Evidence map›Paper›PMID 30263042›Full record

ArticleBMC proceedings2018

GAW20: methods and strategies for the new frontiers of epigenetics and pharmacogenomics.

Nathan L Tintle, David W Fardo, Mariza de Andrade, Stella Aslibekyan, Julia N Bailey, Justo Lorenzo Bermejo, Rita M Cantor, Saurabh Ghosh, Philip Melton, Xuexia Wang and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC proceedings, 2018. 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 40% 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, 2 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

12 authors at 12 institutions in 4 countries.

Nathan L Tintle1Department of Mathematics and Statistics, Dordt College, 498 4th Ave. NE, Sioux Center, IA 51250 USA.
David W Fardo2Department of Biostatistics, University of Kentucky, 725 Rose St, Lexington, KY 40536 USA.
Mariza de Andrade3Division of Biomedical Statistics, Mayo Clinic, 200 First St. SW, Rochester, MN 55905 USA.
Stella Aslibekyan4Department of Epidemiology, University of Alabama at Birmingham, 1655 University Blvd., Birmingham, AL 35205 USA.
Julia N Bailey5Department of Epidemiology, Fielding School of Public Health, University of California, 650 Charles E. Young Dr. South, Los Angeles, CA 90095 USA.
Justo Lorenzo Bermejo6Institute of Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 130.3, 69120 Heidelberg, Germany.
Rita M Cantor7Department of Human Genetics, David Geffen School of Medicine at University of California, 650 Charles E Young Dr. South, Los Angeles, CA 90095 USA.
Saurabh Ghosh8Indian Statistical Institute, 203 B T Rd., Kolkata, West Bengal 700108 India.
Philip Melton9Curtin/UWA Centre for Genetic Origins of Health and Disease, School of Pharmacy and Biomedical Sciences, Curtin University and School of Biomedical Sciences, The University of Western Australia, 35 Stirling Hwy. (M409), Crawley, WA 6009 Australia.
Xuexia Wang10Department of Mathematics, University of North Texas, 1155 Union Circle #311430, Denton, TX 76201 USA.
Jean W MacCluer11Department of Genetics, Texas Biomedical Research Institute, 8715 W. Military Dr., San Antonio, TX 78227 USA.
Laura Almasy12Department of Genetics, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd., Philadelphia, PA 19104 USA.
Curtin University · AUDordt University · USFielding Graduate University · USHeidelberg University · DEIndian Statistical Institute · INMayo Clinic · USTexas Biomedical Research Institute · USUniversity of Alabama at Birmingham · USUniversity of California, Los Angeles · USUniversity of Kentucky · USUniversity of North Texas · USUniversity of Pennsylvania · US

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
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
Analyzing the behavior and interpreting the results of gene based tests of rare variant associationR15HG006915 · NHGRI · DORDT COLLEGE · PI TINTLE, NATHAN L · 2012 to 2020
$1.3M
Integrative -omics study of postprandial lipoprotein phenotypesK01HL136700 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ASLIBEKYAN, STELLA · 2017 to 2018
$295k
NHGRI NIH HHS R15 HG006915NHLBI NIH HHS K01 HL136700NHLBI NIH HHS R01 HL091357NHLBI NIH HHS R01 HL104135NHLBI NIH HHS U01 HL072524NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

GAW20 provided a platform for developing and evaluating statistical methods to analyze human lipid-related phenotypes, DNA methylation, and single-nucleotide markers in a study involving a pharmaceutical intervention. In this article, we present an overview of the data sets and the contributions analyzing these data. The data, donated by the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) investigators, included data from 188 families (

Identifiers

PMID30263042
PMCPMC6156831
OpenAlexW2889707013

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.