Evidence map›Paper›PMID 29909275›Full record

ArticleCell systems2018

Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes.

Pooja Jha, Molly T McDevitt, Emina Halilbasic, Evan G Williams, Pedro M Quiros, Karim Gariani, Maroun B Sleiman, Rahul Gupta, Arne Ulbrich, Adam Jochem and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
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  6. Frontiers in cardiovascular medicine · 2025
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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

14 authors at 4 institutions in 3 countries.

Pooja JhaLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland.
Molly T McDevittMorgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA.
Emina HalilbasicHans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
Evan G WilliamsLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland.
Pedro M QuirosLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland.
Karim GarianiLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland.
Maroun B SleimanLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland.
Rahul GuptaMorgridge Institute for Research, Madison, WI 53715, USA.
Arne UlbrichDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Adam JochemMorgridge Institute for Research, Madison, WI 53715, USA.
Joshua J CoonDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA; Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Michael TraunerHans Popper Laboratory of Molecular Hepatology, Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.
David J PagliariniMorgridge Institute for Research, Madison, WI 53715, USA; Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: dpagliarini@morgridge.org.
Johan AuwerxLaboratory of Integrative and Systems Physiology, École Polytchnique Fédérale de Lausanne, Lausanne 1015, Switzerland. Electronic address: admin.auwerx@epfl.ch.
École Polytechnique Fédérale de Lausanne · CHUniversity of Wisconsin–Madison · USMedical University of Vienna · ATMorgridge Institute for Research · US

Funding

GRADUATE TRAINING IN MOLECULAR BIOSCIENCEST32GM007215 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI HULL, CHRISTINA M · 1985 to 2018
$22.5M
TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2016 to 2025
$13.1M
Structure, Function and Regulation of the ProteomeR35GM118110 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$9.1M
Translational Systems Genetics of Mitochondria, Metabolism, and AgingR01AG043930 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2013 to 2017
$2.5M
Systematic functional annotation of the mitochondrial proteomeR01GM115591 · NIGMS · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI PAGLIARINI, DAVID J · 2016 to 2018
$1.1M
Identifying Biomolecular Networks Driving Metabolic Trait VariationF32GM119190 · NIGMS · SWISS FEDERAL INST OF TECH (ETH ZURICH) · PI WILLIAMS, EVAN GRAEHL · 2016 to 2018
$174k
NIA NIH HHS R01 AG043930NIGMS NIH HHS F32 GM119190NIGMS NIH HHS P41 GM108538NIGMS NIH HHS R01 GM115591NIGMS NIH HHS R35 GM118110NIGMS NIH HHS T32 GM007215
6 · The paper itself

Abstract

The genetic regulation and physiological impact of most lipid species are unexplored. Here, we profiled 129 plasma lipid species across 49 strains of the BXD mouse genetic reference population fed either chow or a high-fat diet. By integrating these data with genomics and phenomics datasets, we elucidated genes by environment (diet) interactions that regulate systemic metabolism. We found quantitative trait loci (QTLs) for ∼94% of the lipids measured. Several QTLs harbored genes associated with blood lipid levels and abnormal lipid metabolism in human genome-wide association studies. Lipid species from different classes provided signatures of metabolic health, including seven plasma triglyceride species that associated with either healthy or fatty liver. This observation was further validated in an independent mouse model of non-alcoholic fatty liver disease (NAFLD) and in plasma from NAFLD patients. This work provides a resource to identify plausible genes regulating the measured lipid species and their association with metabolic traits.

Indexed as

AdultAnimalsCohort StudiesDiet, High-FatDisease Models, AnimalFemaleGene Expression RegulationGenome-Wide Association StudyHumansLipid MetabolismLipidsLiverMaleMiceMice, Inbred C57BLMice, Inbred DBALipidsTriglyceridesBXDfatty liver,genetic reference population, GRP,genetic variationlipidomicslipid speciesnon-alcoholic fatty liver disease, NAFLD,quantitative trait locus, QTL,steatosis,TAG,

Identifiers

PMID29909275
PMCPMC6397773
OpenAlexW2808430950

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.