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Activity Number:
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523
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Type:
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Invited
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #304935 |
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Title:
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DNA Methylation, Aging, and Cancer
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Author(s):
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Kimberly Siegmund*+ and Paul Marjoram and Darryl Shibata
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Companies:
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University of Southern California and University of Southern California and University of Southern California
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Address:
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, Los Angeles, CA, 90089,
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Keywords:
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population genetics ; most recent common ancestor ; simulation ; rejection methods
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Abstract:
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Researchers are familiar with Knudsen's two-hit model for carcinogenesis, but may not realize one of these hits may be via DNA methylation, not mutation. DNA methylation is an epigenetic modification of DNA that does not involve a change in DNA sequence and is inherited during cell division. At certain genomic sequences, epigenetic errors accumulate at much faster rates than mutations. Such errors primarily accumulate in stem cells, the only long-lived cells in dividing tissues. Little is known about human stem cells due to experimental limitations. We explore a population genetic approach to reconstruct human stem cell histories from methylation errors that occur during genome replication, using methylation as a somatic cell "molecular clock." We simulate data under different population models and apply rejection methods to determine which models fit real data the best.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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