SMARCB1型
ARID1A型
SMARCA4型
生物
表型
遗传学
瑞士/瑞士法郎
外显子组测序
生殖系
突变
基因
基因型
表观遗传学
染色质重塑
作者
Gijs W.E. Santen,Emmelien Aten,Anneke T. Vulto‐van Silfhout,Caroline Pottinger,Bregje W.M. van Bon,Ivonne J.H.M. van Minderhout,Ronelle Snowdowne,Christian A.C. van der Lans,Merel W. Boogaard,Margot M. Linssen,Linda Vijfhuizen,Michiel J.R. van der Wielen,M.J. Ellen Vollebregt,Martijn H. Breuning,Marjolein Kriek,Arie van Haeringen,Johan T. den Dunnen,Alexander Hoischen,Jill Clayton‐Smith,Bert B.A. de Vries
出处
期刊:Human Mutation
[Wiley]
日期:2013-08-08
卷期号:34 (11): 1519-1528
被引量:200
摘要
De novo germline variants in several components of the SWI/SNF-like BAF complex can cause Coffin-Siris syndrome (CSS), Nicolaides-Baraitser syndrome (NCBRS), and nonsyndromic intellectual disability. We screened 63 patients with a clinical diagnosis of CSS for these genes (ARID1A, ARID1B, SMARCA2, SMARCA4, SMARCB1, and SMARCE1) and identified pathogenic variants in 45 (71%) patients. We found a high proportion of variants in ARID1B (68%). All four pathogenic variants in ARID1A appeared to be mosaic. By using all variants from the Exome Variant Server as test data, we were able to classify variants in ARID1A, ARID1B, and SMARCB1 reliably as being pathogenic or nonpathogenic. For SMARCA2, SMARCA4, and SMARCE1 several variants in the EVS remained unclassified, underlining the importance of parental testing. We have entered all variant and clinical information in LOVD-powered databases to facilitate further genotype-phenotype correlations, as these will become increasingly important because of the uptake of targeted and untargeted next generation sequencing in diagnostics. The emerging phenotype-genotype correlation is that SMARCB1 patients have the most marked physical phenotype and severe cognitive and growth delay. The variability in phenotype seems most marked in ARID1A and ARID1B patients. Distal limbs anomalies are most marked in ARID1A patients and least in SMARCB1 patients. Numbers are small however, and larger series are needed to confirm this correlation.
科研通智能强力驱动
Strongly Powered by AbleSci AI