Evidence map›Paper›PMID 20647190›Full record

ArticleThe New England journal of medicine2010

Genetic ancestry in lung-function predictions.

Rajesh Kumar, Max A Seibold, Melinda C Aldrich, L Keoki Williams, Alex P Reiner, Laura Colangelo, Joshua Galanter, Christopher Gignoux, Donglei Hu, Saunak Sen and 18 more

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in The New England journal of medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03248869 (Asthma Mobile Health Application 2.0), which is not on this map. Cited by 146 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 3 pooled it
–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.

NCT03248869 nacompletednot on this mapstarted 2015, after this paper: background citation

Asthma Mobile Health Application 2.0

TypeinterventionalSponsorIcahn School of Medicine at Mount SinaiRan2015 to 2017Enrolled7,752ConditionsAsthmaArmsCurrent Daily Survey, Mobile Health App
3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Genetic ancestry is associated with asthma, and this could be modified by environmental factors. A systematic review.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2023
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. African ancestry, early life exposures, and respiratory morbidity in early childhood.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2012
    Trial
  8. Impact of race on asthma treatment failures in the asthma clinical research network.American journal of respiratory and critical care medicine · 2011
    Trial
  9. Trial
  10. Article
  11. Review
  12. Review
  13. Risk Factors of FEV₁/FVC Decline in COPD Patients.Journal of Korean medical science · 2025
    Observational
  14. Review
  15. Article
  16. Article
  17. Implications of Race Adjustment in Lung-Function Equations.The New England journal of medicine · 2024
    Article
  18. FEVThe European respiratory journal · 2024
    Article
  19. Article
  20. Impact of Spirometry Race-Correction on Preadolescent Black and White Children.The journal of allergy and clinical immunology. In practice · 2023
    Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Rajesh KumarDivision of Allergy and Immunology, Children's Memorial Hospital, 2300 Children's Plaza, Box 60, Chicago IL 60614, USA. rkumar@childrensmemorial.org
Max A Seibold
Melinda C Aldrich
L Keoki Williams
Alex P Reiner
Laura Colangelo
Joshua Galanter
Christopher Gignoux
Donglei Hu
Saunak Sen
Shweta Choudhry
Edward L Peterson
Jose Rodriguez-Santana
William Rodriguez-Cintron
Michael A Nalls
Tennille S Leak
Ellen O'Meara
Bernd Meibohm
Stephen B Kritchevsky
Rongling Li
Tamara B Harris
Deborah A Nickerson
Myriam Fornage
Paul Enright
Elad Ziv
Lewis J Smith
Kiang Liu
Esteban González Burchard

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI Ryan Tewhey · 2004 to 2026
$102.6M
Understanding Asthma EndotypesU19AI077439 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle · 2008 to 2026
$41.1M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
AN NCRR CENTER FOR HIGH THROUGHPUT SNP GENOTYPING AND ANALYSIS: GAIN NETWORKU54RR020278 · NCRR · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2004 to 2008
$14.4M
CLINICAL, PHARMACOLOGY, DRUG ACTION &PHARMACOKINETICST32GM007546 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Radojka Savic · 1985 to 2026
$8.9M
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
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Thrombosis Genetics, MI and Stroke in Older AdultsR01HL071862 · NHLBI · UNIVERSITY OF WASHINGTON · PI REINER, ALEXANDER P · 2003 to 2012
$4.3M
Health, Aging and Body Composition StudyZIAAG007390 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2024
$4.0M
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMAR01AI079139 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2009 to 2013
$3.9M
Whole Genome Analyses for Asthma in Latino PopulationsR01HL088133 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ · 2008 to 2012
$3.8M
Mechanism of Endotoxin's Effect On Allergy RiskR01AI061774 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2004 to 2008
$2.9M
Intramural NIH HHSNCRR NIH HHS U54 RR020278NCRR NIH HHS U54-RR020278NHLBI NIH HHS HL078885NHLBI NIH HHS HL088133NHLBI NIH HHS K23 HL093023NHLBI NIH HHS K23HL093023-01NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC048047NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095095NHLBI NIH HHS N01-HC-48047NHLBI NIH HHS N01-HC-48048NHLBI NIH HHS N01-HC-48049NHLBI NIH HHS N01-HC-48050NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-95095NHLBI NIH HHS R01 HL071017NHLBI NIH HHS R01 HL071862NHLBI NIH HHS R01 HL078885NHLBI NIH HHS R01 HL079055NHLBI NIH HHS R01 HL088133NHLBI NIH HHS R01 HL71017NHLBI NIH HHS R01 HL71862NHLBI NIH HHS R01 HL79055NHLBI NIH HHS U01 HL080295NIAID NIH HHS AI077439NIAID NIH HHS R01 AI061774NIAID NIH HHS R01 AI079139NIAID NIH HHS R01 AI61774NIAID NIH HHS R01 AI79139NIAID NIH HHS U19 AI077439NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG032136NIA NIH HHS U19 AG023122NIEHS NIH HHS ES015794NIEHS NIH HHS R01 ES015794NIGMS NIH HHS T32 GM007546
6 · The paper itself

Abstract

backgroundSelf-identified race or ethnic group is used to determine normal reference standards in the prediction of pulmonary function. We conducted a study to determine whether the genetically determined percentage of African ancestry is associated with lung function and whether its use could improve predictions of lung function among persons who identified themselves as African American.

methodsWe assessed the ancestry of 777 participants self-identified as African American in the Coronary Artery Risk Development in Young Adults (CARDIA) study and evaluated the relation between pulmonary function and ancestry by means of linear regression. We performed similar analyses of data for two independent cohorts of subjects identifying themselves as African American: 813 participants in the Health, Aging, and Body Composition (HABC) study and 579 participants in the Cardiovascular Health Study (CHS). We compared the fit of two types of models to lung-function measurements: models based on the covariates used in standard prediction equations and models incorporating ancestry. We also evaluated the effect of the ancestry-based models on the classification of disease severity in two asthma-study populations.

resultsAfrican ancestry was inversely related to forced expiratory volume in 1 second (FEV(1)) and forced vital capacity in the CARDIA cohort. These relations were also seen in the HABC and CHS cohorts. In predicting lung function, the ancestry-based model fit the data better than standard models. Ancestry-based models resulted in the reclassification of asthma severity (based on the percentage of the predicted FEV(1)) in 4 to 5% of participants.

conclusionsCurrent predictive equations, which rely on self-identified race alone, may misestimate lung function among subjects who identify themselves as African American. Incorporating ancestry into normative equations may improve lung-function estimates and more accurately categorize disease severity. (Funded by the National Institutes of Health and others.)

Indexed as

Respiratory Function TestsAdolescentAdultAgedAged, 80 and overBlack or African AmericanFemaleForced Expiratory VolumeGenetic MarkersGenotypeHumansLinear ModelsMaleMiddle AgedOligonucleotide Array Sequence AnalysisReference ValuesGenetic Markers

Identifiers

PMID20647190
PMCPMC2922981

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Registered trials

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.