Whole exome sequencing identifies potential candidate genes for spina bifida derived from mouse models. Issue 5 (18th January 2022)

• Record Type: Journal Article
• Authors: Wang, Chunyan; Seltzsam, Steve; Zheng, Bixia; Wu, Chen‐Han Wilfred; Nicolas‐Frank, Camille; Yousef, Kirollos; Au, Kit Sing; Mann, Nina; Pantel, Dalia; Schneider, Sophia; Schierbaum, Luca; Kitzler, Thomas M.; Connaughton, Dervla M.; Mao, Youying; Dai, Rufeng; Nakayama, Makiko; Kari, Jameela A.; El Desoky, Sherif; Shalaby, Mohammed; Eid, Loai A.; Awad, Hazem S.; Tasic, Velibor; Mane, Shrikant M.; Lifton, Richard P.; Baum, Michelle A.; Shril, Shirlee; Estrada, Carlos R.; Hildebrandt, Friedhelm
• Is Part Of: American journal of medical genetics. Volume 188:Issue 5(2022)
• Page Start: 1355
• Page End: 1367
• Publication Date: 2022-01-18
• Subjects: birth defect -- molecular genetic diagnosis -- monogenic disease -- spina bifida -- whole exome sequencing; Medical genetics -- Periodicals; 616.14205
• DOI: 10.1002/ajmg.a.62644
• Languages: English
• ISSNs: 1552-4825

Abstract

Abstract: 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. 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. 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 nonsyndromic 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. 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.