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Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease

PURPOSE: Heritability (h(2), the proportion of the phenotypic variance attributable to additive genetic effects) is traditionally assumed to be constant throughout the distribution of the phenotype. However, the heritabilities of circulating C-reactive protein, interleukin-6, plasminogen activator i...

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Autor principal: Williams, Paul T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743501/
https://www.ncbi.nlm.nih.gov/pubmed/35023945
http://dx.doi.org/10.2147/JIR.S347402
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author Williams, Paul T
author_facet Williams, Paul T
author_sort Williams, Paul T
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description PURPOSE: Heritability (h(2), the proportion of the phenotypic variance attributable to additive genetic effects) is traditionally assumed to be constant throughout the distribution of the phenotype. However, the heritabilities of circulating C-reactive protein, interleukin-6, plasminogen activator inhibitor type-1 (PAI-1), and monocyte chemoattractant protein-1 (MCP-1) concentrations depend upon whether the phenotype is high or low relative to their distributions (quantile-dependent expressivity), which may account for apparent gene–environment interactions. Whether the heritabilities of other inflammatory biomarkers linked to cardiovascular disease are quantile-dependent remain to be determined. PATIENTS AND METHODS: Quantile-specific offspring-parent (β(OP)) and full-sib regression slopes (β(FS)) were estimated by applying quantile regression to the age- and sex-adjusted phenotypes of families surveyed as part of the Framingham Heart Study. Quantile-specific heritabilities were calculated as: h(2)=2β(OP)/(1+r(spouse)) and h(2)={(1+8r(spouse)β(FS))(0.5)–1}/(2r(spouse)). RESULTS: Heritability (h(2) ± SE) of lipoprotein-associated phospholipase A2 (Lp-PLA(2)) mass concentrations increased from 0.11 ± 0.03 at the 10(th) percentile, 0.08 ± 0.03 at the 25(th), 0.12 ± 0.03 at the 50(th), 0.20 ± 0.04 at the 75(th), and 0.26 ± 0.06 at the 90(th) percentile, or 0.0023 ± 0.0006 per each one-percent increase in the phenotype distribution (P(linear trend)= 0.0004). Similarly, h(2) increased 0.0029 ± 0.0011 (P(linear trend)= 0.01) for sP-selectin, 0.0032 ± 0.0009 (P(linear trend)= 0.0001) for soluble intercellular adhesion molecule 1 (sICAM-1), and 0.0026 ± 0.0006 for tumor necrosis factor receptor 2 (TNFR2) (P(linear trend)= 5.0 × 10(−6)) per each one-percent increase in their distributions when estimated from β(OP). Osteoprotegerin and soluble ST2 heritability also increased significantly with increasing percentiles of their distributions when estimated from β(FS). Lp-PLA(2) activity, CD40 ligand, TNFα, interleukin-18, and myeloperoxidase heritability showed no significant quantile-dependence. CONCLUSION: The heritabilities of circulating Lp-PLA(2)-mass, sP-selectin, sICAM-1, TNFR2, osteoprotegerin and soluble ST2 concentrations are quantile-dependent, which may contribute to purported genetic modulations of: 1) sP-selectin’s relationships to venous thrombosis, pulmonary hypertension, type 2 diabetes and atorvastatin treatment; 2) sICAM-I’s relationships to brain abscess and atorvastatin treatment; and 3) Lp-PLA(2)’s relationships to myocardial infarction and preeclampsia.
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spelling pubmed-87435012022-01-11 Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease Williams, Paul T J Inflamm Res Original Research PURPOSE: Heritability (h(2), the proportion of the phenotypic variance attributable to additive genetic effects) is traditionally assumed to be constant throughout the distribution of the phenotype. However, the heritabilities of circulating C-reactive protein, interleukin-6, plasminogen activator inhibitor type-1 (PAI-1), and monocyte chemoattractant protein-1 (MCP-1) concentrations depend upon whether the phenotype is high or low relative to their distributions (quantile-dependent expressivity), which may account for apparent gene–environment interactions. Whether the heritabilities of other inflammatory biomarkers linked to cardiovascular disease are quantile-dependent remain to be determined. PATIENTS AND METHODS: Quantile-specific offspring-parent (β(OP)) and full-sib regression slopes (β(FS)) were estimated by applying quantile regression to the age- and sex-adjusted phenotypes of families surveyed as part of the Framingham Heart Study. Quantile-specific heritabilities were calculated as: h(2)=2β(OP)/(1+r(spouse)) and h(2)={(1+8r(spouse)β(FS))(0.5)–1}/(2r(spouse)). RESULTS: Heritability (h(2) ± SE) of lipoprotein-associated phospholipase A2 (Lp-PLA(2)) mass concentrations increased from 0.11 ± 0.03 at the 10(th) percentile, 0.08 ± 0.03 at the 25(th), 0.12 ± 0.03 at the 50(th), 0.20 ± 0.04 at the 75(th), and 0.26 ± 0.06 at the 90(th) percentile, or 0.0023 ± 0.0006 per each one-percent increase in the phenotype distribution (P(linear trend)= 0.0004). Similarly, h(2) increased 0.0029 ± 0.0011 (P(linear trend)= 0.01) for sP-selectin, 0.0032 ± 0.0009 (P(linear trend)= 0.0001) for soluble intercellular adhesion molecule 1 (sICAM-1), and 0.0026 ± 0.0006 for tumor necrosis factor receptor 2 (TNFR2) (P(linear trend)= 5.0 × 10(−6)) per each one-percent increase in their distributions when estimated from β(OP). Osteoprotegerin and soluble ST2 heritability also increased significantly with increasing percentiles of their distributions when estimated from β(FS). Lp-PLA(2) activity, CD40 ligand, TNFα, interleukin-18, and myeloperoxidase heritability showed no significant quantile-dependence. CONCLUSION: The heritabilities of circulating Lp-PLA(2)-mass, sP-selectin, sICAM-1, TNFR2, osteoprotegerin and soluble ST2 concentrations are quantile-dependent, which may contribute to purported genetic modulations of: 1) sP-selectin’s relationships to venous thrombosis, pulmonary hypertension, type 2 diabetes and atorvastatin treatment; 2) sICAM-I’s relationships to brain abscess and atorvastatin treatment; and 3) Lp-PLA(2)’s relationships to myocardial infarction and preeclampsia. Dove 2022-01-05 /pmc/articles/PMC8743501/ /pubmed/35023945 http://dx.doi.org/10.2147/JIR.S347402 Text en © 2022 Williams. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Williams, Paul T
Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title_full Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title_fullStr Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title_full_unstemmed Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title_short Quantile-Specific Heritability of Inflammatory and Oxidative Stress Biomarkers Linked to Cardiovascular Disease
title_sort quantile-specific heritability of inflammatory and oxidative stress biomarkers linked to cardiovascular disease
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743501/
https://www.ncbi.nlm.nih.gov/pubmed/35023945
http://dx.doi.org/10.2147/JIR.S347402
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