Evidence map›Paper›PMID 29880557›Full record

ArticleG3 (Bethesda, Md.)2018

gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population.

Kranti Konganti, Andre Ehrlich, Ivan Rusyn, David W Threadgill

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. 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

4 authors.

Kranti KongantiTexas A&M Institute for Genome Sciences and Society.
Andre EhrlichTexas A&M Institute for Genome Sciences and Society.
Ivan RusynDepartment of Veterinary Integrative Biosciences.
David W ThreadgillTexas A&M Institute for Genome Sciences and Society dwt@tamu.edu.ORCID 0000-0003-3538-1635

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Jamie J Bernard · 1989 to 2026
$64.9M
Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Integration of Genomics and the EnvironmentRM1HG008529 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI FEINBERG, ANDREW P., THREADGILL, DAVID W. · 2016 to 2020
$5.3M
TARGETED GENOMICS FACILITY COREP30ES023512 · NIEHS · TEXAS A&M AGRILIFE RESEARCH · PI THREADGILL, DAVID W. · 2014 to 2017
$3.3M
NHGRI NIH HHS RM1 HG008529NIEHS NIH HHS P30 ES023512NIEHS NIH HHS P42 ES004911NIEHS NIH HHS P42 ES027704
6 · The paper itself

Abstract

Multi-parental recombinant inbred populations, such as the Collaborative Cross (CC) mouse genetic reference population, are increasingly being used for analysis of quantitative trait loci (QTL). However specialized analytic software for these complex populations is typically built in R that works only on command-line, which limits the utility of these powerful resources for many users. To overcome analytic limitations, we developed gQTL, a web accessible, simple graphical user interface application based on the DOQTL platform in R to perform QTL mapping using data from CC mice.

Indexed as

Quantitative Trait LociSoftwareAnimalsChromosome MappingDatabases, GeneticMicecollaborative crossqtlsoftware

Identifiers

PMID29880557
PMCPMC6071593

What OpenQuestion holds

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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.