Evidence map›Paper›PMID 27002377›Full record

ArticlePharmacogenetics and genomics2016

A genome-wide study of lipid response to fenofibrate in Caucasians: a combined analysis of the GOLDN and ACCORD studies.

Marguerite R Irvin, Daniel M Rotroff, Stella Aslibekyan, Degui Zhi, Bertha Hidalgo, Alison Motsinger-Reif, Skylar Marvel, Vinodh Srinivasasainagendra, Steven A Claas, John B Buse and 8 more

Open access · greenAbstract read
In one paragraph

Article in Pharmacogenetics and genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Marguerite R IrvinDepartments of aEpidemiology bBiostatistics, University of Alabama at Birmingham, Birmingham, Alabama cDepartment of Statistics, North Carolina State University, Raleigh dUAB Biostatistics, Diabetes Center for Research, University of North Carolina at Chapel Hill School of Medicine eUAB Epidemiology, Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina fDepartment of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, Minnesota gNCState Biostatistics, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts hDepartment of Genetics, Division of Statistical Genomics, Washington University in St Louis, St Louis, Missouri iLaboratory of Statistical and Mathematical Genetics jLaboratory for Biochemistry, Molecular Phenotyping, and Microarray kInstitute for Translational Genomics and Population Sciences, Harbor-UCLA Medical Center, Torrance, California, USA.
Daniel M Rotroff
Stella Aslibekyan
Degui Zhi
Bertha Hidalgo
Alison Motsinger-Reif
Skylar Marvel
Vinodh Srinivasasainagendra
Steven A Claas
John B Buse
Robert J Straka
Jose M Ordovas
Ingrid B Borecki
Xiuqing Guo
Ida Y D Chen
Jerome I Rotter
Michael J Wagner
Donna K Arnett
Tufts University · USUniversity of Alabama at Birmingham · USUniversity of Minnesota · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)UL1TR001111 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$43.9M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Genomewide Association Study of Lipid Response to Fenofibrate and Dietary FatR01HL091357 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2008 to 2018
$5.8M
An Exome-Focused Approach to Pharmacogenetic Analysis of the ACCORD TrialR01HL110380 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, WAGNER, MICHAEL JAY · 2012 to 2015
$2.4M
Phamracogenetics of Hypertriglyceridemia in HispanicsR01HL076771 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KORENMAN, STANLEY · 2004 to 2007
$2.0M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095183 · HC · MINNEAPOLIS MEDICAL RESEARCH FDN, INC. · PI GRIMM, RICHARD H · 1999 to 2000
$1.9M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095181 · HC · CASE WESTERN RESERVE UNIVERSITY · PI THIBONNIER, MARC · 1999 to 2000
$1.8M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095184 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIGGER, J T · 1999 to 2000
$1.7M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUN01HC095182 · HC · WAKE FOREST UNIVERSITY · PI GOFF, DAVID C · 1999 to 2000
$1.6M
PREVENTION OF CARDIOVASCULAR DISEASE IN DIABETES MELLITUS-N01HC95178N01HC095178 · HC · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BYINGTON, ROBERT · 1999 to 2006
$1.5M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001111NCATS NIH HHS UL1 TR002489NHLBI NIH HHS N01 HC095178NHLBI NIH HHS N01 HC095179NHLBI NIH HHS N01 HC095180NHLBI NIH HHS N01 HC095181NHLBI NIH HHS N01 HC095182NHLBI NIH HHS N01 HC095183NHLBI NIH HHS N01 HC095184NHLBI NIH HHS R01 HL076771NHLBI NIH HHS R01 HL091357NHLBI NIH HHS R01 HL110380NHLBI NIH HHS Y01 HC001010NHLBI NIH HHS Y01 HC009035NIDDK NIH HHS P30 DK063491
6 · The paper itself

Abstract

backgroundFibrates are commonly prescribed for hypertriglyceridemia, but they also lower LDL cholesterol and increase HDL cholesterol. Large interindividual variations in lipid response suggest that some patients may benefit more than others and genetic studies could help identify such patients.

methodsWe carried out the first genome-wide association study of lipid response to fenofibrate using data from two well-characterized clinical trials: the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study and the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Study. Genome-wide association study data from both studies were imputed to the 1000 Genomes CEU reference panel (phase 1). Lipid response was modeled as the log ratio of the post-treatment lipid level to the pretreatment level. Linear mixed models (GOLDN, N=813 from 173 families) and linear regression models (ACCORD, N=781) adjusted for pretreatment lipid level, demographic variables, clinical covariates, and ancestry were used to evaluate the association of genetic markers with lipid response. Among Caucasians, the results were combined using inverse-variance weighted fixed-effects meta-analyses. The main findings from the meta-analyses were examined in other ethnic groups from the HyperTG study (N=267 Hispanics) and ACCORD (N=83 Hispanics, 138 African Americans).

resultsA known lipid locus harboring the pre-B-cell leukemia homeobox 4 (PBX4) gene on chromosome 19 is important for LDL cholesterol response to fenofibrate (smallest P=1.5×10). The main results replicated with nominal statistical significance in Hispanics from ACCORD (P<0.05).

conclusionFuture research should evaluate the usefulness of this locus to refine clinical strategies for lipid-lowering treatments.

Indexed as

Genome-Wide Association StudyClinical Trials as TopicFemaleFenofibrateGenetic MarkersGenotypeHumansHypertriglyceridemiaHypolipidemic AgentsLipid MetabolismLipidsMaleMeta-Analysis as TopicMiddle AgedOutcome Assessment, Health CareWhite PeopleFenofibrateGenetic MarkersHypolipidemic AgentsLipids

Identifiers

PMID27002377
PMCPMC4986826
OpenAlexW2308272883

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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.