Evidence map›Paper›PMID 36482414›Full record

ArticleHuman genomics2022

Comprehensive characterization of putative genetic influences on plasma metabolome in a pediatric cohort.

In-Hee Lee, Matthew Ryan Smith, Azam Yazdani, Sumiti Sandhu, Douglas I Walker, Kenneth D Mandl, Dean P Jones, Sek Won Kong

Open access · goldAbstract read
In one paragraph

Article in Human genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 6 institutions in 1 country.

In-Hee LeeComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Boston, MA, 02215, USA.
Matthew Ryan SmithDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA, 30602, USA.
Azam YazdaniCenter of Perioperative Genetics and Genomics, Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Sumiti SandhuComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Boston, MA, 02215, USA.
Douglas I WalkerDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Kenneth D MandlComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Boston, MA, 02215, USA.
Dean P JonesDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Emory University, Atlanta, GA, 30602, USA.
Sek Won KongComputational Health Informatics Program, Boston Children's Hospital, 401 Park Drive, Boston, MA, 02215, USA. Sekwon.Kong@childrens.harvard.edu.
Boston Children's Hospital · USBrigham and Women's Hospital · USEmory University · USHarvard University · USIcahn School of Medicine at Mount Sinai · USVeterans Health Administration · US

Funding

Instrumenting the Delivery System for a Genomics Research Information CommonsU01TR002623 · NCATS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2019 to 2024
$8.6M
Biorepository of iPSC lines from diverse rat strains for regenerative medicine researchR24OD024622 · OD · MCLEAN HOSPITAL · PI KIM, KWANG-SOO, KONG, SEK WON · 2018 to 2021
$3.4M
Cardiac Exosomes in myocardial Ischemic injuryR01HL150401 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MUEHLSCHLEGEL, JOCHEN DANIEL · 2020 to 2024
$3.3M
An environment-wide association study in autism spectrum disorders using novel bioinformatics methods and metabolomics via mass spectrometryR01MH107205 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI KONG, SEK WON · 2015 to 2019
$2.1M
NCATS NIH HHS U01 TR002623NHLBI NIH HHS R01 HL150401NIH HHS R24 OD024622NIMH NIH HHS R01 MH107205
6 · The paper itself

Abstract

backgroundThe human exposome is composed of diverse metabolites and small chemical compounds originated from endogenous and exogenous sources, respectively. Genetic and environmental factors influence metabolite levels, while the extent of genetic contributions across metabolic pathways is not yet known. Untargeted profiling of human metabolome using high-resolution mass spectrometry (HRMS) combined with genome-wide genotyping allows comprehensive identification of genetically influenced metabolites. As such previous studies of adults discovered and replicated genotype-metabotype associations. However, these associations have not been characterized in children.

resultsWe conducted the largest genome by metabolome-wide association study to date of children (N = 441) using 619,688 common genetic variants and 14,342 features measured by HRMS. Narrow-sense heritability (h

conclusionComprehensive profiling of plasma metabolome across age groups combined with genome-wide genotyping revealed a wide range of genetic influence on diverse chemical species and metabolic pathways. The developmental trajectory of a biological system is shaped by gene-environment interaction especially in early life. Therefore, continuous efforts on generating metabolomics data in diverse human tissue types across age groups are required to understand gene-environment interaction toward healthy aging trajectories.

Indexed as

GenomicsMetabolomicsChildHumans

Identifiers

PMID36482414
PMCPMC9730628
OpenAlexW4311581763

What OpenQuestion holds

Textmetadata
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.