| Literature DB >> 28653806 |
Neil A Hanchard1,2, Luis A Umana1, Lisa D'Alessandro3, Mahshid Azamian1, Mojisola Poopola1, Shaine A Morris3, Susan Fernbach1, Seema R Lalani1, Jeffrey A Towbin4, Gloria A Zender5, Sara Fitzgerald-Butt5,6,7, Vidu Garg5,6,7, Jessica Bowman6,7, Gladys Zapata1,2, Patricia Hernandez1,2, Cammon B Arrington8, Dieter Furthner9, Siddharth K Prakash10, Neil E Bowles8, Kim L McBride5,6,7, John W Belmont1,2.
Abstract
Congenital left-sided cardiac lesions (LSLs) are a significant contributor to the mortality and morbidity of congenital heart disease (CHD). Structural copy number variants (CNVs) have been implicated in LSL without extra-cardiac features; however, non-penetrance and variable expressivity have created uncertainty over the use of CNV analyses in such patients. High-density SNP microarray genotyping data were used to infer large, likely-pathogenic, autosomal CNVs in a cohort of 1,139 probands with LSL and their families. CNVs were molecularly confirmed and the medical records of individual carriers reviewed. The gene content of novel CNVs was then compared with public CNV data from CHD patients. Large CNVs (>1 MB) were observed in 33 probands (∼3%). Six of these were de novo and 14 were not observed in the only available parent sample. Associated cardiac phenotypes spanned a broad spectrum without clear predilection. Candidate CNVs were largely non-recurrent, associated with heterozygous loss of copy number, and overlapped known CHD genomic regions. Novel CNV regions were enriched for cardiac development genes, including seven that have not been previously associated with human CHD. CNV analysis can be a clinically useful and molecularly informative tool in LSLs without obvious extra-cardiac defects, and may identify a clinically relevant genomic disorder in a small but important proportion of these individuals.Entities:
Keywords: aortic stenosis; chromosome; coarctation aorta; congenital heart disease; genetic; hypoplastic left heart syndrome
Mesh:
Year: 2017 PMID: 28653806 PMCID: PMC5560080 DOI: 10.1002/ajmg.a.38309
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.802