Evidence map›Paper›PMID 8128969›Full record

ArticleAmerican journal of human genetics1994

Maximum-likelihood estimation of gene location by linkage disequilibrium.

W G Hill, B S Weir

Erratum issuedAbstract read
In one paragraph

Article in American journal of human genetics, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

73 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Linkage Disequilibrium Decay in Selected Cattle Breeds.Animals : an open access journal from MDPI · 2024
    Article
  6. Article
  7. Article
  8. Genetic architecture of phenotypic means and plasticities of kernel size and weight in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genomic prediction based on runs of homozygosity.Genetics, selection, evolution : GSE · 2014
    Article
  17. Fine genetic characterization of elite maize germplasm using high-throughput SNP genotyping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    Article
  18. Article
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

W G HillInstitute of Cell, Animal and Population Biology, University of Edinburgh.
B S Weir

Funding

THEORETICAL QUANTITATIVE GENETICSP01GM045344 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MACKAY, TRUDY F · 1991 to 2005
$7.2M
NIGMS NIH HHS GM45344
6 · The paper itself

Abstract

Linkage disequilibrium, D, between a polymorphic disease and mapped markers can, in principle, be used to help find the map position of the disease gene. Likelihoods are therefore derived for the value of D conditional on the observed number of haplotypes in the sample and on the population parameter Nc, where N is the effective population size and c the recombination fraction between the disease and marker loci. The likelihood is computed explicitly for the case of two loci with heterozygote superiority and, more generally, by computer simulations assuming a steady state of constant population size and selective pressures or neutrality. It is found that the likelihood is, in general, not very dependent on the degree of selection at the loci and is very flat. This suggests that precise information on map position will not be obtained from estimates of linkage disequilibrium.

Indexed as

Genetics, PopulationLikelihood FunctionsLinkage DisequilibriumModels, GeneticChromosome MappingGenetic Diseases, InbornHaplotypesHumans

Identifiers

PMID8128969
PMCPMC1918089

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.