Literature DB >> 30683436

Familial resemblances in human plasma metabolites are attributable to both genetic and common environmental effects.

Bénédicte L Tremblay1, Frédéric Guénard2, Benoît Lamarche3, Louis Pérusse4, Marie-Claude Vohl5.   

Abstract

Metabolites are of great importance for understanding the pathogenesis of several diseases. Understanding the genetic contribution to metabolite concentrations may provide insights into mechanisms of complex diseases. Several studies have investigated heritability of metabolites but none investigated potential influences of genetic and environmental factors on the relationship between metabolites and cardiometabolic (CM) risk factors. Thus, we tested the hypothesis that both genetic and common environmental effects contribute to the variance of plasma metabolite concentrations and that shared genetic and environmental effects explain their phenotypic correlations with CM risk factors. To test this hypothesis, variance component method and bivariate genetic analysis were performed in a family-based sample of 48 French Canadians from 16 families. Familial resemblances were computed for all 147 detected metabolites and 9 (acetylornithine, acylcarnitine C9, arginine, phosphatidylcholine acyl-alkyl C36:4, serotonin, lysophosphatidylcholine acyl C20:4, citrulline, asymmetric dimethylarginine, phosphatidylcholine acyl-alkyl C36:5) showed a significant familial effect (55.7%, 18.7%, and 37.0% for maximal heritability, genetic heritability, and common environmental effect, respectively). Citrulline, phosphatidylcholine acyl-alkyl C36:4, phosphatidylcholine acyl-alkyl C36:5, and serotonin had significant phenotypic correlations with CM risk factors. Citrulline had a positive genetic correlation with apolipoprotein B100, while phosphatidylcholine acyl-alkyl C36:5 had a positive environmental correlation with total cholesterol. In conclusion, familial resemblances in metabolite concentrations were mainly attributable to common environmental effect when considering metabolites with a significant familial effect. Common genetic and environmental factors may also influence the relationship between metabolites and CM risk factors.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bivariate genetic analysis; Cardiometabolic risk factors; Familial resemblances; Human; Metabolomics

Mesh:

Year:  2018        PMID: 30683436     DOI: 10.1016/j.nutres.2018.10.003

Source DB:  PubMed          Journal:  Nutr Res        ISSN: 0271-5317            Impact factor:   3.315


  6 in total

1.  Weighted gene co-expression network analysis to explain the relationship between plasma total carotenoids and lipid profile.

Authors:  Bénédicte L Tremblay; Frédéric Guénard; Benoît Lamarche; Louis Pérusse; Marie-Claude Vohl
Journal:  Genes Nutr       Date:  2019-05-08       Impact factor: 5.523

Review 2.  Heritability estimates for 361 blood metabolites across 40 genome-wide association studies.

Authors:  Fiona A Hagenbeek; René Pool; Jenny van Dongen; Harmen H M Draisma; Jouke Jan Hottenga; Gonneke Willemsen; Abdel Abdellaoui; Iryna O Fedko; Anouk den Braber; Pieter Jelle Visser; Eco J C N de Geus; Ko Willems van Dijk; Aswin Verhoeven; H Eka Suchiman; Marian Beekman; P Eline Slagboom; Cornelia M van Duijn; Amy C Harms; Thomas Hankemeier; Meike Bartels; Michel G Nivard; Dorret I Boomsma
Journal:  Nat Commun       Date:  2020-01-07       Impact factor: 14.919

3.  Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci.

Authors:  Zixian Wang; Qian Zhu; Yibin Liu; Shiyu Chen; Ying Zhang; Qilin Ma; Xiaoping Chen; Chen Liu; Heping Lei; Hui Chen; Jing Wang; Shufen Zheng; Zehua Li; Lingjuan Xiong; Weihua Lai; Shilong Zhong
Journal:  Clin Transl Med       Date:  2021-02

4.  Spousal associations of serum metabolomic profiles by nuclear magnetic resonance spectroscopy.

Authors:  Karema Al Rashid; Neil Goulding; Amy Taylor; Mary Ann Lumsden; Deborah A Lawlor; Scott M Nelson
Journal:  Sci Rep       Date:  2021-11-03       Impact factor: 4.379

5.  Pulmonary embolism and 529 human blood metabolites: genetic correlation and two-sample Mendelian randomization study.

Authors:  Ruoyang Feng; Mengnan Lu; Jiawen Xu; Feng Zhang; Mingyi Yang; Pan Luo; Ke Xu; Peng Xu
Journal:  BMC Genom Data       Date:  2022-08-29

6.  Plasma metabolomics provides new insights into the relationship between metabolites and outcomes and left ventricular remodeling of coronary artery disease.

Authors:  Qian Zhu; Min Qin; Zixian Wang; Yonglin Wu; Xiaoping Chen; Chen Liu; Qilin Ma; Yibin Liu; Weihua Lai; Hui Chen; Jingjing Cai; Yemao Liu; Fang Lei; Bin Zhang; Shuyao Zhang; Guodong He; Hanping Li; Mingliang Zhang; Hui Zheng; Jiyan Chen; Min Huang; Shilong Zhong
Journal:  Cell Biosci       Date:  2022-10-14       Impact factor: 9.584

  6 in total

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