Evidence map›Paper›PMID 31269707›Full record

ArticleMetabolites2019

A Single Visualization Technique for Displaying Multiple Metabolite-Phenotype Associations.

Mir Henglin, Teemu Niiranen, Jeramie D Watrous, Kim A Lagerborg, Joseph Antonelli, Brian L Claggett, Emmanuella J Demosthenes, Beatrice von Jeinsen, Olga Demler, Ramachandran S Vasan and 3 more

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

13 authors.

Mir HenglinCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Teemu NiiranenNational Institute for Health and Welfare, FI 00271 Helsinki, Finland.
Jeramie D WatrousDepartments of Medicine & Pharmacology, University of California San Diego, La Jolla, CA 92093, USA.
Kim A LagerborgDepartments of Medicine & Pharmacology, University of California San Diego, La Jolla, CA 92093, USA.
Joseph AntonelliDepartment of Statistics, University of Florida, Gainesville, FL 32611, USA.
Brian L ClaggettCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Emmanuella J DemosthenesCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Beatrice von JeinsenFramingham Heart Study, Framingham, MA 01701, USA.
Olga DemlerPreventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA.
Ramachandran S VasanFramingham Heart Study, Framingham, MA 01701, USA.
Martin G LarsonFramingham Heart Study, Framingham, MA 01701, USA.ORCID 0000-0002-9631-1254
Mohit JainDepartments of Medicine & Pharmacology, University of California San Diego, La Jolla, CA 92093, USA. mjain@ucsd.edu.
Susan ChengCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. susan.cheng@cshs.org.

Funding

GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Mapping the Plasma Exposome and its Association with Human Cardiovascular DiseaseR01ES027595 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, MOHIT · 2017 to 2021
$3.3M
CHD Risk and Metabolomic Profiles of Discordant LipidsK01HL135342 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMLER, OLGA · 2017 to 2021
$857k
Microbial contributions to the host metabolomeK01DK116917 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WATROUS, JERAMIE DEAN · 2018 to 2021
$648k
RapidFire mass spectrometry systemS10OD020025 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, MOHIT · 2015 to 2015
$600k
NHLBI NIH HHS K01 HL135342NIDDK NIH HHS K01 DK116917NIEHS NIH HHS R01 ES027595NIEHS NIH HHS T32 ES007142NIH HHS HHSN268201500001INIH HHS K01-HL135342NIH HHS N01-HC-25195NIH HHS R01-ES027595NIH HHS R01-HL134168NIH HHS S10 OD020025NIH HHS T32-ES007142NIH HHS T32-HL007444
6 · The paper itself

Abstract

To assist with management and interpretation of human metabolomics data, which are rapidly increasing in quantity and complexity, we need better visualization tools. Using a dataset of several hundred metabolite measures profiled in a cohort of ~1500 individuals sampled from a population-based community study, we performed association analyses with eight demographic and clinical traits and outcomes. We compared frequently used existing graphical approaches with a novel 'rain plot' approach to display the results of these analyses. The 'rain plot' combines features of a raindrop plot and a conventional heatmap to convey results of multiple association analyses. A rain plot can simultaneously indicate effect size, directionality, and statistical significance of associations between metabolites and several traits. This approach enables visual comparison features of all metabolites examined with a given trait. The rain plot extends prior approaches and offers complementary information for data interpretation. Additional work is needed in data visualizations for metabolomics to assist investigators in the process of understanding and convey large-scale analysis results effectively, feasibly, and practically.

Indexed as

clinical outcomes researchepidemiologymetabolomicsvisualizations

Identifiers

PMID31269707
PMCPMC6680673

What OpenQuestion holds

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LicenceCC BY
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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.