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Genetic Ancestry in Lung-Function Predictions
Author(s) -
Rajesh Kumar,
Max A. Seibold,
Melinda C. Aldrich,
L. Keoki Williams,
Alex P. Reiner,
Laura A. Colangelo,
Joshua Galanter,
Christopher R. Gignoux,
Donglei Hu,
Śaunak Sen,
Shweta Choudhry,
Edward L. Peterson,
José RodríguezSantana,
William Rodríguez-Cintrón,
Michael A. Nalls,
Tennille S. Leak,
Ellen S. 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 G. Burchard
Publication year - 2010
Publication title -
new england journal of medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.889
H-Index - 1030
eISSN - 1533-4406
pISSN - 0028-4793
DOI - 10.1056/nejmoa0907897
Subject(s) - medicine , genetic genealogy , cohort , asthma , lung function , vital capacity , ethnic group , pulmonary function testing , demography , covariate , regression analysis , ancestry informative marker , african american , linear regression , lung , statistics , population , single nucleotide polymorphism , environmental health , genotype , genetics , diffusing capacity , sociology , biology , anthropology , history , ethnology , mathematics , gene
Self-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.

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