The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A maximum likelihood method for estimating genome length using genetic linkage data.
Abstract
The genetic length of a genome, in units of Morgans or centimorgans, is a fundamental characteristic of an organism. We propose a maximum likelihood method for estimating this quantity from counts of recombinants and nonrecombinants between marker locus pairs studied from a backcross linkage experiment, assuming no interference and equal chromosome lengths. This method allows the calculation of the standard deviation of the estimate and a confidence interval containing the estimate. Computer simulations have been performed to evaluate and compare the accuracy of the maximum likelihood method and a previously suggested method-of-moments estimator. Specifically, we have investigated the effects of the number of meioses, the number of marker loci, and variation in the genetic lengths of individual chromosomes on the estimate. The effect of missing data, obtained when the results of two separate linkage studies with a fraction of marker loci in common are pooled, is also investigated. The maximum likelihood estimator, in contrast to the method-of-moments estimator, is relatively insensitive to violation of the assumptions made during analysis and is the method of choice. The various methods are compared by application to partial linkage data from Xiphophorus.
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
Construction of a genetic linkage map in man using restriction fragment length polymorphisms.
Botstein, D., White, R. L., Skolnick, M. H., & Davis, R. W. (1980) · Europe PMC (PubMed Central) · Cited by 8,327
Lander, E. S., Green, P., Abrahamson, J., Barlow, A., Daly, M. J., Lincoln, S. E., & Newburg, L. (1987) · Genomics · doi:10.1016/0888-7543(87)90010-3 · Cited by 6,656
Sequential tests for the detection of linkage.
Morton, N. E. (1955) · Europe PMC (PubMed Central) · Cited by 1,585
Genetic analysis of the fungus, Bremia lactucae, using restriction fragment length polymorphisms.
Hulbert, S. H., Ilott, T. W., Legg, E., Lincoln, S. E., Lander, E. S., & Michelmore, R. W. (1988) · Genetics · doi:10.1093/genetics/120.4.947 · Cited by 263
Genetic linkage map of fishes of the genus Xiphophorus (Teleostei: Poeciliidae).
Morizot, D. C., Slaugenhaupt, S. A., Kallman, K. D., & Chakravarti, A. (1991) · Genetics · doi:10.1093/genetics/127.2.399 · Cited by 62
Self-citation
Cited by
The Physcomitrella patens chromosome‐scale assembly reveals moss genome structure and evolution
Lang, D., Ullrich, K. K., Murat, F., Fuchs, J., Jenkins, J., Haas, F. B., Piednoel, M., Gundlach, H., Van Bel, M., Meyberg, R., et al. (2018) · The Plant Journal · doi:10.1111/tpj.13801 · Cited by 423
A first linkage map of olive (Olea europaea L.) cultivars using RAPD, AFLP, RFLP and SSR markers
de la Rosa, R., Angiolillo, A., Guerrero, C., Pellegrini, M., Rallo, L., Besnard, G., Bervillé, A., Martin, A., & Baldoni, L. (2003) · Theoretical and Applied Genetics · doi:10.1007/s00122-002-1189-5 · Cited by 144
Kaiser, T. S., & Heckel, D. G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032092 · Cited by 37
The genetic basis of speciation in the Giliopsis lineage of Ipomopsis (Polemoniaceae)
Nakazato, T., Rieseberg, L. H., & Wood, T. E. (2013) · Heredity · doi:10.1038/hdy.2013.41 · Cited by 33
Metadata
- Authors
- Chakravarti, A., Lasher, L. K., & Reefer, J. E.
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-05-01
- Volume
- 128
- Issue
- 1
- Pages
- 175-182
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- OpenAlex
- W2120259257
- Cited by
- 401
- References
- 5
- FWCI
- 1.45
- Type
- journal article
- Language
- en
- Open access
- closed
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: A maximum likelihood method for estimating genome length using genetic linkage data. https://app.cochat.ai/papers/10.1093/genetics/128.1.175
- The paper
- Chakravarti, A., Lasher, L. K., & Reefer, J. E. (1991). A maximum likelihood method for estimating genome length using genetic linkage data. Genetics. https://doi.org/10.1093/genetics/128.1.175
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.
