The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Linkage Disequilibrium and Persistence of Phase in Holstein–Friesian, Jersey and Angus Cattle
Open accessAbstract
When a genetic marker and a quantitative trait locus (QTL) are in linkage disequilibrium (LD) in one population, they may not be in LD in another population or their LD phase may be reversed. The objectives of this study were to compare the extent of LD and the persistence of LD phase across multiple cattle populations. LD measures r and r2 were calculated for syntenic marker pairs using genomewide single-nucleotide polymorphisms (SNP) that were genotyped in Dutch and Australian Holstein–Friesian (HF) bulls, Australian Angus cattle, and New Zealand Friesian and Jersey cows. Average r2 was ∼0.35, 0.25, 0.22, 0.14, and 0.06 at marker distances 10, 20, 40, 100, and 1000 kb, respectively, which indicates that genomic selection within cattle breeds with r2 ≥ 0.20 between adjacent markers would require ∼50,000 SNPs. The correlation of r values between populations for the same marker pairs was close to 1 for pairs of very close markers (<10 kb) and decreased with increasing marker distance and the extent of divergence between the populations. To find markers that are in LD with QTL across diverged breeds, such as HF, Jersey, and Angus, would require ∼300,000 markers.
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
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
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
Self-citationLinkage disequilibrium in finite populations
Hill, W. G., & Robertson, A. (1968) · Theoretical and Applied Genetics · doi:10.1007/bf01245622 · Cited by 2,035
THE INTERACTION OF SELECTION AND LINKAGE. I. GENERAL CONSIDERATIONS; HETEROTIC MODELS
Lewontin, R. C. (1964) · Genetics · doi:10.1093/genetics/49.1.49 · Cited by 1,835
Prospects for whole-genome linkage disequilibrium mapping of common disease genes
Kruglyak, L. (1999) · Nature Genetics · doi:10.1038/9642 · Cited by 1,416
Linkage Disequilibrium in Humans: Models and Data
Pritchard, J. K., & Przeworski, M. (2001) · The American Journal of Human Genetics · doi:10.1086/321275 · Cited by 1,274
Patterns of linkage disequilibrium in the human genome
Ardlie, K. G., Kruglyak, L., & Seielstad, M. (2002) · Nature Reviews Genetics · doi:10.1038/nrg777 · Cited by 1,129
GOLD—Graphical Overview of Linkage Disequilibrium
Abecasis, G. R., & Cookson, W. O. C. (2000) · Bioinformatics · doi:10.1093/bioinformatics/16.2.182 · Cited by 773
The use of molecular genetics in the improvement of agricultural populations
Dekkers, J. C. M., & Hospital, F. (2002) · Nature Reviews Genetics · doi:10.1038/nrg701 · Cited by 710
Commercial application of marker- and gene-assisted selection in livestock: strategies and lessons.
Dekkers, J. C. M. (2004) · PubMed · doi:10.2527/2004.8213_supple313x · Cited by 684
Cited by
Accuracy of genomic breeding values in multi-breed dairy cattle populations
Hayes, B. J., Bowman, P. J., Chamberlain, A. C., Verbyla, K., & Goddard, M. E. (2009) · Genetics Selection Evolution · doi:10.1186/1297-9686-41-51 · Cited by 490
Self-citationGenomic Selection in Plant Breeding
Lorenz, A. J., Chao, S., Asoro, F. G., Heffner, E. L., Hayashi, T., Iwata, H., Smith, K. P., Sorrells, M. E., & Jannink, J.-L. (2011) · Advances in Agronomy · doi:10.1016/b978-0-12-385531-2.00002-5 · Cited by 477
The impact of genetic relationship information on genomic breeding values in German Holstein cattle
Habier, D., Tetens, J., Seefried, F.-R., Lichtner, P., & Thaller, G. (2010) · Genetics Selection Evolution · doi:10.1186/1297-9686-42-5 · Cited by 455
Hayes, B. J., Lewin, H. A., & Goddard, M. E. (2013) · Trends in Genetics · doi:10.1016/j.tig.2012.11.009 · Cited by 377
Self-citation- Invited Review - African Indigenous Cattle: Unique Genetic Resources in a Rapidly Changing World
Mwai, O., Hanotte, O., Kwon, Y.-J., & Cho, S. (2015) · Asian-Australasian Journal of Animal Sciences · doi:10.5713/ajas.15.0002r · Cited by 300
Metadata
- Authors
- de Roos, A. P. W., Hayes, B. J., Spelman, R. J., & Goddard, M. E.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07-01
- Volume
- 179
- Issue
- 3
- Pages
- 1503-1512
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2097840595
- Cited by
- 498
- References
- 34
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Linkage Disequilibrium and Persistence of Phase in Holstein–Friesian, Jersey and Angus Cattle. https://app.cochat.ai/papers/10.1534/genetics.107.084301
- The paper
- de Roos, A. P. W., Hayes, B. J., Spelman, R. J., & Goddard, M. E. (2008). Linkage Disequilibrium and Persistence of Phase in Holstein–Friesian, Jersey and Angus Cattle. Genetics. https://doi.org/10.1534/genetics.107.084301
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.