Name
Title | ||
|---|---|---|
The Role of Quality Control in Targeted Next-generation Sequencing Library Preparation. |
Abstract | ||
|---|---|---|
Next-generation sequencing (NGS) is getting routinely used in the diagnosis of hereditary diseases, such as human cardiomyopathies. Hence, it is of utter importance to secure high quality sequencing data, enabling the identification of disease-relevant mutations or the conclusion of negative test results. During the process of sample preparation, each protocol for target enrichment library preparation has its own requirements for quality control (QC); however, there is little evidence on the actual impact of these guidelines on resulting data quality. In this study, we analyzed the impact of QC during the diverse library preparation steps of Agilent SureSelect XT target enrichment and Illumina sequencing. We quantified the parameters for a cohort of around 600 samples, which include starting amount of DNA, amount of sheared DNA, smallest and largest fragment size of the starting DNA; amount of DNA after the pre-PCR, and smallest and largest fragment size of the resulting DNA; as well as the amount of the final library, the corresponding smallest and largest fragment size, and the number of detected variants. Intriguingly, there is a high tolerance for variations in all QC steps, meaning that within the boundaries proposed in the current study, a considerable variance at each step of QC can be well tolerated without compromising NGS quality. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.gpb.2016.04.007 | Genomics, Proteomics & Bioinformatics |
Keywords | Field | DocType |
Next-generation sequencing,Quality control,Library preparation,Target enrichment,Sequence variants | Data quality,Biology,Genomic library,Illumina dye sequencing,DNA sequencing,Bioinformatics,Genetics | Journal |
Volume | Issue | ISSN |
14 | 4 | 1672-0229 |
Citations | PageRank | References |
1 | 0.38 | 1 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rouven Nietsch | 1 | 1 | 0.38 |
| Jan Haas | 2 | 70 | 8.23 |
| Alan Lai | 3 | 27 | 2.52 |
| Daniel Oehler | 4 | 2 | 0.76 |
| Stefan Mester | 5 | 1 | 0.38 |
| Karen S. Frese | 6 | 3 | 0.84 |
| Farbod Sedaghat-Hamedani | 7 | 44 | 5.40 |
| Elham Kayvanpour | 8 | 44 | 5.40 |
| Andreas Keller | 9 | 173 | 21.19 |
| Benjamin Meder | 10 | 53 | 6.96 |