Article in Genetic epidemiology, 2025. 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
–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.
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
6 authors.
Justine PoDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.ORCID http://orcid.org/0000-0001-5399-2208
John MorrisonDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Brittney MarianDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-8979-7471
Zhanghua ChenDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
W James GaudermanDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.
Erika GarciaDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, California, USA.ORCID http://orcid.org/0000-0003-1540-9805
Funding
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Urban Air Pollution and Children's Respiratory HealthP01ES011627 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AVOL, EDWARD · 2002 to 2011
$30.2M
USC Tobacco Center of Regulatory Science (TCORS) for Vulnerable PopulationsP50CA180905 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENTZ, MARY ANN, SAMET, JONATHAN M · 2013 to 2017
$20.1M
The EVE Asthma Genetics Consortium: Building Upon GWASRC2HL101651 · NHLBI · UNIVERSITY OF CHICAGO · PI NICOLAE, DAN LIVIU, OBER, CAROLE · 2009 to 2010
$7.4M
Urban Air Pollution &Persistent Early Life AsthmaP01ES009581 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GILLILAND, FRANK D. · 1999 to 2010
$6.8M
FACTORS IN CHILDHOOD LUNG SUSCEPTIBILITY TO POLLUTIONR01HL061768 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GILLILAND, FRANK D. · 1999 to 2008
$4.4M
A Genome-wide Association Study of Childhood Respiratory OutcomesR01HL087680 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GAUDERMAN, WILLIAM JAMES · 2007 to 2009
$4.1M
Southern California Children's Environmental Health Center (SC-CEHC)P01ES022845 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HRICKO, ANDREA M · 2013 to 2018
$4.0M
INTEGRATIVE GENETIC APPROACHES TO GENE-AIR POLLUTION INTERACTIONS IN ASTHMAR01ES021801 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AKBARI, OMID, ALLAYEE, HOOMAN · 2012 to 2016
$3.9M
Air Pollution, Inflammation and New Onset AsthmaR01HL076647 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GILLILAND, FRANK D. · 2005 to 2009
$3.6M
Early detection of adverse respiratory effects from air pollutionR01ES023262 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERHANE, KIROS T, GILLILAND, FRANK D. · 2013 to 2016
$2.0M
Childhood Asthma, Susceptibility and Biological Activity of Ambient ParticlesR01ES016535 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MCCONNELL, ROB S · 2008 to 2011
$2.0M
NCI NIH HHS P50 CA180905NHLBI NIH HHS R01 HL061768NHLBI NIH HHS R01 HL076647NHLBI NIH HHS R01 HL087680NHLBI NIH HHS RC2 HL101651NIEHS NIH HHS P01 ES009581NIEHS NIH HHS P01 ES011627NIEHS NIH HHS P01 ES022845NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R00 ES027870NIEHS NIH HHS R01 ES016535NIEHS NIH HHS R01 ES021801NIEHS NIH HHS R01 ES023262NIEHS NIH HHS R03 ES014046This work was supported by the National Institute of Environmental Health Sciences (grant # P30ES007048). The C.H.S. was supported by the National Institute of Environmental Health Sciences (grants P01ES011627, R01ES021801, R01ES023262, P01ES009581, P01ES022845, R01ES016535, R03ES014046, P50CA180905, R01HL061768, R01HL076647, R01HL087680, RC2HL101651, and R00ES027870), the Environmental Protection Agency (grants RD83544101, R826708, RD831861, and R831845), and the Hastings Foundation.
6 · The paper itself
Abstract
Gene-environment interactions have been observed for childhood asthma, however few have been assessed in ethnically diverse populations. Thus, we examined how polygenic risk score (PRS) modifies the association between ambient air pollution exposure (nitrogen dioxide [NO
Indexed as
Air PollutionAsthmaGene-Environment InteractionAdolescentAir PollutantsCaliforniaChildEnvironmental ExposureFemaleGenetic Predisposition to DiseaseHispanic or LatinoHumansIncidenceMaleMultifactorial InheritanceNitrogen DioxideAir PollutantsNitrogen DioxideOzoneParticulate Matterair pollutionchildhood asthmagene−environment interactiongenetic samplinghealth disparitiesHispanic or Latinopolygenic risk score
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.
Gene-Air Pollution Interaction and Diversity of Genetic Sampling: The Southern California Children's Health Study. · full record | OpenQuestion