Evidence map›Paper›PMID 25363705›Full record

ArticleCirculation. Cardiovascular genetics2014

Human plasma lipidome is pleiotropically associated with cardiovascular risk factors and death.

Claire Bellis, Hemant Kulkarni, Manju Mamtani, Jack W Kent, Gerard Wong, Jacquelyn M Weir, Christopher K Barlow, Vincent Diego, Marcio Almeida, Thomas D Dyer and 8 more

Abstract read
In one paragraph

Article in Circulation. Cardiovascular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Identifying the Lipidomic Effects of a Rare Loss-of-Function Deletion inCirculation. Genomic and precision medicine · 2021
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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

18 authors.

Claire Bellis *Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Hemant Kulkarni *Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Manju MamtaniDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Jack W KentDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Gerard WongBaker IDI Heart and Diabetes Institute, Melbourne VIC, Australia.
Jacquelyn M WeirBaker IDI Heart and Diabetes Institute, Melbourne VIC, Australia.
Christopher K BarlowBaker IDI Heart and Diabetes Institute, Melbourne VIC, Australia.
Vincent DiegoDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Marcio AlmeidaDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Thomas D DyerDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Harald H H GöringDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Laura AlmasyDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Michael C MahaneyDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Anthony G ComuzzieDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Sarah Williams-BlangeroDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Peter J MeikleBaker IDI Heart and Diabetes Institute, Melbourne VIC, Australia.
John BlangeroDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.
Joanne E CurranDepartment of Genetics, Texas Biomedical Research Institute, San Antonio, TX.

Funding

PEDIGREE ANALYSIS OF LIPOPROTEIN PHENOTYPESP01HL045522 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI MAHANEY, MICHAEL CHARLES · 1991 to 2012
$27.6M
Whole Genome Sequencing to Identify Causal Genetic Variants Influencing CVD RiskR01HL113323 · NHLBI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, CURRAN, JOANNE E. · 2012 to 2016
$8.2M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
EXTRAMULAR RESEARCH FACILITIES CONSTRUCTIONC06RR017515 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 2003 to 2003
$3.1M
High Performance Computing System for Human GenomicsS10RR029392 · NCRR · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2010 to 2010
$2.1M
Identification of Regulatory Variants in Novel Candidate Genes for DiabetesR01DK079169 · NIDDK · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI CURRAN, JOANNE E. · 2007 to 2011
$1.7M
Metabolomic studies into the pathogenesis and risk assessment of type 2 diabetesR01DK088972 · NIDDK · BAKER HEART RESEARCH INSTITUTE · PI BLANGERO, JOHN, HAVIV, IZHAK · 2010 to 2012
$905k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NCRR NIH HHS C06 RR017515NCRR NIH HHS S10 RR029392NHLBI NIH HHS P01 HL045522NHLBI NIH HHS R01 HL045522NHLBI NIH HHS R01 HL113323NIDDK NIH HHS R01 DK079169NIDDK NIH HHS R01 DK088972NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the most common cause of death in the United States and is associated with a high economic burden. Prevention of CVD focuses on controlling or improving the lipid profile of patients at risk. The human lipidome is made up of thousands of ubiquitous lipid species. By studying biologically simple canonical lipid species, we investigated whether the lipidome is genetically redundant and whether its genetic influences can provide clinically relevant clues of CVD risk. METHODS AND

resultsWe performed a genetic study of the human lipidome in 1212 individuals from 42 extended Mexican American families. High-throughput mass spectrometry enabled rapid capture of precise lipidomic profiles, providing 319 unique species. Using variance component-based heritability analyses and bivariate trait analyses, we detected significant genetic influences on each lipid assayed. Median heritability of the plasma lipid species was 0.37. Hierarchical clustering based on complex genetic correlation patterns identified 12 genetic clusters that characterized the plasma lipidome. These genetic clusters were differentially but consistently associated with risk factors of CVD, including central obesity, obesity, type 2 diabetes mellitus, raised serum triglycerides, and metabolic syndrome. Also, these clusters consistently predicted occurrence of cardiovascular deaths during follow-up.

conclusionsThe human plasma lipidome is heritable. Shared genetic influences reduce the dimensionality of the human lipidome into clusters that are associated with risk factors of CVD.

Indexed as

AdultCardiovascular DiseasesChromatography, High Pressure LiquidCluster AnalysisDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHumansLipidsMaleMass SpectrometryMetabolic SyndromeMexican AmericansMiddle AgedObesityPrevalenceLipidscardiovascular diseasesgeneticslipids

Identifiers

PMID25363705
PMCPMC4270876

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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.