Extensive genetic variation in somatic human tissues
Genetic variation between individuals has been extensively investigated, but differences between tissues within individuals are far less understood. It is commonly assumed that all healthy cells that arise from the same zygote possess the same genomic content, with a few known exceptions in the immu...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 109; no. 44; pp. 18018 - 18023 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
30.10.2012
National Acad Sciences |
Subjects | |
Online Access | Get full text |
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Summary: | Genetic variation between individuals has been extensively investigated, but differences between tissues within individuals are far less understood. It is commonly assumed that all healthy cells that arise from the same zygote possess the same genomic content, with a few known exceptions in the immune system and germ line. However, a growing body of evidence shows that genomic variation exists between differentiated tissues. We investigated the scope of somatic genomic variation between tissues within humans. Analysis of copy number variation by high-resolution array-comparative genomic hybridization in diverse tissues from six unrelated subjects reveals a significant number of intraindividual genomic changes between tissues. Many (79%) of these events affect genes. Our results have important consequences for understanding normal genetic and phenotypic variation within individuals, and they have significant implications for both the etiology of genetic diseases such as cancer and for immortalized cell lines that might be used in research and therapeutics. |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 Author contributions: M.O., S.M.W., A.E.U., and M.P.S. designed research; M.O. performed research; A.E.U. contributed new reagents/analytic tools; M.O. and K.J.K. analyzed data; and M.O., S.M.W., A.E.U., and M.P.S. wrote the paper. Contributed by Sherman M. Weissman, August 15, 2012 (sent for review June 22, 2012) |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.1213736109 |