Evidence map›Paper›PMID 32636926›Full record

ArticleBioData mining2020

An epistatic interaction between pre-natal smoke exposure and socioeconomic status has a significant impact on bronchodilator drug response in African American youth with asthma.

J Magaña, M G Contreras, K L Keys, O Risse-Adams, P C Goddard, A M Zeiger, A C Y Mak, J R Elhawary, L A Samedy-Bates, E Lee and 8 more

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

Article in BioData mining, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

18 authors at 4 institutions in 2 countries.

J MagañaDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
M G ContrerasDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
K L KeysDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
O Risse-AdamsDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
P C GoddardDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
A M ZeigerDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
A C Y MakDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
J R ElhawaryDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
L A Samedy-BatesDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA USA.
E LeeDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
N ThakurDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
D HuDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
C EngDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
S SalazarDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
S HuntsmanDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
T HuSchool of Computing, Queen's University, Kingston, ON Canada.
E G BurchardDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.
M J WhiteDepartment of Medicine, University of California, 1550 4th Street, UCSF Rock Hall, Box 2911, San Francisco, CA 94158 USA.ORCID 0000-0002-7344-5655
University of California, San Francisco · USQueen's University · CAThomas Jefferson University · USUniversity of Massachusetts Lowell · US

Funding

New Approaches for Empowering Studies of Asthma in Populations of African DescentR01HL104608 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BARNES, KATHLEEN C, KENNY, EIMEAR ELIZABETH · 2011 to 2022
$23.1M
SF BUILD: Enabling Students to Represnt in ScienceUL1GM118985 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2023
$18.2M
UPGRADE OF COMMUNICATIONS INFRASTRUCTURET34GM008574 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI BAYLISS, FRANK T, ESQUERRA, RAYMOND M. · 1996 to 2021
$14.5M
The Airway Functional Genomics of Bronchodilator Drug Response in Minority Children with AsthmaR01HL117004 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SEIBOLD, MAX A · 2013 to 2022
$9.3M
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHILLINGER, DEAN · 2012 to 2016
$6.4M
SF BUILD: Enabling Students to Represent in ScienceTL4GM118986 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2022
$5.4M
Gene-environments and Admixture in Latino Asthmatics (GALA 2)R01ES015794 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2008 to 2012
$5.4M
SF BUILD: Enabling Students to Represent in ScienceRL5GM118984 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2023
$5.2M
Transcriptomic and Pharmacogenetic Asthma Endotypes in Minority ChildrenR01HL135156 · NHLBI · NATIONAL JEWISH HEALTH · PI SEIBOLD, MAX A, ZIV, ELAD · 2017 to 2021
$4.1M
Genes, air pollution, and asthma severity in minority childrenR01MD010443 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEIBOLD, MAX A, ZIV, ELAD · 2016 to 2020
$3.8M
Genetic Control of Airway Epithelium Gene Expression in Childhood AsthmaticsR01HL128439 · NHLBI · NATIONAL JEWISH HEALTH · PI SEIBOLD, MAX A · 2015 to 2019
$3.1M
Social adversities and asthma: a new phenotype?K23HL125551 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THAKUR, NEETA · 2016 to 2020
$1.0M
NHLBI NIH HHS K01 HL140218NHLBI NIH HHS K23 HL125551NHLBI NIH HHS R01 HL104608NHLBI NIH HHS R01 HL117004NHLBI NIH HHS R01 HL128439NHLBI NIH HHS R01 HL135156NHLBI NIH HHS R01 HL141992NIEHS NIH HHS R01 ES015794NIEHS NIH HHS R21 ES024844NIGMS NIH HHS RL5 GM118984NIGMS NIH HHS T34 GM008574NIGMS NIH HHS TL4 GM118986NIGMS NIH HHS UL1 GM118985NIMHD NIH HHS P60 MD006902NIMHD NIH HHS R01 MD010443
6 · The paper itself

Abstract

backgroundAsthma is one of the leading chronic illnesses among children in the United States. Asthma prevalence is higher among African Americans (11.2%) compared to European Americans (7.7%). Bronchodilator medications are part of the first-line therapy, and the rescue medication, for acute asthma symptoms. Bronchodilator drug response (BDR) varies substantially among different racial/ethnic groups. Asthma prevalence in African Americans is only 3.5% higher than that of European Americans, however, asthma mortality among African Americans is four times that of European Americans; variation in BDR may play an important role in explaining this health disparity. To improve our understanding of disparate health outcomes in complex phenotypes such as BDR, it is important to consider interactions between environmental and biological variables.

resultsWe evaluated the impact of pairwise and three-variable interactions between environmental, social, and biological variables on BDR in 233 African American youth with asthma using Visualization of Statistical Epistasis Networks (ViSEN). ViSEN is a non-parametric entropy-based approach able to quantify interaction effects using an information-theory metric known as Information Gain (IG). We performed analyses in the full dataset and in sex-stratified subsets. Our analyses identified several interaction models significantly, and suggestively, associated with BDR. The strongest interaction significantly associated with BDR was a pairwise interaction between pre-natal smoke exposure and socioeconomic status (full dataset IG: 2.78%,

conclusionsOur study identified novel interaction effects significantly, and suggestively, associated with BDR in African American children with asthma. Notably, we found that all of the interactions identified by ViSEN were "pure" interaction effects, in that they were not the result of strong main effects on BDR, highlighting the complexity of the network of biological and environmental factors impacting this phenotype. Several associations uncovered by ViSEN would not have been detected using regression-based methods, thus emphasizing the importance of employing statistical methods optimized to detect both additive and non-additive interaction effects when studying complex phenotypes such as BDR. The information gained in this study increases our understanding and appreciation of the complex nature of the interactions between environmental and health-related factors that influence BDR and will be invaluable to biomedical researchers designing future studies.

Indexed as

Epistatic interactions; Non-parametric methods; Asthma drug response; Health disparities; Pediatric asthma

Identifiers

PMID32636926
PMCPMC7333373
OpenAlexW3040486170

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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.