The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The development and characterization of a 60K SNP chip for chicken
Open accessAbstract
BACKGROUND: In livestock species like the chicken, high throughput single nucleotide polymorphism (SNP) genotyping assays are increasingly being used for whole genome association studies and as a tool in breeding (referred to as genomic selection). To be of value in a wide variety of breeds and populations, the success rate of the SNP genotyping assay, the distribution of the SNP across the genome and the minor allele frequencies (MAF) of the SNPs used are extremely important. RESULTS: We describe the design of a moderate density (60k) Illumina SNP BeadChip in chicken consisting of SNPs known to be segregating at high to medium minor allele frequencies (MAF) in the two major types of commercial chicken (broilers and layers). This was achieved by the identification of 352,303 SNPs with moderate to high MAF in 2 broilers and 2 layer lines using Illumina sequencing on reduced representation libraries. To further increase the utility of the chip, we also identified SNPs on sequences currently not covered by the chicken genome assembly (Gallus_gallus-2.1). This was achieved by 454 sequencing of the chicken genome at a depth of 12x and the identification of SNPs on 454-derived contigs not covered by the current chicken genome assembly. In total we added 790 SNPs that mapped to 454-derived contigs as well as 421 SNPs with a position on Chr_random of the current assembly. The SNP chip contains 57,636 SNPs of which 54,293 could be genotyped and were shown to be segregating in chicken populations. Our SNP identification procedure appeared to be highly reliable and the overall validation rate of the SNPs on the chip was 94%. We were able to map 328 SNPs derived from the 454 sequence contigs on the chicken genome. The majority of these SNPs map to chromosomes that are already represented in genome build Gallus_gallus-2.1.0. Twenty-eight SNPs were used to construct two new linkage groups most likely representing two micro-chromosomes not covered by the current genome assembly. CONCLUSIONS: The high success rate of the SNPs on the Illumina chicken 60K Beadchip emphasizes the power of Next generation sequence (NGS) technology for the SNP identification and selection step. The identification of SNPs from sequence contigs derived from NGS sequencing resulted in improved coverage of the chicken genome and the construction of two new linkage groups most likely representing two chicken micro-chromosomes.
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
International Chicken Genome Sequencing Consortium (2004) · Nature · doi:10.1038/nature03154 · Cited by 2,750
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638
Whole-genome resequencing reveals loci under selection during chicken domestication
Rubin, C.-J., Zody, M. C., Eriksson, J., Meadows, J. R. S., Sherwood, E., Webster, M. T., Jiang, L., Ingman, M., Sharpe, T., Ka, S., et al. (2010) · Nature · doi:10.1038/nature08832 · Cited by 1,138
Warren, W. C., Clayton, D. F., Ellegren, H., Arnold, A. P., Hillier, L. W., Künstner, A., Searle, S., White, S., Vilella, A. J., Fairley, S., et al. (2010) · Nature · doi:10.1038/nature08819 · Cited by 800
Self-citationRamos, A. M., Crooijmans, R. P. M. A., Affara, N. A., Amaral, A. J., Archibald, A. L., Beever, J. E., Bendixen, C., Churcher, C., Clark, R., Dehais, P., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006524 · Cited by 777
Self-citationSNP discovery and allele frequency estimation by deep sequencing of reduced representation libraries
Van Tassell, C. P., Smith, T. P. L., Matukumalli, L. K., Taylor, J. F., Schnabel, R. D., Lawley, C. T., Haudenschild, C. D., Moore, S. S., Warren, W. C., & Sonstegard, T. S. (2008) · Nature Methods · doi:10.1038/nmeth.1185 · Cited by 631
Self-citationA genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms
International Chicken Polymorphism Map Consortium (2004) · Nature · doi:10.1038/nature03156 · Cited by 456
Dalloul, R. A., Long, J. A., Zimin, A. V., Aslam, L., Beal, K., Ann Blomberg, L., Bouffard, P., Burt, D. W., Crasta, O., Crooijmans, R. P. M. A., et al. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000475 · Cited by 416
Self-citationGroenen, M. A. M., Wahlberg, P., Foglio, M., Cheng, H. H., Megens, H.-J., Crooijmans, R. P. M. A., Besnier, F., Lathrop, M., Muir, W. M., Wong, G. K.-S., et al. (2009) · Genome Research · doi:10.1101/gr.086538.108 · Cited by 305
Self-citationWhole-Genome Genotyping on Bead Arrays
Gunderson, K. L. (2009) · Methods in molecular biology · doi:10.1007/978-1-59745-538-1_13 · Cited by 96
Cited by
Genome-wide association mapping including phenotypes from relatives without genotypes
WANG, H., MISZTAL, I., AGUILAR, I., LEGARRA, A., & MUIR, W. M. (2012) · Genetics Research · doi:10.1017/s0016672312000274 · Cited by 632
Self-citationDaetwyler, H. D., Calus, M. P. L., Pong-Wong, R., de los Campos, G., & Hickey, J. M. (2013) · Genetics · doi:10.1534/genetics.112.147983 · Cited by 455
Kukekova, A. V., Johnson, J. L., Teiling, C., Li, L., Oskina, I. N., Kharlamova, A. V., Gulevich, R. G., Padte, R., Dubreuil, M. M., Vladimirova, A. V., et al. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-482 · Cited by 57
Metadata
- Authors
- Groenen, M. A., Megens, H.-J., Zare, Y., Warren, W. C., Hillier, L. W., Crooijmans, R. P., Vereijken, A., Okimoto, R., Muir, W. M., & Cheng, H. H.
- Venue
- BMC Genomics
- Published
- 2011-05-31
- Volume
- 12
- Issue
- 1
- Pages
- 274-274
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W2104223233
- Cited by
- 256
- References
- 16
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- gold
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: The development and characterization of a 60K SNP chip for chicken. https://app.cochat.ai/papers/10.1186/1471-2164-12-274
- The paper
- Groenen, M. A., Megens, H.-J., Zare, Y., Warren, W. C., Hillier, L. W., Crooijmans, R. P., Vereijken, A., Okimoto, R., Muir, W. M., & Cheng, H. H. (2011). The development and characterization of a 60K SNP chip for chicken. BMC Genomics. https://doi.org/10.1186/1471-2164-12-274
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.