ArticleNature genetics2018
Integrative detection and analysis of structural variation in cancer genomes.
Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 232 papers.
What it found
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Who cites it
232 citing papers in PubMed, 489 citations in OpenAlex.
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- Evaluation of acute myeloid leukemia using genomic proximity mapping-based next generation cytogenomics.Haematologica · 2026Article
- Structure Variations and 3D Genome Disruption: Implications in Safety of hPSC-Based Cell Therapy.International journal of molecular sciences · 2026Review
- Comparative fine-mapping of breast cancer susceptibility loci using summary statistics methods and multinomial regression.medRxiv : the preprint server for health sciences · 2026Article
- Hi-C for genome-wide detection of enhancer-hijacking rearrangements in routine lymphoid cancer biopsies.Cell genomics · 2026Article
- XtractPAV: an automated pipeline for identifying presence-absence variations across multiple genomes.BMC genomics · 2026Article
- HaploC-tools reveal haplotype-specific chromosome conformation and chromatin states.Nature communications · 2026Article
- REPLAY: A reproducible and user-friendly application for DNA replication timing analysis from Repli-seq data.bioRxiv : the preprint server for biology · 2026Article
- Leveraging a spectrum of cytogenomics methods for profiling complex karyotypes in chronic lymphocytic leukemia.Human genomics · 2026Article
- Parallel analysis of replication timing, gene expression, and copy number with PARTAGE.Genome research · 2026Article
- Bayesian Integrative Detection of Structural Variations With False Discovery Rate Control.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Comprehensive detection of genetic and epigenetic alterations in cancer using long reads with TumorLens.medRxiv : the preprint server for health sciences · 2026Article
- Accurate prediction of cohesin and RNA Polymerase II-associated chromatin interactions using convolutional neural networks.Nucleic acids research · 2026Article
172 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
37 authors at 12 institutions in 3 countries.
Funding
Abstract
Structural variants (SVs) can contribute to oncogenesis through a variety of mechanisms. Despite their importance, the identification of SVs in cancer genomes remains challenging. Here, we present a framework that integrates optical mapping, high-throughput chromosome conformation capture (Hi-C), and whole-genome sequencing to systematically detect SVs in a variety of normal or cancer samples and cell lines. We identify the unique strengths of each method and demonstrate that only integrative approaches can comprehensively identify SVs in the genome. By combining Hi-C and optical mapping, we resolve complex SVs and phase multiple SV events to a single haplotype. Furthermore, we observe widespread structural variation events affecting the functions of noncoding sequences, including the deletion of distal regulatory sequences, alteration of DNA replication timing, and the creation of novel three-dimensional chromatin structural domains. Our results indicate that noncoding SVs may be underappreciated mutational drivers in cancer genomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.