Genome-wide interrogation of longitudinal FEV1 in children with asthma.

ABSTRACT:

Rationale

Most genomic studies of lung function have used phenotypic data derived from a single time-point (e.g., presence/absence of disease) without considering the dynamic progression of a chronic disease.

Objectives

To characterize lung function change over time in subjects with asthma and identify genetic contributors to a longitudinal phenotype.

Methods

We present a method that models longitudinal FEV1 data, collected from 1,041 children with asthma who participated in the Childhood Asthma Management Program. This longitudinal progression model was built using population-based nonlinear mixed-effects modeling with an exponential structure and the determinants of age and height.

Measurements and main results

We found ethnicity was a key covariate for FEV1

SUBMITTER: Wu K 

PROVIDER: S-EPMC4214107 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature