Whole exome sequencing identifies potential candidate genes for spina bifida derived from mouse models

Autor: Chunyan Wang, Steve Seltzsam, Bixia Zheng, Chen‐Han Wilfred Wu, Camille Nicolas‐Frank, Kirollos Yousef, Kit Sing Au, Nina Mann, Dalia Pantel, Sophia Schneider, Luca Schierbaum, Thomas M. Kitzler, Dervla M. Connaughton, Youying Mao, Rufeng Dai, Makiko Nakayama, Jameela A. Kari, Sherif El Desoky, Mohammed Shalaby, Loai A. Eid, Hazem S. Awad, Velibor Tasic, Shrikant M. Mane, Richard P. Lifton, Michelle A. Baum, Shirlee Shril, Carlos R. Estrada, Friedhelm Hildebrandt
Rok vydání: 2022
Předmět:
Zdroj: Am J Med Genet A
ISSN: 1552-4833
1552-4825
Popis: BACKGROUND: Spina bifida (SB) is the second most common nonlethal congenital malformation. The existence of monogenic SB mouse models and human monogenic syndromes with SB features indicate that human SB may be caused by monogenic genes. We hypothesized that whole exome sequencing (WES) allows identification of potential candidate genes by i) generating a list of 136 candidate genes for SB, and ii) by unbiased exome-wide analysis. METHODS: We generated a list of 136 potential candidate genes from three categories: and evaluated WES data of 50 unrelated SB cases for likely deleterious variants in 136 potential candidate genes, and for potential SB candidate genes exome-wide. RESULTS: We identified 6 likely deleterious variants in 6 of the 136 potential SB candidate genes in 6 of the 50 SB cases, whereof 4 genes were derived from mouse models, 1 gene was derived from human non-syndromic SB, and 1 gene was derived from candidate genes known to cause human syndromic SB. In addition, by unbiased exome-wide analysis, we identified 12 genes as potential candidates for SB. CONCLUSIONS: Identification of these 18 potential candidate genes in larger SB cohorts will help decide which ones can be considered as novel monogenic causes of human SB.
Databáze: OpenAIRE
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