Cargando…
Haplotype-based profiling of subtle allelic imbalance with SNP arrays
Due to limitations of surgical dissection and tumor heterogeneity, tumor samples collected for cancer genomics studies are often heavily diluted with normal tissue or contain subpopulations of cells harboring important aberrations. Methods for profiling tumor-associated allelic imbalance in such sce...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530675/ https://www.ncbi.nlm.nih.gov/pubmed/23028187 http://dx.doi.org/10.1101/gr.141374.112 |
_version_ | 1782254045315989504 |
---|---|
author | Vattathil, Selina Scheet, Paul |
author_facet | Vattathil, Selina Scheet, Paul |
author_sort | Vattathil, Selina |
collection | PubMed |
description | Due to limitations of surgical dissection and tumor heterogeneity, tumor samples collected for cancer genomics studies are often heavily diluted with normal tissue or contain subpopulations of cells harboring important aberrations. Methods for profiling tumor-associated allelic imbalance in such scenarios break down at aberrant cell proportions of 10%–15% and below. Here, we present an approach that offers a vast improvement for detection of subtle allelic imbalance, or low proportions of cells harboring aberrant allelic ratio among nonaberrant cells, in unpaired tumor samples using SNP microarrays. We leverage the expected pattern of allele-specific intensity ratios determined by an individual's germline haplotypes, information that has been ignored in existing approaches. We demonstrate our method on real and simulated data from the CRL-2324 breast cancer cell line genotyped on the Illumina 370K array. Assuming a 5 million SNP array, we can detect the presence of aberrant cells in proportions lower than 0.25% in the breast cancer sample, approaching the sensitivity of some minimal residual disease assays. Further, we apply a hidden Markov model to identify copy-neutral LOH (loss of heterozygosity) events as short as 11 Mb in mixtures of only 4% tumor using 370K data. We anticipate our approach will offer a new paradigm for genomic profiling of heterogeneous samples. |
format | Online Article Text |
id | pubmed-3530675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35306752013-07-01 Haplotype-based profiling of subtle allelic imbalance with SNP arrays Vattathil, Selina Scheet, Paul Genome Res Method Due to limitations of surgical dissection and tumor heterogeneity, tumor samples collected for cancer genomics studies are often heavily diluted with normal tissue or contain subpopulations of cells harboring important aberrations. Methods for profiling tumor-associated allelic imbalance in such scenarios break down at aberrant cell proportions of 10%–15% and below. Here, we present an approach that offers a vast improvement for detection of subtle allelic imbalance, or low proportions of cells harboring aberrant allelic ratio among nonaberrant cells, in unpaired tumor samples using SNP microarrays. We leverage the expected pattern of allele-specific intensity ratios determined by an individual's germline haplotypes, information that has been ignored in existing approaches. We demonstrate our method on real and simulated data from the CRL-2324 breast cancer cell line genotyped on the Illumina 370K array. Assuming a 5 million SNP array, we can detect the presence of aberrant cells in proportions lower than 0.25% in the breast cancer sample, approaching the sensitivity of some minimal residual disease assays. Further, we apply a hidden Markov model to identify copy-neutral LOH (loss of heterozygosity) events as short as 11 Mb in mixtures of only 4% tumor using 370K data. We anticipate our approach will offer a new paradigm for genomic profiling of heterogeneous samples. Cold Spring Harbor Laboratory Press 2013-01 /pmc/articles/PMC3530675/ /pubmed/23028187 http://dx.doi.org/10.1101/gr.141374.112 Text en © 2013, Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), as described at http://creativecommons.org/licenses/by-nc/3.0/. |
spellingShingle | Method Vattathil, Selina Scheet, Paul Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title | Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title_full | Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title_fullStr | Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title_full_unstemmed | Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title_short | Haplotype-based profiling of subtle allelic imbalance with SNP arrays |
title_sort | haplotype-based profiling of subtle allelic imbalance with snp arrays |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530675/ https://www.ncbi.nlm.nih.gov/pubmed/23028187 http://dx.doi.org/10.1101/gr.141374.112 |
work_keys_str_mv | AT vattathilselina haplotypebasedprofilingofsubtleallelicimbalancewithsnparrays AT scheetpaul haplotypebasedprofilingofsubtleallelicimbalancewithsnparrays |