Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution.

Pubmed ID: 32461834

Pubmed Central ID: PMC7233273

Journal: PeerJ

Publication Date: May 15, 2020

Affiliation: Molecular Biophysics & Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.

Authors: Williams PT

Cite As: Williams PT. Spirometric traits show quantile-dependent heritability, which may contribute to their gene-environment interactions with smoking and pollution. PeerJ 2020 May 15;8:e9145. doi: 10.7717/peerj.9145. eCollection 2020.

Studies:

Abstract

BACKGROUND: "Quantile-dependent expressivity" refers to a genetic effect that is dependent upon whether the phenotype (e.g., spirometric data) is high or low relative to its population distribution. Forced vital capacity (FVC), forced expiratory volume in 1 second (FEV<sub>1</sub>), and the FEV<sub>1</sub>/FVC ratio are moderately heritable spirometric traits. The aim of the analyses is to test whether their heritability (<i>h<sup>2</sup></i> ) is constant over all quantiles of their distribution. METHODS: Quantile regression was applied to the mean age, sex, height and smoking-adjusted spirometric data over multiple visits in 9,993 offspring-parent pairs and 1,930 sibships from the Framingham Heart Study to obtain robust estimates of offspring-parent (β<sub>OP</sub>), offspring-midparent (β<sub>OM</sub>), and full-sib regression slopes (β<sub>FS</sub>). Nonparametric significance levels were obtained from 1,000 bootstrap samples. β<sub>OP</sub>s were used as simple indicators of quantile-specific heritability (i.e., <i>h</i> <sup>2</sup> = 2β<sub>OP</sub>/(1+r<sub>spouse</sub>), where r<sub>spouse</sub> was the correlation between spouses). RESULTS: β<sub>OP</sub> ± standard error (SE) decreased by 0.0009 ± 0.0003 (<i>P</i> = 0.003) with every one-percent increment in the population distribution of FEV<sub>1</sub>/FVC, i.e., β<sub>OP</sub> ± SE were: 0.182 ± 0.031, 0.152 ± 0.015; 0.136 ± 0.011; 0.121 ± 0.013; and 0.099 ± 0.013 at the 10th, 25th, 50th, 75th, and 90th percentiles of the FEV<sub>1</sub>/FVC distribution, respectively. These correspond to <i>h<sup>2</sup></i>  ± SEs of 0.350 ± 0.060 at the 10th, 0.292 ± 0.029 at the 25th, 0.262 ± 0.020 at the 50th, 0.234 ± 0.025 at the 75th, and 0.191 ± 0.025 at the 90th percentiles of the FEV<sub>1</sub>/FVC ratio. Maximum mid-expiratory flow (MMEF) <i>h<sup>2</sup></i>  ± SEs increased 0.0025 ± 0.0007 (<i>P</i> = 0.0004) with every one-percent increment in its distribution, i.e.: 0.467 ± 0.046, 0.467 ± 0.033, 0.554 ± 0.038, 0.615 ± 0.042, and 0.675 ± 0.060 at the 10th, 25th, 50th, 75th, and 90th percentiles of its distribution. This was due to forced expiratory flow at 75% of FVC (FEF75%), whose quantile-specific <i>h<sup>2</sup></i> increased an average of 0.0042 ± 0.0008 for every one-percent increment in its distribution. It is speculated that previously reported gene-environment interactions may be partially attributable to quantile-specific <i>h<sup>2</sup></i> , i.e., greater heritability in individuals with lower FEV<sub>1</sub>/FVC due to smoking or airborne particles exposure vs. nonsmoking, unexposed individuals. CONCLUSION: Heritabilities of FEV<sub>1</sub>/FVC, MMEF, and FEF75% from quantile-regression of offspring-parent and sibling spirometric data suggest their quantile-dependent expressivity.