Evidence map›Paper›PMID 34836252›Full record

ArticleNutrients2021

Genomics of Postprandial Lipidomics in the Genetics of Lipid-Lowering Drugs and Diet Network Study.

Marguerite R Irvin, May E Montasser, Tobias Kind, Sili Fan, Dinesh K Barupal, Amit Patki, Rikki M Tanner, Nicole D Armstrong, Kathleen A Ryan, Steven A Claas and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 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
0.2field-weighted citation impact, top 50% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 5 institutions in 1 country.

Marguerite R IrvinDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
May E MontasserDepartment of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Tobias KindNIH West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA 95616, USA.ORCID 0000-0002-1908-4916
Sili FanNIH West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA 95616, USA.
Dinesh K BarupalDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Amit PatkiDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Rikki M TannerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Nicole D ArmstrongDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Kathleen A RyanDepartment of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Steven A ClaasCollege of Public Health, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0001-9789-8395
Jeffrey R O'ConnellDepartment of Medicine, Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Hemant K TiwariDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
Donna K ArnettCollege of Public Health, University of Kentucky, Lexington, KY 40536, USA.
University of Alabama at Birmingham · USUniversity of Maryland, Baltimore · USUniversity of California, Davis · USUniversity of Kentucky · USIcahn School of Medicine at Mount Sinai · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
Genome-wide Search for CVD Gene-Environment InteractionsU01HL072515 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULDINER, ALAN R. · 2002 to 2008
$11.2M
MECHANISMS OF HYPERTENSION AND CARDIOVASCULAR DISEASEST32HL007457 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Martin E Young · 1985 to 2026
$8.6M
Genomewide Association Study of Lipid Response to Fenofibrate and Dietary FatR01HL091357 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2008 to 2018
$5.8M
Epigenetic Determinants of Lipid Response to Dietary Fat and FenofibrateR01HL104135 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2010 to 2015
$5.5M
High-performance mixed model toolset for integrative omics analysis of big dataU01HL137181 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI O'CONNELL, JEFFREY R · 2017 to 2019
$1.8M
Genome-wide Association in Families: Data Integrity, Design and Methods IssueU01HL084756 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI O'CONNELL, JEFFREY R · 2006 to 2008
$880k
American Heart Association 15SDG25760020National Heart Lung and Blood Institute R01HL091357National Heart Lung and Blood Institute R01HL104135National Heart Lung and Blood Institute T32HL007457National Heart Lung and Blood Institute U01HL072515National Heart Lung and Blood Institute U01HL072524National Heart Lung and Blood Institute U01HL084756National Heart Lung and Blood Institute U01HL137181NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Postprandial lipemia (PPL) is an important risk factor for cardiovascular disease. Inter-individual variation in the dietary response to a meal is known to be influenced by genetic factors, yet genes that dictate variation in postprandial lipids are not completely characterized. Genetic studies of the plasma lipidome can help to better understand postprandial metabolism by isolating lipid molecular species which are more closely related to the genome. We measured the plasma lipidome at fasting and 6 h after a standardized high-fat meal in 668 participants from the Genetics of Lipid-Lowering Drugs and Diet Network study (GOLDN) using ultra-performance liquid chromatography coupled to (quadrupole) time-of-flight mass spectrometry. A total of 413 unique lipids were identified. Heritable and responsive lipid species were examined for association with single-nucleotide polymorphisms (SNPs) genotyped on the Affymetrix 6.0 array. The most statistically significant SNP findings were replicated in the Amish Heredity and Phenotype Intervention (HAPI) Heart Study. We further followed up findings from GOLDN with a regional analysis of cytosine-phosphate-guanine (CpGs) sites measured on the Illumina HumanMethylation450 array. A total of 132 lipids were both responsive to the meal challenge and heritable in the GOLDN study. After correction for multiple testing of 132 lipids (α = 5 × 10

Indexed as

GenomicsLipidomicsAdultAgedDelta-5 Fatty Acid DesaturaseFatty Acid DesaturasesFemaleGenome-Wide Association StudyGenotypeHumansHypolipidemic AgentsLipidsMaleMealsMiddle AgedPhenotypeDelta-5 Fatty Acid DesaturaseFADS1 protein, humanFADS2 protein, humanFatty Acid DesaturasesHypolipidemic AgentsLipidsFADS1FADS2genomicslipidomicspostprandial

Identifiers

PMID34836252
PMCPMC8617762
OpenAlexW3212869649

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.