Evidence map›Paper›PMID 29169342›Full record

ArticleBMC bioinformatics2017

MVQTLCIM: composite interval mapping of multivariate traits in a hybrid F

Fenxiang Liu, Chunfa Tong, Shentong Tao, Jiyan Wu, Yuhua Chen, Dan Yao, Huogen Li, Jisen Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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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

8 authors at 1 institution in 1 country.

Fenxiang LiuThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Chunfa TongThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China. tongchf@njfu.edu.cn.ORCID http://orcid.org/0000-0001-9795-211X
Shentong TaoThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Jiyan WuThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Yuhua ChenThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Dan YaoThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Huogen LiThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Jisen ShiThe Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
Nanjing Forestry University · CN

Funding

National Natural Science Foundation of China (CN) 3127076
6 · The paper itself

Abstract

backgroundWith the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F

resultsWe implemented the traditional composite interval mapping (CIM) method to multivariate trait data in forest trees and developed the corresponding software, mvqtlcim. Our method not only incorporated the various segregations and linkage phases of molecular markers, but also applied Takeuchi's information criterion (TIC) to discriminate the QTL segregation type among several possible alternatives. QTL mapping was performed in a hybrid F

conclusionsWe provided a powerful tool for QTL mapping of multiple or longitudinal traits in an outbred F

Indexed as

Crosses, GeneticHybridization, GeneticQuantitative Trait, HeritableChromosome MappingChromosome SegregationComputer SimulationGenetic Association StudiesGenetic LinkageGenetic MarkersGenetics, PopulationGenome, PlantLikelihood FunctionsMonte Carlo MethodPhenotypePopulusQuantitative Trait LociGenetic MarkersComposite interval mappingMultivariate linear modelMultivariate traitsPopulusQuantitative trait locus

Identifiers

PMID29169342
PMCPMC5701343
OpenAlexW2768429624

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.