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Differences between the genomes of lymphoblastoid cell lines and blood-derived samples

Overview of attention for article published in Advances in Genomics and Genetics, February 2017
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Title
Differences between the genomes of lymphoblastoid cell lines and blood-derived samples
Published in
Advances in Genomics and Genetics, February 2017
DOI 10.2147/agg.s128824
Pubmed ID
Authors

Lena M Joesch-Cohen, Gustavo Glusman

Abstract

Lymphoblastoid cell lines (LCLs) represent a convenient research tool for expanding the amount of biologic material available from an individual. LCLs are commonly used as reference materials, most notably from the Genome in a Bottle Consortium. However, the question remains how faithfully LCL-derived genome assemblies represent the germline genome of the donor individual as compared to the genome assemblies derived from peripheral blood mononuclear cells. We present an in-depth comparison of a large collection of LCL- and peripheral blood mononuclear cell-derived genomes in terms of distributions of coverage and copy number alterations. We found significant differences in the depth of coverage and copy number calls, which may be driven by differential replication timing. Importantly, these copy number changes preferentially affect regions closer to genes and with higher GC content. This suggests that genomic studies based on LCLs may display locus-specific biases, and that conclusions based on analysis of depth of coverage and copy number variation may require further scrutiny.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 36%
Researcher 7 25%
Student > Doctoral Student 2 7%
Professor 2 7%
Other 1 4%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 39%
Agricultural and Biological Sciences 4 14%
Medicine and Dentistry 3 11%
Immunology and Microbiology 3 11%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 5 18%