The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A Simple Genetic Architecture Underlies Morphological Variation in Dogs
Open accessAbstract
Domestic dogs exhibit tremendous phenotypic diversity, including a greater variation in body size than any other terrestrial mammal. Here, we generate a high density map of canine genetic variation by genotyping 915 dogs from 80 domestic dog breeds, 83 wild canids, and 10 outbred African shelter dogs across 60,968 single-nucleotide polymorphisms (SNPs). Coupling this genomic resource with external measurements from breed standards and individuals as well as skeletal measurements from museum specimens, we identify 51 regions of the dog genome associated with phenotypic variation among breeds in 57 traits. The complex traits include average breed body size and external body dimensions and cranial, dental, and long bone shape and size with and without allometric scaling. In contrast to the results from association mapping of quantitative traits in humans and domesticated plants, we find that across dog breeds, a small number of quantitative trait loci (< or = 3) explain the majority of phenotypic variation for most of the traits we studied. In addition, many genomic regions show signatures of recent selection, with most of the highly differentiated regions being associated with breed-defining traits such as body size, coat characteristics, and ear floppiness. Our results demonstrate the efficacy of mapping multiple traits in the domestic dog using a database of genotyped individuals and highlight the important role human-directed selection has played in altering the genetic architecture of key traits in this important species.
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Cites
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
ESTIMATING F -STATISTICS FOR THE ANALYSIS OF POPULATION STRUCTURE
Weir, B. S., & Cockerham, C. C. (1984) · Evolution · doi:10.1111/j.1558-5646.1984.tb05657.x · Cited by 19,066
Primer3 on the WWW for General Users and for Biologist Programmers
Rozen, S., & Skaletsky, H. (2003) · Bioinformatics Methods and Protocols · doi:10.1385/1-59259-192-2:365 · Cited by 15,013
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
EVOLUTION IN MENDELIAN POPULATIONS
Wright, S. (1931) · Genetics · doi:10.1093/genetics/16.2.97 · Cited by 8,916
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
Falush, D., Stephens, M., & Pritchard, J. K. (2003) · Genetics · doi:10.1093/genetics/164.4.1567 · Cited by 7,959
Population Structure and Eigenanalysis
Patterson, N., Price, A. L., & Reich, D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020190 · Cited by 5,280
Yu, J., Pressoir, G., Briggs, W. H., Vroh Bi, I., Yamasaki, M., Doebley, J. F., McMullen, M. D., Gaut, B. S., Nielsen, D. M., Holland, J. B., et al. (2006) · Nature Genetics · doi:10.1038/ng1702 · Cited by 4,133
Double muscling in cattle due to mutations in the myostatin gene
McPherron, A. C., & Lee, S.-J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.23.12457 · Cited by 2,039
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Genome sequencing highlights the dynamic early history of dogs
Freedman, A. H., Gronau, I., Schweizer, R. M., Ortega-Del Vecchyo, D., Han, E., Silva, P. M., Galaverni, M., Fan, Z., Marx, P., Lorente-Galdos, B., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004016 · Cited by 624
Marsden, C. D., Ortega-Del Vecchyo, D., O’Brien, D. P., Taylor, J. F., Ramirez, O., Vilà, C., Marques-Bonet, T., Schnabel, R. D., Wayne, R. K., & Lohmueller, K. E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1512501113 · Cited by 333
Self-citationWorldwide patterns of genomic variation and admixture in gray wolves
Fan, Z., Silva, P., Gronau, I., Wang, S., Armero, A. S., Schweizer, R. M., Ramirez, O., Pollinger, J., Galaverni, M., Ortega Del-Vecchyo, D., et al. (2016) · Genome Research · doi:10.1101/gr.197517.115 · Cited by 209
Self-citationPendleton, A. L., Shen, F., Taravella, A. M., Emery, S., Veeramah, K. R., Boyko, A. R., & Kidd, J. M. (2018) · BMC Biology · doi:10.1186/s12915-018-0535-2 · Cited by 156
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Metadata
- Authors
- Boyko, A. R., Quignon, P., Li, L., Schoenebeck, J. J., Degenhardt, J. D., Lohmueller, K. E., Zhao, K., Brisbin, A., Parker, H. G., vonHoldt, B. M., Cargill, M., Auton, A., Reynolds, A., Elkahloun, A. G., Castelhano, M., Mosher, D. S., Sutter, N. B., Johnson, G. S., Novembre, J., Hubisz, M. J., Siepel, A., Wayne, R. K., Bustamante, C. D., & Ostrander, E. A.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-08-10
- Volume
- 8
- Issue
- 8
- Pages
- e1000451
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2122603731
- Cited by
- 494
- References
- 51
- FWCI
- 17.44
- Type
- journal article
- Language
- en
- Open access
- gold
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- Boyko, A. R., Quignon, P., Li, L., Schoenebeck, J. J., Degenhardt, J. D., Lohmueller, K. E., Zhao, K., Brisbin, A., Parker, H. G., vonHoldt, B. M., Cargill, M., Auton, A., Reynolds, A., Elkahloun, A. G., Castelhano, M., Mosher, D. S., Sutter, N. B., Johnson, G. S., Novembre, J., . . . Ostrander, E. A. (2010). A Simple Genetic Architecture Underlies Morphological Variation in Dogs. PLoS Biology. https://doi.org/10.1371/journal.pbio.1000451
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