4.5 Article

Clinical exome sequencing as the first-tier test for diagnosing developmental disorders covering both CNV and SNV: a Chinese cohort

Journal

JOURNAL OF MEDICAL GENETICS
Volume 57, Issue 8, Pages 558-566

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/jmedgenet-2019-106377

Keywords

clinical exome sequencing; first-tier test; diagnostic rate; genetic spectrum; developmental disorder

Funding

  1. National Natural Science Foundation of China [31701152, 31701138]
  2. National Key Research and Development Program [2016YFC0905102, 2018YFC0116903]
  3. Science and Technology Commission of Shanghai Municipality [16ZR1446500]
  4. Shanghai Sailing Program [16YF1401000]
  5. Shanghai Hospital Development Center [SHDC 12017110]
  6. Shanghai Key Laboratory of Birth Defects [13DZ2260600]
  7. Research projects of the Shanghai municipal health and family planning committee [20174Y0026]

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Background Developmental disorders (DDs) are early onset disorders affecting 5%-10% of children worldwide. Chromosomal microarray analysis detecting CNVs is currently recommended as the first-tier test for DD diagnosis. However, this analysis omits a high percentage of disease-causing single nucleotide variations (SNVs) that warrant further sequencing. Currently, next-generation sequencing can be used in clinical scenarios detecting CNVs, and the use of exome sequencing in the DD cohort ahead of the microarray test has not been evaluated. Methods Clinical exome sequencing (CES) was performed on 1090 unrelated Chinese DD patients who were classified into five phenotype subgroups. CNVs and SNVs were both detected and analysed based on sequencing data. Results An overall diagnostic rate of 41.38% was achieved with the combinational analysis of CNV and SNV. Over 12.02% of patients were diagnosed based on CNV, which was comparable with the published CMA diagnostic rate, while 0.74% were traditionally elusive cases who had dual diagnosis or apparently homozygous mutations that were clarified. The diagnostic rates among subgroups ranged from 21.82% to 50.32%. The top three recurrent cytobands with diagnostic CNVs were 15q11.2-q13.1, 22q11.21 and 7q11.23. The top three genes with diagnostic SNVs were:MECP2,SCN1AandSCN2A. Both the diagnostic rate and spectrums of CNVs and SNVs showed differences among the phenotype subgroups. Conclusion With a higher diagnostic rate, more comprehensive observation of variations and lower cost compared with conventional strategies, simultaneous analysis of CNVs and SNVs based on CES showed potential as a new first-tier choice to diagnose DD.

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