Dataset Information

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

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 (FEV₁), and the FEV₁/FVC ratio are moderately heritable spirometric traits. The aim of the analyses is to test whether their heritability (h² ) 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_OP), offspring-midparent (β_OM), and full-sib regression slopes (β_FS). Nonparametric significance levels were obtained from 1,000 bootstrap samples. β_OPs were used as simple indicators of quantile-specific heritability (i.e., h ² = 2β_OP/(1+r_spouse), where r_spouse was the correlation between spouses).

Results

β_OP ± standard error (SE) decreased by 0.0009 ± 0.0003 (P = 0.003) with every one-percent increment in the population distribution of FEV₁/FVC, i.e., β_OP ± 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 FEV₁/FVC distribution, respectively. These correspond to h² ± 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 FEV₁/FVC ratio. Maximum mid-expiratory flow (MMEF) h² ± SEs increased 0.0025 ± 0.0007 (P = 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 h² 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 h² , i.e., greater heritability in individuals with lower FEV₁/FVC due to smoking or airborne particles exposure vs. nonsmoking, unexposed individuals.

Conclusion

Heritabilities of FEV₁/FVC, MMEF, and FEF75% from quantile-regression of offspring-parent and sibling spirometric data suggest their quantile-dependent expressivity.

SUBMITTER: Williams PT

PROVIDER: S-EPMC7233273 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

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

Williams Paul T PT

PeerJ 20200515

<h4>Background</h4>"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 dist ...[more]

PMID: 32461834

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Project description:"Quantile-dependent expressivity" occurs when the effect size of a genetic variant depends upon whether the phenotype (e.g., leptin) is high or low relative to its distribution. Leptin concentrations are strongly related to adiposity, whose heritability is quantile dependent. Whether inheritance of leptin concentrations is quantile dependent, and whether this explains the greater heritability in women than men in accordance with their greater adiposity, and explains other gene-environment interactions, remains to be determined. Therefore, leptin and leptin receptor concentrations from 3068 siblings in 1133 sibships from the Framingham Heart Study Third Generation Cohort were analyzed. Free leptin index (FLI) was calculated as the ratio of leptin to soluble leptin receptor concentrations. Full-sib (βFS) regression slopes were robustly estimated by quantile regression with nonparametric significance assigned from 1000 bootstrap samples. The analyses showed βFS increased significantly with increasing percentiles of the offspring's age- and sex-adjusted leptin distribution (Plinear = 0.0001), which was accelerated at the higher concentrations (Pquadratic = 0.0003). βFS at the 90th percentile (0.418 ± 0.066) was 4.7-fold greater than at the 10th percentile (0.089 ± 0.032, Pdifference = 3.6 × 10-6). Consistent with quantile-dependent expressivity, the βFS was greater in female sibs, which was attributable to their higher leptin concentrations. Reported gene-environment interactions involving adiposity and LEP, LEPR, MnSOD, PPARγ, PPARγ2, and IRS-1 polymorphisms were consistent with quantile-dependent expressivity of leptin concentrations. βFS for leptin receptor concentrations and free leptin index also increased significantly with increasing percentiles of their distributions (Plinear = 0.04 and Plinear = 8.5 × 10-6, respectively). In conclusion, inherited genetic and shared environmental effects on leptin concentrations were quantile dependent, which likely explains male-female differences in heritability and some gene-environment interactions.

Project description:BackgroundUrinary 8-isoprostane provides a significantly heritable measure of oxidative stress. Prior reports suggest that genetic variants may modulate oxidative stress due to smoking, other environmental factors, and disease. Alternatively, these apparent modulations may reflect a dependence of genetic effects on 8-isoprostane concentrations.MethodTo test whether genetic effects on 8-isoprostane concentrations are quantile-dependent, quantile-specific offspring-parent (βOP) and full-sib regression slopes (βFS) were estimated by applying quantile regression to the age- and sex-adjusted creatinine-standardized urinary 8-isoprostane concentrations of Framingham Heart Study families. Quantile-specific heritabilities were calculated as h2 = 2βOP/(1+rspouse) and h2 = {(1+8rspouseβFS)0.5-1}/(2rspouse)).ResultsSpouse 8-isoprostane concentrations were weakly concordant (rspouse = 0.06). 8-isoprostane heritability (h2±SE) increased significantly with increasing percentiles of its distribution (Plinear trend = 0.0009, Pquadratic trend = 0.0007, Pcubic trend = 0.003) when estimated from βOP, and when estimated from βFS (Plinear trend = 0.005, Pquadratic trend = 0.09, Pcubic trend = 0.06). Compared to the 10th percentile, βOP-estimated h2 was over 22-fold greater at the 90th percentile (Pdifference = 9.2 × 10-5), and 5.3-fold greater when estimated from βFS (Pdifference = 0.004). Significantly higher 8-isoprostane heritability in smokers than nonsmokers (0.352 ± 0.147 vs. 0.061 ± 0.036, Pdifference = 0.01), and heavier than lighter drinkers (0.449 ± 0.216 vs. 0.078 ± 0.037, Pdifference = 0.01) were eliminated when corrected for the higher 8-isoprostane concentrations of the smokers and heavier drinkers.ConclusionHeritability of oxidative stress as measured by 8-isoprostane is quantile-dependent, which may contribute to the larger reported effects on oxidative stress by UCP2 -866G > A, IL6 -572C > G and LTA 252A > G polymorphisms in smokers than nonsmokers, by the UCP2 -866G > A polymorphism in coronary heart disease patients, by the ESRRG rs1890552 A > G polymorphism in type 2 diabetics, by the CYBA 242C > T polymorphism after exercise training, by the PLIN 11482G > A/14995A > T haplotype before weight loss, and by the CYBA -930A > G and GSTP1 I105V haplotypes in patients with pulmonary edema.

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Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

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