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Genetic ancestry in lung-function predictions.
Tuesday,2012-11-06 12:19 America/Los_Angeles — eenright
| Title | Genetic ancestry in lung-function predictions. |
| Publication Type | Journal Article |
| Year of Publication | 2010 |
| Authors | Kumar, R, Seibold, MA, Aldrich, MC, L Williams, K, Reiner, AP, Colangelo, L, Galanter, J, Gignoux, C, Hu, D, Sen, S, Choudhry, S, Peterson, EL, Rodriguez-Santana, J, Rodriguez-Cintron, W, Nalls, MA, Leak, TS, O'Meara, E, Meibohm, B, Kritchevsky, SB, Li, R, Harris, TB, Nickerson, DA, Fornage, M, Enright, P, Ziv, E, Smith, LJ, Liu, K, Burchard, EG |
| Journal | N Engl J Med |
| Volume | 363 |
| Issue | 4 |
| Pagination | 321-30 |
| Date Published | 2010 Jul 22 |
| ISSN | 1533-4406 |
| Keywords | Adolescent, Adult, African Americans, Aged, Aged, 80 and over, Female, Forced Expiratory Volume, Genetic Markers, Genotype, Humans, Linear Models, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Reference Values, Respiratory Function Tests, Vital Capacity, Young Adult |
| Abstract | <p><b>BACKGROUND: </b>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.</p><p><b>METHODS: </b>We 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.</p><p><b>RESULTS: </b>African 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.</p><p><b>CONCLUSIONS: </b>Current 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.)</p> |
| DOI | 10.1056/NEJMoa0907897 |
| Alternate Journal | N. Engl. J. Med. |
| PubMed ID | 20647190 |
| PubMed Central ID | PMC2922981 |
| Grant List | R01 ES015794 / ES / NIEHS NIH HHS / United States R01 AI061774 / AI / NIAID NIH HHS / United States K23HL093023-01 / HL / NHLBI NIH HHS / United States R01 HL071017 / HL / NHLBI NIH HHS / United States R01 AI79139 / AI / NIAID NIH HHS / United States AI077439 / AI / NIAID NIH HHS / United States N01-AG-6-2101 / AG / NIA NIH HHS / United States N01-HC-85085 / HC / NHLBI NIH HHS / United States ES015794 / ES / NIEHS NIH HHS / United States U01 HL080295 / HL / NHLBI NIH HHS / United States N01-HC-48047 / HC / NHLBI NIH HHS / United States U19 AG023122 / AG / NIA NIH HHS / United States N01-HC-85081 / HC / NHLBI NIH HHS / United States N01-AG-6-2103 / AG / NIA NIH HHS / United States N01 HC015103 / HC / NHLBI NIH HHS / United States R01 HL71862 / HL / NHLBI NIH HHS / United States R01 AI079139 / AI / NIAID NIH HHS / United States R01 HL078885 / HL / NHLBI NIH HHS / United States N01-HC-95095 / HC / NHLBI NIH HHS / United States N01HC55222 / HL / NHLBI NIH HHS / United States N01-HC-85086 / HC / NHLBI NIH HHS / United States N01HC85086 / HL / NHLBI NIH HHS / United States N01-HC-48050 / HC / NHLBI NIH HHS / United States R01 AI61774 / AI / NIAID NIH HHS / United States N01-HC-85082 / HC / NHLBI NIH HHS / United States K23 HL093023 / HL / NHLBI NIH HHS / United States / / Intramural NIH HHS / United States N01 HC-55222 / HC / NHLBI NIH HHS / United States T32 GM007546 / GM / NIGMS NIH HHS / United States HL078885 / HL / NHLBI NIH HHS / United States N01HC95095 / HL / NHLBI NIH HHS / United States K23 HL093023-03 / HL / NHLBI NIH HHS / United States U19 AI077439 / AI / NIAID NIH HHS / United States R01 AG032136 / AG / NIA NIH HHS / United States N01-HC-48049 / HC / NHLBI NIH HHS / United States N01-HC-85083 / HC / NHLBI NIH HHS / United States N01-HC-75150 / HC / NHLBI NIH HHS / United States N01-HC-85080 / HC / NHLBI NIH HHS / United States R01 HL071862 / HL / NHLBI NIH HHS / United States R01 HL71017 / HL / NHLBI NIH HHS / United States N01-AG-6-2106 / AG / NIA NIH HHS / United States U54-RR020278 / RR / NCRR NIH HHS / United States N01HC75150 / HL / NHLBI NIH HHS / United States R01 HL079055 / HL / NHLBI NIH HHS / United States N01HC48047 / HL / NHLBI NIH HHS / United States N01-HC-85079 / HC / NHLBI NIH HHS / United States N01-HC-48048 / HC / NHLBI NIH HHS / United States N01HC85079 / HL / NHLBI NIH HHS / United States N01 HC045133 / HC / NHLBI NIH HHS / United States R01 HL088133 / HL / NHLBI NIH HHS / United States R01 HL79055 / HL / NHLBI NIH HHS / United States N01 HC035129 / HC / NHLBI NIH HHS / United States P30 AG021332 / AG / NIA NIH HHS / United States U54 RR020278 / RR / NCRR NIH HHS / United States HL088133 / HL / NHLBI NIH HHS / United States N01-HC-85084 / HC / NHLBI NIH HHS / United States |