Evidence map›Paper›PMID 35615028›Full record

ArticleComputational and structural biotechnology journal2022

dQTG.seq: A comprehensive R tool for detecting all types of QTLs using extreme phenotype individuals in bi-parental segregation populations.

Pei Li, Liu-Qiong Wei, Yi-Fan Pan, Yuan-Ming Zhang

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

Article in Computational and structural biotechnology journal, 2022. 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
0.9field-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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. The analysis of the genetic loci affecting phenotypic plasticity of soybean isoflavone content by dQTG.seq model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    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

4 authors at 1 institution in 1 country.

Pei LiCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Liu-Qiong WeiCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yi-Fan PanCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Yuan-Ming ZhangCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although methodologies and software packages for bulked segregant analysis (BSA) are well established, it is difficult to detect extremely over-dominant and small-effect genes for quantitative traits in F

Indexed as

BC, backcrossBi-parental segregation populationsBSA, bulked segregant analysisBulked segregant analysisCIM, composite interval mappingDH, doubled haploiddQTG-seqED, Euclidean distanceExtremely over-dominant QTLsGCIM, genome-wide composite interval mappingICIM, inclusive composite interval mappingQTG, quantitative trait geneQTL, quantitative trait locusRRIL, recombinant inbred lineSmall-effect QTLsSNP, single nucleotide polymorphism

Identifiers

PMID35615028
PMCPMC9120062
OpenAlexW4280624230

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.