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. 2021 Dec:523:163-168.
doi: 10.1016/j.cca.2021.09.015. Epub 2021 Sep 21.

Increase in diagnostic yield achieved for 174 whole-exome sequencing cases reanalyzed 1-2 years after initial analysis

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Increase in diagnostic yield achieved for 174 whole-exome sequencing cases reanalyzed 1-2 years after initial analysis

Yingdi Liu et al. Clin Chim Acta. 2021 Dec.

Abstract

Background: Some missed diagnoses have been presented in whole-exome sequencing (WES) analysis for cases with possible Mendelian diseases. To assess how much contributions of WES reanalysis might improve diagnostic yield, we reviewed the WES data of 174 undiagnosed cases.

Methods: We performed reanalysis with an updated bioinformatics pipeline involving better algorithms and updated databases so that CNVs and SNVs in intron regions and InDels within 10-50 bp can be detected. Upgraded variant interpretation processes, including updated software packages, databases and literature, expanded knowledge of genes and diseases, extended filtering conditions and phenotype reevaluation, were also implemented for reanalysis. Candidate variants were classified by ACMG guidelines and certified by Sanger sequencing, qPCR or MLPA.

Results: Fourteen additional cases received new diagnosis in the reanalysis. The results which became positive were sorted according to the following aspects: detection of CNVs; diagnosis by SNVs in intron regions or InDels within 10-50 bp; reclassification due to new reports of variants or gene-disease relationships; digenic inheritance leading to disease; disease caused by frequent variations in the general population; and accurate phenotype assessment enabling the establishment of the molecular diagnosis.

Conclusion: Our study improved diagnosis yield through an optimized bioinformatics pipeline and variant interpretation strategy of WES and provided analysis experience learned from the WES reanalysis to reduce missed diagnoses.

Keywords: Bioinformatics pipeline; Variant interpretation; WES reanalysis; Whole-exome sequencing (WES).

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