Evidence map›Paper›PMID 33978718›Full record

ArticleNucleic acids research2021

CoffeeProt: an online tool for correlation and functional enrichment of systems genetics data.

Jeffrey Molendijk, Marcus M Seldin, Benjamin L Parker

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. 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
0.5field-weighted citation impact, top 39% 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, 6 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

3 authors at 2 institutions in 2 countries.

Jeffrey MolendijkDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, VIC 3010, Australia.
Marcus M SeldinDepartment of Biological Chemistry and Center for Epigenetics and Metabolism, University of California, Irvine, CA 92697, USA.
Benjamin L ParkerDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, VIC 3010, Australia.ORCID 0000-0003-1818-2183
The University of Melbourne · AUUniversity of California, Irvine · US

Funding

NIDDK Network Coordinating UnitU24DK097771 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Shuibing Chen, Jeffrey S. Grethe · 2013 to 2026
$20.9M
A strategy for discovery of endocrine interactionsR00HL138193 · NHLBI · UNIVERSITY OF CALIFORNIA-IRVINE · PI SELDIN, MARCUS MICHAEL · 2020 to 2022
$745k
Development of a strategy for endocrine axis discoveryK99HL138193 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SELDIN, MARCUS MICHAEL · 2018 to 2019
$268k
NHLBI NIH HHS K99 HL138193NHLBI NIH HHS R00 HL138193NIDDK NIH HHS U24 DK097771
6 · The paper itself

Abstract

The integration of genomics, transcriptomics, proteomics and phenotypic traits across genetically diverse populations is a powerful approach to discover novel biological regulators. The increasing volume of complex data require new and easy-to-use tools accessible to a variety of scientists for the discovery and visualization of functionally relevant associations. To meet this requirement, we developed CoffeeProt, an open-source tool that analyses genetic variants associated to protein networks, other omics datatypes and phenotypic traits. CoffeeProt uses transcriptomics or proteomics data to perform correlation network analyses and annotates results with protein-protein interactions, subcellular localisations and drug associations. It then integrates genetic variants associated with gene expression (eQTLs) or protein abundance (pQTLs) and includes predictions of the potential consequences of variants on gene function. Finally, genetic variants are co-mapped to molecular or phenotypic traits either provided by the user or retrieved directly from publicly available GWAS results. We demonstrate its utility with the analysis of mouse and human population data enabling the rapid identification of genetic variants associated with druggable proteins and clinical traits. We expect that CoffeeProt will serve the systems genetics and basic science research communities, leading to the discovery of novel biologically relevant associations. CoffeeProt is available at www.coffeeprot.com.

Indexed as

SoftwareAnimalsCorrelation of DataGene ExpressionGene Expression ProfilingGenetic VariationGenomicsInternetLipid MetabolismMicePhenotypeProtein Interaction MappingProteinsProteomeProteomicsQuantitative Trait LociProteinsProteome

Identifiers

PMID33978718
PMCPMC8262721
OpenAlexW3161075579

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.