Evidence map›Paper›PMID 20535442›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2010

Effects of missing marker and segregation distortion on QTL mapping in F2 populations.

Luyan Zhang, Shiquan Wang, Huihui Li, Qiming Deng, Aiping Zheng, Shuangcheng Li, Ping Li, Zhonglai Li, Jiankang Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
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

78 citing papers in PubMed, 172 citations in OpenAlex.

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  4. Genetic linkage map construction and QTL analysis for plant height in proso millet (Panicum miliaceum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  5. A novel QTL conferring Fusarium crown rot resistance on chromosome 2A in a wheat EMS mutant.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
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  13. Mapping of QTLs for Yield Traits Using FFrontiers in plant science · 2022
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18 more citing papers are in PubMed but not listed here.

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

9 authors at 5 institutions in 2 countries.

Luyan ZhangSchool of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China.
Shiquan Wang
Huihui Li
Qiming Deng
Aiping Zheng
Shuangcheng Li
Ping Li
Zhonglai Li
Jiankang Wang
Rice Research Institute · CNBeijing Normal University · CNSichuan Agricultural University · CNChinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Missing marker and segregation distortion are commonly encountered in actual quantitative trait locus (QTL) mapping populations. Our objective in this study was to investigate the impact of the two factors on QTL mapping through computer simulations. Results indicate that detection power decreases with increasing levels of missing markers, and the false discovery rate increases. Missing markers have greater effects on smaller effect QTL and smaller size populations. The effect of missing markers can be quantified by a population with a reduced size similar to the marker missing rate. As for segregation distortion, if the distorted marker is not closely linked with any QTL, it will not have significant impact on QTL mapping; otherwise, the impact of the distortion will depend on the degree of dominance of QTL, frequencies of the three marker types, the linkage distance between the distorted marker and QTL, and the mapping population size. Sometimes, the distortion can result in a higher genetic variance than that of non-distortion, and therefore benefits the detection of linked QTL. A formula of the ratio of genetic variance explained by QTL under distortion and non-distortion was given in this study, so as to easily determine whether the segregation distortion marker (SDM) increases or decreases the QTL detection power. The effect of SDM decreases rapidly as its linkage relationship with QTL becomes looser. In general, distorted markers will not have a great effect on the position and effect estimations of QTL, and their effects can be ignored in large-size mapping populations.

Indexed as

BiomarkersQuantitative Trait LociAllelesChromosome MappingChromosome SegregationChromosomes, PlantComputer SimulationCrosses, GeneticGene FrequencyGenetic LinkageGenetic VariationGenome, PlantOryzaPopulationRegression AnalysisBiomarkers

Identifiers

PMID20535442
OpenAlexW1981332588

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.