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Updated: May 2, 2026

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Genome-wide Determination of Mammalian Replication Timing by DNA Content Measurement
Published on: January 19, 2017
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Complex correlations: replication timing and mutational landscapes during cancer and genome evolution.
1Department of Biological Science, Florida State University, Tallahassee, FL 32306, USA.
Current Opinion in Genetics & Development
|March 7, 2014
Summary
Replication timing (RT) correlates with mutation types in evolution and cancer, but the mechanisms for copy number changes remain unclear. Further research needs matched datasets and consideration of developmental variation.
Area of Science:
- Genomics
- Molecular Biology
- Evolutionary Biology
Background:
- Recent studies link replication timing (RT) to mutation rates in evolution and cancer.
- Specific mutations (point mutations, copy number losses) associate with late replication, while gains and rearrangements associate with early replication.
Purpose of the Study:
- To explore the correlation between replication timing and mutation rates.
- To investigate potential mechanisms driving these correlations.
- To address limitations in existing studies, such as data matching and developmental variation.
Main Methods:
- Analysis of replication timing (RT) data.
- Examination of mutation rates, including point mutations, copy number variations, and rearrangements.
- Review of existing literature and proposed mechanisms.
Main Results:
- Point mutations and copy number losses are linked to late replication.
- Copy number gains and other genomic rearrangements are linked to early replication.
- Proposed mechanisms include temporal variation in DNA repair and transcription-induced breaks.
Conclusions:
- While plausible mechanisms exist for some mutation types, the enrichment of copy number gains and losses with replication timing remains an enigma.
- Many current conclusions are limited by inadequate datasets and the exclusion of developmental RT variations.
- Future studies require matched RT and sequence data, and should account for germline evolution dynamics.
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