<HashMap><database>EGA</database><scores/><additional><omics_type>Genomics</omics_type><study_type>Whole Genome Sequencing</study_type><full_dataset_link>https://ega-archive.org/studies/EGAS00001000323</full_dataset_link><host>EGA</host><description>EGA study EGAS00001000323</description><dataset_title>Whole genome sequencing of an individual's genomic DNA and that of its lymphoblastoid cell line.</dataset_title><repository>EGA</repository><category>restricted</category><pubmed_abstract>&lt;h4>Background&lt;/h4>A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject's DNA. Although the mechanism of transformation and immortalization by EBV is relatively well known at the transcriptional and proteomic level, the genetic consequences of EBV transformation are less well understood. A detailed analysis of the genetic alterations introduced by EBV transformation is highly relevant, as it will inform on the usefulness and limitations of this approach.&lt;h4>Results&lt;/h4>We used whole genome sequencing to assess the genomic signature of a low-passage lymphoblastoid cell line (LCL). Specifically, we sequenced the full genome (40X) of an individual using DNA purified from fresh whole blood as well as DNA from his LCL. A total of 217.33 Gb of sequence were generated from the cell line and 238.95 Gb from the normal genomic DNA. We determined with high confidence that 99.2% of the genomes were identical, with no reproducible changes in structural variation (chromosomal rearrangements and copy number variations) or insertion/deletion polymorphisms (indels).&lt;h4>Conclusions&lt;/h4>Our results suggest that, at this level of resolution, the LCL is genetically indistinguishable from its genomic counterpart and therefore their use in clinical research is not likely to introduce a significant bias.</pubmed_abstract><pubmed_title>In depth comparison of an individual's DNA and its lymphoblastoid cell line using whole genome sequencing.</pubmed_title><pubmed_authors>Nickles Dorothee D, Madireddy Lohith L, Yang Shan S, Khankhanian Pouya P, Lincoln Steve S, Hauser Stephen L SL, Oksenberg Jorge R JR, Baranzini Sergio E SE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identifying genetic consequences of Epstein-Barr Virus transformation by comparing an individual’s genomic DNA with that of its lymphoblastoid cell line.</name><description>A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject’s DNA. Although the mechanism of transformation and immortalization by EBV is relatively well known at the transcriptional and proteomic level, the genetic consequences of EBV transformation are less well understood. A detailed analysis of the genetic alterations introduced by EBV transformation is highly relevant, as it will inform on the usefulness and limitations of this approach. We used whole genome sequencing to assess the genomic signature of a low-passage lymphoblastoid cell line (LCL). Specifically, we sequenced the full genome (40X) of an individual using DNA purified from fresh whole blood as well as DNA from his LCL. A total of 217.33 Gb of sequence were generated from the cell line and 238.95 Gb from the normal genomic DNA. We determined with high confidence that 99.2% of the genomes were identical, with no reproducible changes in structural variation (chromosomal rearrangements and copy number variations) or insertion/deletion polymorphisms (indels). Our results suggest that, at this level of resolution, the LCL is genetically indistinguishable from its genomic counterpart and therefore their use in clinical research is not likely to introduce a significant bias.</description><dates><updated>2017-07-26 15:39:25</updated></dates><accession>EGAS00001000323</accession><cross_references><TAXONOMY>9606</TAXONOMY><pubmed>22974163</pubmed><EGA>EGAD00001000693</EGA><EGA>EGAC00001000065</EGA></cross_references></HashMap>