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Bringing Lung Function Prediction Equations to Diverse Populations
In this issue of the Journal, LaVange and colleagues (pp. 993-1003) leveraged a large, diverse sample of Latinos enrolled in HCHS/SOL (Hispanic Community Health Study/Study of Latinos) to identify between-group heterogeneity and develop subgroupspecific spirometry reference equations (4). Given the...
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Published in: | American journal of respiratory and critical care medicine 2017-10, Vol.196 (8), p.942-944 |
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Main Author: | |
Format: | Article |
Language: | English |
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Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In this issue of the Journal, LaVange and colleagues (pp. 993-1003) leveraged a large, diverse sample of Latinos enrolled in HCHS/SOL (Hispanic Community Health Study/Study of Latinos) to identify between-group heterogeneity and develop subgroupspecific spirometry reference equations (4). Given the higher prevalence of asthma and chronic obstructive pulmonary disease in these populations (12), the need for accurate reference equations is especially acute. Because HCHS/SOL did not recruit children, there remains a need for high-quality reference equations for Puerto Rican, Dominican, and other Latino children. Previous studies have shown that incorporating African ancestry into lung function prediction equations could improve estimates for normal lung function in healthy African Americans (16), and that subcontinental ancestry was correlated with lung function in Mexicans (15). Genetic diversity and association studies in US Hispanic/Latino populations: applications in the Hispanic Community Health Study/Study of Latinos. |
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ISSN: | 1073-449X 1535-4970 |
DOI: | 10.1164/rccm.201706-1181ED |