Evidence map›Paper›PMID 17057236›Full record

ArticleGenetics2007

A new strategy for estimating recombination fractions between dominant markers from an F2 population.

Yuan-De Tan, Yun-Xin Fu

Abstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. High-throughput identification of genetic markers using representational oligonucleotide microarray analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
  4. Article
  5. Mapping functions.Genetica · 2008
    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

2 authors.

Yuan-De TanHuman Genetics Center, School of Public Health, University of Texas, Houston, Texas 77030, USA.
Yun-Xin Fu

Funding

COALESCENT THEORY AND ANALYIS OF DNA POLYMORPHISMSR01GM050428 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FU, YUN-XIN · 2000 to 2003
$737k
NIGMS NIH HHS R01 GM050428NIGMS NIH HHS R01 GM50428
6 · The paper itself

Abstract

Although most high-density linkage maps have been constructed from codominant markers such as single-nucleotide polymorphisms (SNPs) and microsatellites due to their high linkage information, dominant markers can be expected to be even more significant as proteomic technique becomes widely applicable to generate protein polymorphism data from large samples. However, for dominant markers, two possible linkage phases between a pair of markers complicate the estimation of recombination fractions between markers and consequently the construction of linkage maps. The low linkage information of the repulsion phase and high linkage information of coupling phase have led geneticists to construct two separate but related linkage maps. To circumvent this problem, we proposed a new method for estimating the recombination fraction between markers, which greatly improves the accuracy of estimation through distinction between the coupling phase and the repulsion phase of the linked loci. The results obtained from both real and simulated F2 dominant marker data indicate that the recombination fractions estimated by the new method contain a large amount of linkage information for constructing a complete linkage map. In addition, the new method is also applicable to data with mixed types of markers (dominant and codominant) with unknown linkage phase.

Indexed as

Genes, DominantGenetic MarkersAlgorithmsAnimalsChromosome MappingComputer SimulationGerm CellsMiceModels, GeneticRecombination, GeneticGenetic Markers

Identifiers

PMID17057236
PMCPMC1800593

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.