Most computational methods that infer somatic copy number alterations (SCNAs) from bulk sequencing of DNA analyse tumour samples individually. However, the sequencing of multiple tumour samples from a patient's disease is an increasingly common practice. We introduce Refphase, an algorithm that leverages this multi-sampling approach to infer haplotype-specific copy numbers through multi-sample phasing. We demonstrate Refphase's ability to infer haplotype-specific SCNAs and characterise their intra-tumour heterogeneity, to uncover previously undetected allelic imbalance in low purity samples, and to identify parallel evolution in the context of whole genome doubling in a pan-cancer cohort of 336 samples from 99 tumours.
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http://dx.doi.org/10.1371/journal.pcbi.1011379 | DOI Listing |
Front Bioinform
March 2024
Coriell Institute for Medical Research, Camden, NJ, United States.
Long-read sequencing technologies offer new opportunities to generate high-confidence phased whole-genome sequencing data for robust pharmacogenetic annotation. Here, we describe a new user-friendly R package, ursaPGx, designed to accept multi-sample phased whole-genome sequencing data VCF input files and output star allele annotations for pharmacogenes annotated in PharmVar.
View Article and Find Full Text PDFPLoS Comput Biol
October 2023
Institute for Computational Cancer Biology (ICCB), Center for Integrated Oncology (CIO), Cancer Research Center Cologne Essen (CCCE), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Most computational methods that infer somatic copy number alterations (SCNAs) from bulk sequencing of DNA analyse tumour samples individually. However, the sequencing of multiple tumour samples from a patient's disease is an increasingly common practice. We introduce Refphase, an algorithm that leverages this multi-sampling approach to infer haplotype-specific copy numbers through multi-sample phasing.
View Article and Find Full Text PDFNature
November 2020
Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
HLA
August 2020
Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
Accurate rapid genotyping of the genes within the HLA region presents many difficulties because of the complexity of this region. Here we present the results of our proof of concept nanopore-based long read polymerase chain reaction (PCR) solution for HLA genotyping. For 15 HLA anthropology-based samples and 13 NHS Blood and Transplant derived samples 40 ng of genomic DNA underwent long-range PCR for class I and II HLA alleles.
View Article and Find Full Text PDFBMC Genomics
August 2014
Division of Human Genetics, National Institute of Genetics, 1111 Yata, Mishima, 411-8540 Shizuoka, Japan.
Background: Human leukocyte antigen (HLA) is a group of genes that are extremely polymorphic among individuals and populations and have been associated with more than 100 different diseases and adverse drug effects. HLA typing is accordingly an important tool in clinical application, medical research, and population genetics. We have previously developed a phase-defined HLA gene sequencing method using MiSeq sequencing.
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