The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Quantifying genotyping errors in noninvasive population genetics
Abstract
The use of noninvasively collected samples greatly expands the range of ecological issues that may be investigated through population genetics. Furthermore, the difficulty of obtaining reliable genotypes with samples containing low quantities of amplifiable DNA may be overcome by designing optimal genotyping schemes. Such protocols are mainly determined by the rates of genotyping errors caused by false alleles and allelic dropouts. These errors may not be avoided through laboratory procedure and hence must be quantified. However, the definition of genotyping error rates remains elusive and various estimation methods have been reported in the literature. In this paper we proposed accurate codification for the frequencies of false alleles and allelic dropouts. We then reviewed other estimation methods employed in hair‐ or faeces‐based population genetics studies and modelled the bias associated with erroneous methods. It is emphasized that error rates may be substantially underestimated when using an erroneous approach. Genotyping error rates may be important determinants of the outcome of noninvasive studies and hence should be carefully computed and reported.
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Cites
Reliable genotyping of samples with very low DNA quantities using PCR
Taberlet, P. (1996) · Nucleic Acids Research · doi:10.1093/nar/24.16.3189 · Cited by 1,491
Noninvasive genetic sampling: look before you leap
Taberlet, P., Waits, L. P., & Luikart, G. (1999) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(99)01637-7 · Cited by 1,078
Estimating population size by genotyping faeces
Kohn, M. H., York, E. C., Kamradt, D. A., Haught, G., Sauvajot, R. M., & Wayne, R. K. (1999) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1999.0686 · Cited by 574
An empirical exploration of data quality in DNA‐based population inventories
Paetkau, D. (2003) · Molecular Ecology · doi:10.1046/j.1365-294x.2003.01820.x · Cited by 491
Morin, P. A., Chambers, K. E., Boesch, C., & Vigilant, L. (2001) · Molecular Ecology · doi:10.1046/j.0962-1083.2001.01308.x · Cited by 483
Adaptive Life Histories Effected by Age‐Specific Survival and Growth Rate
Hutchings, J. A. (1993) · Ecology · doi:10.2307/1940795 · Cited by 469
GAGNEUX, P., BOESCH, C., & WOODRUFF, D. S. (1997) · Molecular Ecology · doi:10.1111/j.1365-294x.1997.tb00140.x · Cited by 377
Assessing Allelic Dropout and Genotype Reliability Using Maximum Likelihood
Miller, C. R., Joyce, P., & Waits, L. P. (2002) · Genetics · doi:10.1093/genetics/160.1.357 · Cited by 351
Creel, S., Spong, G., Sands, J. L., Rotella, J., Zeigle, J., Joe, L., Murphy, K. M., & Smith, D. (2003) · Molecular Ecology · doi:10.1046/j.1365-294x.2003.01868.x · Cited by 309
Noninvasive molecular tracking of colonizing wolf (Canis lupus) packs in the western Italian Alps
Lucchini, V., Fabbri, E., Marucco, F., Ricci, S., Boitani, L., & Randi, E. (2002) · Molecular Ecology · doi:10.1046/j.1365-294x.2002.01489.x · Cited by 301
Cited by
Noninvasive Sampling Reveals Short-Term Genetic Rescue in an Insular Red Fox Population
Quinn, C. B., Alden, P. B., & Sacks, B. N. (2019) · Journal of Heredity · doi:10.1093/jhered/esz024 · Cited by 34
Ruiz-González, A., Madeira, M. J., Randi, E., Urra, F., & Gómez-Moliner, B. J. (2013) · European Journal of Wildlife Research · doi:10.1007/s10344-012-0683-6 · Cited by 37
Evaluating river otter demography using noninvasive genetic methods
Brzeski, K. E., Gunther, M. S., & Black, J. M. (2013) · The Journal of Wildlife Management · doi:10.1002/jwmg.610 · Cited by 33
Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling
Ebert, C., Sandrini, J., Welter, B., Thiele, B., & Hohmann, U. (2021) · European Journal of Wildlife Research · doi:10.1007/s10344-021-01456-8 · Cited by 22
Genetic footprints reveal geographic patterns of expansion in Fennoscandian red foxes
Norén, K., Statham, M. J., Ågren, E. O., Isomursu, M., Flagstad, Ø., Eide, N. E., Berg, T. B. G., Bech‐Sanderhoff, L., & Sacks, B. N. (2015) · Global Change Biology · doi:10.1111/gcb.12922 · Cited by 21
Metadata
- Authors
- BROQUET, T., & PETIT, E.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2004-10-15
- Volume
- 13
- Issue
- 11
- Pages
- 3601-3608
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2141163753
- Cited by
- 331
- References
- 28
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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