The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Estimate of the Mutation Rate per Nucleotide in Humans
Abstract
Many previous estimates of the mutation rate in humans have relied on screens of visible mutants. We investigated the rate and pattern of mutations at the nucleotide level by comparing pseudogenes in humans and chimpanzees to (i) provide an estimate of the average mutation rate per nucleotide, (ii) assess heterogeneity of mutation rate at different sites and for different types of mutations, (iii) test the hypothesis that the X chromosome has a lower mutation rate than autosomes, and (iv) estimate the deleterious mutation rate. Eighteen processed pseudogenes were sequenced, including 12 on autosomes and 6 on the X chromosome. The average mutation rate was estimated to be ~2.5 × 10−8 mutations per nucleotide site or 175 mutations per diploid genome per generation. Rates of mutation for both transitions and transversions at CpG dinucleotides are one order of magnitude higher than mutation rates at other sites. Single nucleotide substitutions are 10 times more frequent than length mutations. Comparison of rates of evolution for X-linked and autosomal pseudogenes suggests that the male mutation rate is 4 times the female mutation rate, but provides no evidence for a reduction in mutation rate that is specific to the X chromosome. Using conservative calculations of the proportion of the genome subject to purifying selection, we estimate that the genomic deleterious mutation rate (U) is at least 3. This high rate is difficult to reconcile with multiplicative fitness effects of individual mutations and suggests that synergistic epistasis among harmful mutations may be common.
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Cites
Kimura, M. (1980) · Journal of Molecular Evolution · doi:10.1007/bf01731581 · Cited by 29,778
Primer-Directed Enzymatic Amplification of DNA with a Thermostable DNA Polymerase
Saiki, R. K., Gelfand, D. H., Stoffel, S., Scharf, S. J., Higuchi, R., Horn, G. T., Mullis, K. B., & Erlich, H. A. (1988) · Science · doi:10.1126/science.2448875 · Cited by 17,719
A molecular timescale for vertebrate evolution
Kumar, S., & Hedges, S. B. (1998) · Nature · doi:10.1038/31927 · Cited by 1,936
Drake, J. W., Charlesworth, B., Charlesworth, D., & Crow, J. F. (1998) · Genetics · doi:10.1093/genetics/148.4.1667 · Cited by 1,932
A Mathematical Theory of Natural and Artificial Selection, Part V: Selection and Mutation
Haldane, J. B. S. (1927) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100015644 · Cited by 1,326
Goodman, M., Porter, C. A., Czelusniak, J., Page, S. L., Schneider, H., Shoshani, J., Gunnell, G., & Groves, C. P. (1998) · Molecular Phylogenetics and Evolution · doi:10.1006/mpev.1998.0495 · Cited by 743
Cited by
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
Inference of human population history from individual whole-genome sequences
Li, H., & Durbin, R. (2011) · Nature · doi:10.1038/nature10231 · Cited by 2,590
Rate of de novo mutations and the importance of father’s age to disease risk
Kong, A., Frigge, M. L., Masson, G., Besenbacher, S., Sulem, P., Magnusson, G., Gudjonsson, S. A., Sigurdsson, A., Jonasdottir, A., Jonasdottir, A., et al. (2012) · Nature · doi:10.1038/nature11396 · Cited by 2,134
High-resolution haplotype structure in the human genome
Daly, M. J., Rioux, J. D., Schaffner, S. F., Hudson, T. J., & Lander, E. S. (2001) · Nature Genetics · doi:10.1038/ng1001-229 · Cited by 1,717
Copy number variation in human health, disease, and evolution
Zhang, F., Gu, W., Hurles, M. E., & Lupski, J. R. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164217 · Cited by 1,207
Metadata
- Authors
- Nachman, M. W., & Crowell, S. L.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-09-01
- Volume
- 156
- Issue
- 1
- Pages
- 297-304
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2149943693
- Cited by
- 1,209
- References
- 6
- FWCI
- 15.95
- Type
- journal article
- Language
- en
- Open access
- closed
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