4.4 Article

Whole exome sequencing of fetal structural anomalies detected by ultrasonography

期刊

JOURNAL OF HUMAN GENETICS
卷 66, 期 5, 页码 499-507

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SPRINGERNATURE
DOI: 10.1038/s10038-020-00869-8

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资金

  1. Japan Agency for Medical Research and Development (AMED) [JP19ek0109280, JP19dm0107090, JP19ek0109301, JP19ek0109348, JP19kk0205001]
  2. Japan Society for the Promotion of Science (JSPS) KAKENHI [JP17H01539, JP16H05357, JP16H06254, JP17K16132, JP17K10080, JP17K15630, JP17H06994]
  3. Ministry of Health, Labour and Welfare [30-6, 30-7]
  4. Takeda Science Foundation

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This study evaluated the efficacy of whole exome sequencing (WES) for genetic diagnosis in cases with fetal structural anomalies detected by ultrasonography. The study found that fetal phenotype alone could identify potential genetic variants, but combining postnatal phenotype information could improve diagnostic rates. It emphasizes the importance of detailed phenotyping for better diagnostic rates in WES analysis.
The objective of this study was to evaluate the efficacy of whole exome sequencing (WES) for the genetic diagnosis of cases presenting with fetal structural anomalies detected by ultrasonography. WES was performed on 19 cases with prenatal structural anomalies. Genomic DNA was extracted from umbilical cords or umbilical blood obtained shortly after birth. WES data were analyzed on prenatal phenotypes alone, and the data were re-analyzed after information regarding the postnatal phenotype was obtained. Based solely on the fetal phenotype, pathogenic, or likely pathogenic, single nucleotide variants were identified in 5 of 19 (26.3%) cases. Moreover, we detected trisomy 21 in two cases by WES-based copy number variation analysis. The overall diagnostic rate was 36.8% (7/19). They were all compatible with respective fetal structural anomalies. By referring to postnatal phenotype information, another candidate variant was identified by a postnatal clinical feature that was not detected in prenatal screening. As detailed phenotyping is desirable for better diagnostic rates in WES analysis, we should be aware that fetal phenotype is a useful, but sometimes limited source of information for comprehensive genetic analysis. It is important to amass more data of genotype-phenotype correlations, especially to appropriately assess the validity of WES in prenatal settings.

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