The DOI matches its Crossref record.
Microsatellites: Evolution and Applications
Abstract
Microsatellites are short stretches of repeated DNA, found in most genomes, that show exceptional variability in humans and most other species. This variability has made microsatellites the genetic marker of choice for most applications, including genetic mapping and studies of the evolutionary connections between species and populations. This book brings together an international group of scientists currently working in microsatellites. Their contributions provide a detailed description of microsatellite biology, focusing on their mutation properties, generation, decay, and possible functional roles. They introduce the theoretical models that underpin the most popular methods for analysing the information that microsatellites can yield, including methods for estimating coalescent times, population divergences, and migration. Finally, the book describes the various ways in which the potential of microsatellites is being harnessed in a range of applications including medical genetics, forensics, genetic mapping, the analysis of human evolution, and conservation genetics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Detecting recent positive selection in the human genome from haplotype structure
Sabeti, P. C., Reich, D. E., Higgins, J. M., Levine, H. Z. P., Richter, D. J., Schaffner, S. F., Gabriel, S. B., Platko, J. V., Patterson, N. J., McDonald, G. J., et al. (2002) · Nature · doi:10.1038/nature01140 · Cited by 2,106
Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies
Pritchard, J. K., & Rosenberg, N. A. (1999) · The American Journal of Human Genetics · doi:10.1086/302449 · Cited by 1,198
Rosenberg, N. A. (2011) · Human Biology · doi:10.3378/027.083.0601 · Cited by 100
Tatarenkov, A., Ring, B. C., Elder, J. F., Bechler, D. L., & Avise, J. C. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012863 · Cited by 89
Genome-Wide Analysis of Simple Sequence Repeats in Marine Animals—a Comparative Approach
Jiang, Q., Li, Q., Yu, H., & Kong, L. (2014) · Marine Biotechnology · doi:10.1007/s10126-014-9580-1 · Cited by 32
Metadata
- Publisher
- Oxford University PressOxford
- Published
- 1999-06-10
- OpenAlex
- W27851543
- Cited by
- 1,047
- References
- 0
- FWCI
- 36.43
- Type
- book
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microsatellites: Evolution and Applications. https://app.cochat.ai/papers/10.1093/oso/9780198504085.001.0001
- The paper
- Microsatellites: Evolution and Applications. (1999). https://doi.org/10.1093/oso/9780198504085.001.0001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
