6 research outputs found

    Gene Network Analysis in a Pediatric Cohort Identifies Novel Lung Function Genes

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    <div><p>Lung function is a heritable trait and serves as an important clinical predictor of morbidity and mortality for pulmonary conditions in adults, however, despite its importance, no studies have focused on uncovering pediatric-specific loci influencing lung function. To identify novel genetic determinants of pediatric lung function, we conducted a genome-wide association study (GWAS) of four pulmonary function traits, including FVC, FEV<sub>1</sub>, FEV<sub>1</sub>/FVC and FEF<sub>25–75%</sub> in 1556 children. Further, we carried out gene network analyses for each trait including all SNPs with a P-value of <1.0Γ—10<sup>βˆ’3</sup> from the individual GWAS. The GWAS identified SNPs with notable trends towards association with the pulmonary function measures, including the previously described <i>INTS12</i> locus association with FEV1 (p<sub>meta</sub>β€Š=β€Š1.41<b>Γ—</b>10<sup>βˆ’7</sup>). The gene network analyses identified 34 networks of genes associated with pulmonary function variables in Caucasians. Of those, the glycoprotein gene network reached genome-wide significance for all four variables. P-value range p<sub>meta</sub>β€Š=β€Š6.29Γ—10<sup>βˆ’4</sup> - 2.80Γ—10<sup>βˆ’8</sup> on meta-analysis. In this study, we report on specific pathways that are significantly associated with pediatric lung function at genome-wide significance. In addition, we report the first loci associated with lung function in both pediatric Caucasian and African American populations<b>.</b></p></div
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