Evidence map›Paper›PMID 31183256›Full record

ArticlePeerJ2019

Funmap2: an R package for QTL mapping using longitudinal phenotypes.

Nating Wang, Tinyi Chu, Jiangtao Luo, Rongling Wu, Zhong Wang

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

Article in PeerJ, 2019. 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
0.4field-weighted citation impact, top 31% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 2 countries.

Nating WangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Tinyi ChuGraduate field of Computational Biology, Cornell University, Ithaca, NY, United States of America.
Jiangtao LuoDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States of America.
Rongling WuCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Zhong WangCollege of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.
Beijing Forestry University · CNCornell University · USUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative trait locus (QTL) mapping has been used as a powerful tool for inferring the complexity of the genetic architecture that underlies phenotypic traits. This approach has shown its unique power to map the developmental genetic architecture of complex traits by implementing longitudinal data analysis. Here, we introduce the R package

Indexed as

Functional mappingLog-likelihood ratio testLongitudinal traitsQTL mappingQuantitative trait loci

Identifiers

PMID31183256
PMCPMC6546077
OpenAlexW2951827649

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.