References
- Ajmone-Marsan, P., Valentini, A., Cassandro, M., Vecchiotti-Antaldi, G. and Bertoni, G. 1997. AFLP markers for DNA fingerprinting in cattle. Anim. Genet. 28:418-426. https://doi.org/10.1111/j.1365-2052.1997.00204.x
- Ayres, K. L. and Overall, A. D. J. 2004. API-CALC 1.0: a computer program for calculating the average probability of identity allowing for substructure, inbreeding and the presence of close relatives. Molecular Ecology Notes 4:315-318. https://doi.org/10.1111/j.1471-8286.2004.00616.x
- Chamberlain, J. S., Gibbs, R. A., Ranier, J. E., Nguyen, P. N. and Caskey, C. T. 1988. Deletion screening of the Duchenne muscular dystrophy locus via multiplex DNA amplification. Nucleic Acids Res. 16:11141-11156. https://doi.org/10.1093/nar/16.23.11141
- Crisan, D. 1994. Molecular diagnostic testing for determination of myeloid lineage in acute leukemias. Ann. Clin. Lab. Sci. 24:355-363.
- Glowatzki-Mullis, M. L., Gaillard, C., Wigger, G. and Fries, R. 1995. Microsatellite-based parentage control in cattle. Anim. Genet. 26:7-12. https://doi.org/10.1111/j.1365-2052.1995.tb02612.x
- Goudet, J. 2001. FSTAT, a program to Estimate and Test Gene Diversities and Fixation Indices (version 2.9.3). Available from http://www.unil.ch/izea/software/fstat.html
- Heyen, D. W., Beever, J. E., Da, Y., Evert, R. E. and Green, C. 1997. Exclusion probabilities of 22 bovine microsatellite markers in fluorescent multiplexes for semiautomated parentage testing. Anim. Genet. 28:21-27. https://doi.org/10.1111/j.1365-2052.1997.t01-1-00057.x
- Keyue, D., Kaixin, Z., Fuchu, H. and Yan S. 2003. LDA - A java-based linkage disequilibrium analyzer. Bioinformatics 19: 2147-2148. https://doi.org/10.1093/bioinformatics/btg276
- Mansfield, E. S., Robertson, J. M., Lebo, R. V., Lucero, M. Y., Mayrand, P. E., Rappaport, E., Parrella, T, Sartore, M., Surrey, S. and Fortina, P. 1993. Duchenne Becker muscular dystrophy carrier detection using quantitative PCR and fluorescence-based strategies. Am. J. Med. Genet. 48:200-208. https://doi.org/10.1002/ajmg.1320480406
- Marshall, T. C., Slate, J., Kruuk, L. E. B. and Pemberton, J. M. 1998. Statistical confidence for likelihood-based paternity inference in natural populations. Mol. Ecol. 7:639-655. https://doi.org/10.1046/j.1365-294x.1998.00374.x
- Michael P. Heaton, Gregory P. Harhay, Gary L. Bennett, Roger T. Stone, W. Michael Grosse, Eduardo Casas, John W. Keele, Timothy P.L. Smith, Carol G. Chitko-McKown and Will W. Laegreid 2002. Selection and use of SNP markers for animal identification and paternity analysis in U.S. beef cattle. Mammalian Genome 13:272-281. https://doi.org/10.1007/s00335-001-2146-3
- Mutirangura, A. F., Greenberg, M. G., Butler, S., Malcolm, R. D., Nicholls, A., Chakravarti and Ledberrer, D. H. 1993. Multiplex PCR of three dinucleotide repeats in the Prader-Willi/Angelman critical resgion: molecular diagnosis and mechanism of uniparental disomy. Hum. Mol. Genet. 48: 200-208.
- Raymond M. and Rousset F. 1995. GENEPOP (version 1. 2): population genetics software for exact tests and ecumenicism. J. Heredity 86:248-249. https://doi.org/10.1093/oxfordjournals.jhered.a111573
-
SEQUENOM
$^{{\copyright}}$ Application Note. 2005. iPLEX$^{TM}$ Assay: Increased plexing efficiency and flexibility for MassARRAY$^{{\copyright}}$ system through single base primer extension with Msaa-Modified terminators. - Shuber, A. P., Skoletsky, J., Stern, R. and Handelin, B. L. 1993. Efficient 12-mutation testing in the CFTR gene: a general model for complex mutation analysis. Hum. Mol. Genet. 2:153-158. https://doi.org/10.1093/hmg/2.2.153
- Tom, R. G., Santiago, R., Carlos, Z. and Ian, N. M. D. 2006. MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers. BMC Bioinformatics 7: 227. https://doi.org/10.1186/1471-2105-7-227
- Usha A. P., Simpson S. P. and Williams J. L. 1995. Probability of random sire exclusion using microsatellite markers for parentage verification. Anim. Genet. 26:155-161. https://doi.org/10.1111/j.1365-2052.1995.tb03155.x
- Weir, B. S. and Hill, W. G. 2002. Estimating F-statistics. Annu. Rev. Genet. 36:721-50. https://doi.org/10.1146/annurev.genet.36.050802.093940
- Werner, F. A. O., Durstewitz, G., Habermann, F. A., Thaller, G., Kraemer, W., Kollers, S., Buitkamp, J., Georges, M., Brem, G., Mosner, J. and Fries, R. 2003. Detection and characterization of SNPs useful for identity control and parentage testing in major European dairy breeds. Anim. Genet. 35:44-49. https://doi.org/10.1046/j.1365-2052.2003.01071.x
- Wiliams J. L., Usha A. P., Urquhart B. G. and Kilroy M. 1997. Verification of the identity of bovine semen using DNA microsatellite markers. Vet. Rec. 140:446-449. https://doi.org/10.1136/vr.140.17.446
- 임현태, 민희식, 문원곤, 이재봉, 김재환, 조인철, 이학교, 이용욱, 이정규, 전진태. 2005. 한우 생산이력제에 활용 가능한 Microsatellite의 분석과 선발. 동물자원과학회지. 47(4):491-500.
Cited by
- Analysis of Genetic Characteristics and Probability of Individual Discrimination in Korean Indigenous Chicken Brands by Microsatellite Marker vol.55, pp.3, 2013, https://doi.org/10.5187/JAST.2013.55.3.185
- Comparison of the Microsatellite and Single Nucleotide Polymorphism Methods for Discriminating among Hanwoo (Korean Native Cattle), Imported, and Crossbred Beef in Korea vol.34, pp.6, 2014, https://doi.org/10.5851/kosfa.2014.34.6.763
- Discrimination of the commercial Korean native chicken population using microsatellite markers vol.57, pp.1, 2015, https://doi.org/10.1186/s40781-015-0044-6
- Paternity Identification Using the Multiplex PCR with Microsatellite Markers in Chicken vol.48, pp.2, 2014, https://doi.org/10.14397/jals.2014.48.2.69
- Establishment of a Microsatellite Marker set for Individual Identification in Goat vol.48, pp.3, 2014, https://doi.org/10.14397/jals.2014.48.3.157
- Molecular Genetic Considerations of Jeju Black Cattle using Microsatellite Markers vol.49, pp.2, 2015, https://doi.org/10.14397/jals.2015.49.2.57