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. 2023 Apr 5;16(1):74.
doi: 10.1186/s12920-023-01495-x.

Test development, optimization and validation of a WGS pipeline for genetic disorders

Ziying Yang #  1   2   3 , Xu Yang #  4 , Yan Sun #  5 , Yaoshen Wang #  2   3 , Lijie Song #  2   3   6 , Zhihong Qiao #  2   3 , Zhonghai Fang  2   3 , Zhonghua Wang  2   3 , Lipei Liu  2   3 , Yunmei Chen  2   3 , Saiying Yan  2   3 , Xueqin Guo  7 , Junqing Zhang  2   3 , Chunna Fan  2   3 , Fengxia Liu  2   3 , Zhiyu Peng  5 , Huanhuan Peng  8 , Jun Sun  9   10 , Wei Chen  11
Affiliations

Test development, optimization and validation of a WGS pipeline for genetic disorders

Ziying Yang et al. BMC Med Genomics. .

Abstract

Background: With advances in massive parallel sequencing (MPS) technology, whole-genome sequencing (WGS) has gradually evolved into the first-tier diagnostic test for genetic disorders. However, deployment practice and pipeline testing for clinical WGS are lacking.

Methods: In this study, we introduced a whole WGS pipeline for genetic disorders, which included the entire process from obtaining a sample to clinical reporting. All samples that underwent WGS were constructed using polymerase chain reaction (PCR)-free library preparation protocols and sequenced on the MGISEQ-2000 platform. Bioinformatics pipelines were developed for the simultaneous detection of various types of variants, including single nucleotide variants (SNVs), insertions and deletions (indels), copy number variants (CNVs) and balanced rearrangements, mitochondrial (MT) variants, and other complex variants such as repeat expansion, pseudogenes and absence of heterozygosity (AOH). A semiautomatic pipeline was developed for the interpretation of potential SNVs and CNVs. Forty-five samples (including 14 positive commercially available samples, 23 laboratory-held positive cell lines and 8 clinical cases) with known variants were used to validate the whole pipeline.

Results: In this study, a whole WGS pipeline for genetic disorders was developed and optimized. Forty-five samples with known variants (6 with SNVs and Indels, 3 with MT variants, 5 with aneuploidies, 1 with triploidy, 23 with CNVs, 5 with balanced rearrangements, 2 with repeat expansions, 1 with AOHs, and 1 with exon 7-8 deletion of SMN1 gene) validated the effectiveness of our pipeline.

Conclusions: This study has been piloted in test development, optimization, and validation of the WGS pipeline for genetic disorders. A set of best practices were recommended using our pipeline, along with a dataset of positive samples for benchmarking.

Keywords: Bioinformatics pipelines; Clinical diagnosis; Genetic disorders; Whole genome sequencing.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

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Fig. 1
Study design
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