ArticleBMC genomics2013
Accurate detection of subclonal single nucleotide variants in whole genome amplified and pooled cancer samples using HaloPlex target enrichment.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 27 citations in OpenAlex.
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- Targeted Genomic Sequencing ofHuman mutation · 2023Article
- Target Enrichment Approaches for Next-Generation Sequencing Applications in Oncology.Diagnostics (Basel, Switzerland) · 2022Review
- Multiclonal complexity of pediatric acute lymphoblastic leukemia and the prognostic relevance of subclonal mutationsHaematologica · 2021Article
- Development and validation of a whole-exome sequencing test for simultaneous detection of point mutations, indels and copy-number alterations for precision cancer care.NPJ genomic medicine · 2016Article
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- Targeted next-generation sequencing effectively analyzed the cystic fibrosis transmembrane conductance regulator gene in pancreatitis.Digestive diseases and sciences · 2015Article
- Panel-based genetic diagnostic testing for inherited eye diseases is highly accurate and reproducible, and more sensitive for variant detection, than exome sequencing.Genetics in medicine : official journal of the American College of Medical Genetics · 2015Article
- Targeted Next Generation Sequencing reveals previously unidentified TSC1 and TSC2 mutations.BMC medical genetics · 2015Article
- Characterization of gene mutations and copy number changes in acute myeloid leukemia using a rapid target enrichment protocol.Haematologica · 2015Article
- The mutational landscape in pediatric acute lymphoblastic leukemia deciphered by whole genome sequencing.Human mutation · 2015Article
- Phenotypic heterogeneity in monogenic diabetes: the clinical and diagnostic utility of a gene panel-based next-generation sequencing approach.Molecular genetics and metabolism · 2014Article
- MotorPlex provides accurate variant detection across large muscle genes both in single myopathic patients and in pools of DNA samples.Acta neuropathologica communications · 2014Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTarget enrichment and resequencing is a widely used approach for identification of cancer genes and genetic variants associated with diseases. Although cost effective compared to whole genome sequencing, analysis of many samples constitutes a significant cost, which could be reduced by pooling samples before capture. Another limitation to the number of cancer samples that can be analyzed is often the amount of available tumor DNA. We evaluated the performance of whole genome amplified DNA and the power to detect subclonal somatic single nucleotide variants in non-indexed pools of cancer samples using the HaloPlex technology for target enrichment and next generation sequencing.
resultsWe captured a set of 1528 putative somatic single nucleotide variants and germline SNPs, which were identified by whole genome sequencing, with the HaloPlex technology and sequenced to a depth of 792-1752. We found that the allele fractions of the analyzed variants are well preserved during whole genome amplification and that capture specificity or variant calling is not affected. We detected a large majority of the known single nucleotide variants present uniquely in one sample with allele fractions as low as 0.1 in non-indexed pools of up to ten samples. We also identified and experimentally validated six novel variants in the samples included in the pools.
conclusionOur work demonstrates that whole genome amplified DNA can be used for target enrichment equally well as genomic DNA and that accurate variant detection is possible in non-indexed pools of cancer samples. These findings show that analysis of a large number of samples is feasible at low cost, even when only small amounts of DNA is available, and thereby significantly increases the chances of indentifying recurrent mutations in cancer samples.
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