short arm of chromosome 4 and is characterized by dysmorphic facies, congenital heart defects, intellectual/developmental disability, and increased risk for congenital diaphragmatic hernia (CDH). In this report, we describe a stillborn girl with WHS and a large CDH. A literature review revealed 15 cases of WHS with CDH, which overlap a 2.3-Mb CDH critical region. We applied a machine-learning algorithm that integrates large-scale genomic knowledge to genes within the 4p16.3 CDH critical region and identified , , , , , , , and as genes whose haploinsufficiency may contribute to the development of CDH. |
DOI | 10.1055/s-0038-1655755 |
Alternate Journal | J Pediatr Genet |
PubMed ID | 30430034 |
PubMed Central ID | PMC6234038 |
Grant List | K08 HG008986 / HG / NHGRI NIH HHS / United States UM1 HG006542 / HG / NHGRI NIH HHS / United States |