The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The first linkage disequilibrium (LD) maps: Delineation of hot and cold blocks by diplotype analysis
Open accessAbstract
Linkage disequilibrium (LD) provides information about positional cloning, linkage, and evolution that cannot be inferred from other evidence, even when a correct sequence and a linkage map based on more than a handful of families become available. We present theory to construct an LD map for which distances are additive and population-specific maps are expected to be approximately proportional. For this purpose, there is only a modest difference in relative efficiency of haplotypes and diplotypes: resolving the latter into 2-locus haplotypes has significant cost or error and increases information by about 50%. LD maps for a cold spot in 19p13.3 and a more typical region in 3q21 are optimized by interval estimates. For a random sample and trustworthy map the value of LD at large distance can be predicted reliably from information over a small distance and does not depend on the evolutionary variance unless the sample size approaches the population size. Values of the association probability that can be distinguished from the value at large distance are determined not by population size but by time since a critical bottleneck. In these examples, omission of markers with significant Hardy–Weinberg disequilibrium does not improve the map, and widely discrepant draft sequences have similar estimates of the genetic parameters. The LD cold spot in 19p13.3 gives an unusually high estimate of time, supporting an argument that this relationship is general. As predicted for a region with ancient haplotypes or uniformly high recombination, there is no clear evidence of LD clustering. On the contrary, the 3q21 region is resolved into alternating blocks of stable and decreasing LD, as expected from crossover clustering. Construction of a genomewide LD map requires data not yet available, which may be complemented but not replaced by a catalog of haplotypes.
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
High-resolution haplotype structure in the human genome
Daly, M. J., Rioux, J. D., Schaffner, S. F., Hudson, T. J., & Lander, E. S. (2001) · Nature Genetics · doi:10.1038/ng1001-229 · Cited by 1,717
Prospects for whole-genome linkage disequilibrium mapping of common disease genes
Kruglyak, L. (1999) · Nature Genetics · doi:10.1038/9642 · Cited by 1,416
Are Rare Variants Responsible for Susceptibility to Complex Diseases?
Pritchard, J. K. (2001) · The American Journal of Human Genetics · doi:10.1086/321272 · Cited by 1,197
Linkage disequilibrium mapping in isolated founder populations: diastrophic dysplasia in Finland
Hästbacka, J., de la Chapelle, A., Kaitila, I., Sistonen, P., Weaver, A., & Lander, E. (1992) · Nature Genetics · doi:10.1038/ng1192-204 · Cited by 558
Cited by
The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Extended tracts of homozygosity in outbred human populations
Gibson, J., Morton, N. E., & Collins, A. (2006) · Human Molecular Genetics · doi:10.1093/hmg/ddi493 · Cited by 489
Self-citationA second-generation combined linkage–physical map of the human genome: Table 1.
Matise, T. C., Chen, F., Chen, W., De La Vega, F. M., Hansen, M., He, C., Hyland, F. C. L., Kennedy, G. C., Kong, X., Murray, S. S., et al. (2007) · Genome Research · doi:10.1101/gr.7156307 · Cited by 332
Service, S., DeYoung, J., Karayiorgou, M., Roos, J. L., Pretorious, H., Bedoya, G., Ospina, J., Ruiz-Linares, A., Macedo, A., Palha, J. A., et al. (2006) · Nature Genetics · doi:10.1038/ng1770 · Cited by 273
Self-citationOptimal selection of SNP markers for disease association studies.
Halldórsson, B. V., Istrail, S., & De La Vega, F. M. (2004) · Human Heredity · doi:10.1159/000083546 · Cited by 65
Metadata
- Authors
- Maniatis, N., Collins, A., Xu, C.-F., McCarthy, L. C., Hewett, D. R., Tapper, W., Ennis, S., Ke, X., & Morton, N. E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-02-12
- Volume
- 99
- Issue
- 4
- Pages
- 2228-2233
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2024938068
- Cited by
- 182
- References
- 4
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- green
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 first linkage disequilibrium (LD) maps: Delineation of hot and cold blocks by diplotype analysis. https://app.cochat.ai/papers/10.1073/pnas.042680999
- The paper
- Maniatis, N., Collins, A., Xu, C.-F., McCarthy, L. C., Hewett, D. R., Tapper, W., Ennis, S., Ke, X., & Morton, N. E. (2002). The first linkage disequilibrium (LD) maps: Delineation of hot and cold blocks by diplotype analysis. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.042680999
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.