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Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study

BACKGROUND: It is unclear to what extent genetics explain the familial clustering and the co-occurrence of distinct cardiometabolic disorders in the general population. We therefore aimed to quantify the familial (co-)aggregation of various cardiometabolic disorders and to estimate the heritability...

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Autores principales: Triatin, Rima D., Chen, Zekai, Ani, Alireza, Wang, Rujia, Hartman, Catharina A., Nolte, Ilja M., Thio, Chris H. L., Snieder, Harold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590015/
https://www.ncbi.nlm.nih.gov/pubmed/37865744
http://dx.doi.org/10.1186/s12933-023-02017-w
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author Triatin, Rima D.
Chen, Zekai
Ani, Alireza
Wang, Rujia
Hartman, Catharina A.
Nolte, Ilja M.
Thio, Chris H. L.
Snieder, Harold
author_facet Triatin, Rima D.
Chen, Zekai
Ani, Alireza
Wang, Rujia
Hartman, Catharina A.
Nolte, Ilja M.
Thio, Chris H. L.
Snieder, Harold
author_sort Triatin, Rima D.
collection PubMed
description BACKGROUND: It is unclear to what extent genetics explain the familial clustering and the co-occurrence of distinct cardiometabolic disorders in the general population. We therefore aimed to quantify the familial (co-)aggregation of various cardiometabolic disorders and to estimate the heritability of cardiometabolic traits and their genetic correlations using the large, multi-generational Lifelines Cohort Study. METHODS: We used baseline data of 162,416 participants from Lifelines. Cardiometabolic disorders including type 2 diabetes (T2D), cardiovascular diseases, hypertension, obesity, hypercholesterolemia, and metabolic syndrome (MetS), were defined in adult participants. Fifteen additional cardiometabolic traits indexing obesity, blood pressure, inflammation, glucose regulation, and lipid levels were measured in all included participants. Recurrence risk ratios (λ(R)) for first-degree relatives (FDR) indexed familial (co-)aggregation of cardiometabolic disorders using modified conditional Cox proportional hazards models and were compared to those of spouses. Heritability (h(2)), shared environment, and genetic correlation (r(g)) were estimated using restricted maximum likelihood variance decomposition methods, adjusted for age, age(2), and sex. RESULTS: Individuals with a first-degree relative with a cardiometabolic disorder had a higher risk of the same disorder, ranging from λ(FDR) of 1.23 (95% CI 1.20–1.25) for hypertension to λ(FDR) of 2.48 (95% CI 2.15–2.86) for T2D. Most of these were higher than in spouses (λ(Spouses) < λ(FDR)), except for obesity which was slightly higher in spouses. We found moderate heritability for cardiometabolic traits (from h(2)(CRP): 0.26 to h(2)(HDL): 0.50). Cardiometabolic disorders showed positive familial co-aggregation, particularly between T2D, MetS, and obesity (from λ(FDR obesity-MetS): 1.28 (95% CI 1.24–1.32) to λ(FDR MetS-T2D): 1.61 (95% CI 1.52–1.70)), consistent with the genetic correlations between continuous intermediate traits (ranging from r(g HDL-Triglycerides): − 0.53 to r(g LDL-Apolipoprotein B): 0.94). CONCLUSIONS: There is positive familial (co-)aggregation of cardiometabolic disorder, moderate heritability of intermediate traits, and moderate genetic correlations between traits. These results indicate that shared genetics and common genetic architecture contribute to cardiometabolic disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-02017-w.
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spelling pubmed-105900152023-10-22 Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study Triatin, Rima D. Chen, Zekai Ani, Alireza Wang, Rujia Hartman, Catharina A. Nolte, Ilja M. Thio, Chris H. L. Snieder, Harold Cardiovasc Diabetol Research BACKGROUND: It is unclear to what extent genetics explain the familial clustering and the co-occurrence of distinct cardiometabolic disorders in the general population. We therefore aimed to quantify the familial (co-)aggregation of various cardiometabolic disorders and to estimate the heritability of cardiometabolic traits and their genetic correlations using the large, multi-generational Lifelines Cohort Study. METHODS: We used baseline data of 162,416 participants from Lifelines. Cardiometabolic disorders including type 2 diabetes (T2D), cardiovascular diseases, hypertension, obesity, hypercholesterolemia, and metabolic syndrome (MetS), were defined in adult participants. Fifteen additional cardiometabolic traits indexing obesity, blood pressure, inflammation, glucose regulation, and lipid levels were measured in all included participants. Recurrence risk ratios (λ(R)) for first-degree relatives (FDR) indexed familial (co-)aggregation of cardiometabolic disorders using modified conditional Cox proportional hazards models and were compared to those of spouses. Heritability (h(2)), shared environment, and genetic correlation (r(g)) were estimated using restricted maximum likelihood variance decomposition methods, adjusted for age, age(2), and sex. RESULTS: Individuals with a first-degree relative with a cardiometabolic disorder had a higher risk of the same disorder, ranging from λ(FDR) of 1.23 (95% CI 1.20–1.25) for hypertension to λ(FDR) of 2.48 (95% CI 2.15–2.86) for T2D. Most of these were higher than in spouses (λ(Spouses) < λ(FDR)), except for obesity which was slightly higher in spouses. We found moderate heritability for cardiometabolic traits (from h(2)(CRP): 0.26 to h(2)(HDL): 0.50). Cardiometabolic disorders showed positive familial co-aggregation, particularly between T2D, MetS, and obesity (from λ(FDR obesity-MetS): 1.28 (95% CI 1.24–1.32) to λ(FDR MetS-T2D): 1.61 (95% CI 1.52–1.70)), consistent with the genetic correlations between continuous intermediate traits (ranging from r(g HDL-Triglycerides): − 0.53 to r(g LDL-Apolipoprotein B): 0.94). CONCLUSIONS: There is positive familial (co-)aggregation of cardiometabolic disorder, moderate heritability of intermediate traits, and moderate genetic correlations between traits. These results indicate that shared genetics and common genetic architecture contribute to cardiometabolic disease. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-02017-w. BioMed Central 2023-10-21 /pmc/articles/PMC10590015/ /pubmed/37865744 http://dx.doi.org/10.1186/s12933-023-02017-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Triatin, Rima D.
Chen, Zekai
Ani, Alireza
Wang, Rujia
Hartman, Catharina A.
Nolte, Ilja M.
Thio, Chris H. L.
Snieder, Harold
Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title_full Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title_fullStr Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title_full_unstemmed Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title_short Familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational Lifelines Cohort Study
title_sort familial co-aggregation and shared genetics of cardiometabolic disorders and traits: data from the multi-generational lifelines cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590015/
https://www.ncbi.nlm.nih.gov/pubmed/37865744
http://dx.doi.org/10.1186/s12933-023-02017-w
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