The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds
Open accessAbstract
The genetic structure of sheep reflects their domestication and subsequent formation into discrete breeds. Understanding genetic structure is essential for achieving genetic improvement through genome-wide association studies, genomic selection and the dissection of quantitative traits. After identifying the first genome-wide set of SNP for sheep, we report on levels of genetic variability both within and between a diverse sample of ovine populations. Then, using cluster analysis and the partitioning of genetic variation, we demonstrate sheep are characterised by weak phylogeographic structure, overlapping genetic similarity and generally low differentiation which is consistent with their short evolutionary history. The degree of population substructure was, however, sufficient to cluster individuals based on geographic origin and known breed history. Specifically, African and Asian populations clustered separately from breeds of European origin sampled from Australia, New Zealand, Europe and North America. Furthermore, we demonstrate the presence of stratification within some, but not all, ovine breeds. The results emphasize that careful documentation of genetic structure will be an essential prerequisite when mapping the genetic basis of complex traits. Furthermore, the identification of a subset of SNP able to assign individuals into broad groupings demonstrates even a small panel of markers may be suitable for applications such as traceability.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Inference of Population Structure Using Multilocus Genotype Data
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000) · Genetics · doi:10.1093/genetics/155.2.945 · Cited by 33,908
Arlequin (version 3.0): An integrated software package for population genetics data analysis
Excoffier, L., Laval, G., & Schneider, S. (2005) · Evolutionary Bioinformatics · doi:10.1177/117693430500100003 · Cited by 14,280
Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps
Meuwissen, T. H. E., Hayes, B. J., & Goddard, M. E. (2001) · Genetics · doi:10.1093/genetics/157.4.1819 · Cited by 7,917
distruct: a program for the graphical display of population structure
Rosenberg, N. A. (2004) · Molecular Ecology Notes · doi:10.1046/j.1471-8286.2003.00566.x · Cited by 4,950
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,893
Genome sequence, comparative analysis and haplotype structure of the domestic dog
members, B. S. P., Lindblad-Toh, K., Wade, C. M., Mikkelsen, T. S., Karlsson, E. K., Jaffe, D. B., Kamal, M., Clamp, M., Chang, J. L., Kulbokas, E. J., et al. (2005) · Nature · doi:10.1038/nature04338 · Cited by 2,568
hp‐rare 1.0: a computer program for performing rarefaction on measures of allelic richness
KALINOWSKI, S. T. (2005) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2004.00845.x · Cited by 2,197
High resolution of human evolutionary trees with polymorphic microsatellites
Bowcock, A. M., Ruiz-Linares, A., Tomfohrde, J., Minch, E., Kidd, J. R., & Cavalli-Sforza, L. L. (1994) · Nature · doi:10.1038/368455a0 · Cited by 1,850
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Kijas, J. W., Lenstra, J. A., Hayes, B., Boitard, S., Porto Neto, L. R., San Cristobal, M., Servin, B., McCulloch, R., Whan, V., Gietzen, K., et al. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001258 · Cited by 904
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Self-citationThe sheep genome illuminates biology of the rumen and lipid metabolism
Jiang, Y., Xie, M., Chen, W., Talbot, R., Maddox, J. F., Faraut, T., Wu, C., Muzny, D. M., Li, Y., Zhang, W., et al. (2014) · Science · doi:10.1126/science.1252806 · Cited by 514
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Kim, E.-S., Elbeltagy, A. R., Aboul-Naga, A. M., Rischkowsky, B., Sayre, B., Mwacharo, J. M., & Rothschild, M. F. (2016) · Heredity · doi:10.1038/hdy.2015.94 · Cited by 294
Metadata
- Authors
- Kijas, J. W., Townley, D., Dalrymple, B. P., Heaton, M. P., Maddox, J. F., McGrath, A., Wilson, P., Ingersoll, R. G., McCulloch, R., McWilliam, S., Tang, D., McEwan, J., Cockett, N., Oddy, V. H., Nicholas, F. W., Raadsma, H., & for the International Sheep Genomics Consortium
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2009-03-03
- Volume
- 4
- Issue
- 3
- Pages
- e4668
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2104016137
- Cited by
- 364
- References
- 50
- FWCI
- 12.65
- Type
- journal article
- Language
- en
- Open access
- gold
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- Kijas, J. W., Townley, D., Dalrymple, B. P., Heaton, M. P., Maddox, J. F., McGrath, A., Wilson, P., Ingersoll, R. G., McCulloch, R., McWilliam, S., Tang, D., McEwan, J., Cockett, N., Oddy, V. H., Nicholas, F. W., Raadsma, H., & for the International Sheep Genomics Consortium. (2009). A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds. PLoS ONE. https://doi.org/10.1371/journal.pone.0004668
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