Evidence map›Paper›PMID 8005426›Full record

ArticleGenetics1994

Detection of genetic interference: simulation studies and mouse data.

D E Weeks, J Ott, G M Lathrop

Abstract read
In one paragraph

Article in Genetics, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The potential of probabilistic graphical models in linkage map construction.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  5. Article
  6. Article
  7. Article
  8. Characterization of human crossover interference.American journal of human genetics · 2000
    Article
  9. Simulation of the distribution of parental strains' genomes in RC strains of mice.Mammalian genome : official journal of the International Mammalian Genome Society · 1997
    Article
  10. An anchored molecular map of mouse chromosome 6 with an analysis of interference.Mammalian genome : official journal of the International Mammalian Genome Society · 1995
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

D E WeeksDepartment of Human Genetics, University of Pittsburgh, Pennsylvania 15261.
J Ott
G M Lathrop

Funding

NOVEL ALGORITHMS FOR GENETIC MAPPINGR01HG000932 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEEKS, DANIEL E · 1993 to 1998
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NHGRI NIH HHS HG00008NHGRI NIH HHS HG00932
6 · The paper itself

Abstract

Genetic chiasma interference occurs when the occurrence of one crossover (or chiasma) influences the probability of another crossover occurring nearby. We investigated, by simulation studies, the power of three statistical methods to detect interference. Neither the traditional three-locus method nor a multiplicative model approach are very powerful, while a multilocus-feasible map function approach is more powerful, particularly as the number of loci increases. We show that the power to detect interference is quite sensitive to the underlying type of interference. When we tested for interference in two mouse data sets (from chromosomes 1 and 12), we found significant evidence of positive interference.

Indexed as

Crossing Over, GeneticModels, GeneticAnimalsChromosome MappingComputer SimulationFemaleGenetic MarkersHumansMaleMeiosisMiceMice, Inbred C57BLRecombination, GeneticSex CharacteristicsGenetic Markers

Identifiers

PMID8005426
PMCPMC1205876

What OpenQuestion holds

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Registered trials

None linked

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.