| Literature DB >> 28247551 |
Yiyun Chen1, Justin Bartanus1, Desheng Liang2, Hongmin Zhu3, Amy M Breman4,5, Janice L Smith4,5, Hua Wang6, Zhilin Ren3, Ankita Patel4,5, Pawel Stankiewicz4,5, David S Cram3, Sau Wai Cheung4,5, Lingqian Wu2, Fuli Yu1,3.
Abstract
Detailed characterization of chromosomal abnormalities, a common cause for congenital abnormalities and pregnancy loss, is critical for elucidating genes for human fetal development. Here, 2,186 product-of-conception samples were tested for copy-number variations (CNVs) at two clinical diagnostic centers using whole-genome sequencing and high-resolution chromosomal microarray analysis. We developed a new gene discovery approach to predict potential developmental genes and identified 275 candidate genes from CNVs detected from both datasets. Based on Mouse Genome Informatics (MGI) and Zebrafish model organism database (ZFIN), 75% of identified genes could lead to developmental defects when mutated. Genes involved in embryonic development, gene transcription, and regulation of biological processes were significantly enriched. Especially, transcription factors and gene families sharing specific protein domains predominated, which included known developmental genes such as HOX, NKX homeodomain genes, and helix-loop-helix containing HAND2, NEUROG2, and NEUROD1 as well as potential novel developmental genes. We observed that developmental genes were denser in certain chromosomal regions, enabling identification of 31 potential genomic loci with clustered genes associated with development.Entities:
Keywords: CMA; CNVs; WGS; congenital malformations; essential gene prediction; pregnancy loss
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Year: 2017 PMID: 28247551 PMCID: PMC5671119 DOI: 10.1002/humu.23207
Source DB: PubMed Journal: Hum Mutat ISSN: 1059-7794 Impact factor: 4.878