Literature DB >> 23985338

Familial resemblance for serum metabolite concentrations.

Harmen H M Draisma1, Marian Beekman, René Pool, Gert-Jan B van Ommen, Jerzy Adamski, Cornelia Prehn, Anika A M Vaarhorst, Anton J M de Craen, Gonneke Willemsen, P Eline Slagboom, Dorret I Boomsma.   

Abstract

Metabolomics is the comprehensive study of metabolites, which are the substrates, intermediate, and end products of cellular metabolism. The heritability of the concentrations of circulating metabolites bears relevance for evaluating their suitability as biomarkers for disease. We report aspects of familial resemblance for the concentrations in human serum of more than 100 metabolites, measured using a targeted metabolomics platform. Age- and sex-corrected monozygotic twin correlations, midparent-offspring regression coefficients, and spouse correlations in subjects from two independent cohorts (Netherlands Twin Register and Leiden Longevity Study) were estimated for each metabolite. In the Netherlands Twin Register subjects, who were largely fasting, we found significant monozygotic twin correlations for 121 out of 123 metabolites. Heritability was confirmed by midparent-offspring regression. For most detected metabolites, the correlations between spouses were considerably lower than those between twins, indicating a contribution of genetic effects to familial resemblance. Remarkably high heritability was observed for free carnitine (monozygotic twin correlation 0.66), for the amino acids serine (monozygotic twin correlation 0.77) and threonine (monozygotic twin correlation 0.64), and for phosphatidylcholine acyl-alkyl C40:3 (monozygotic twin correlation 0.77). For octenoylcarnitine, a consistent point estimate of approximately 0.50 was found for the spouse correlations in the two cohorts as well as for the monozygotic twin correlation, suggesting that familiality for this metabolite is explained by shared environment. We conclude that for the majority of metabolites targeted by the used metabolomics platform, the familial resemblance of serum concentrations is largely genetic. Our results contribute to the knowledge of the heritability of fasting serum metabolite concentrations, which is relevant for biomarker research.

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Year:  2013        PMID: 23985338     DOI: 10.1017/thg.2013.59

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  7 in total

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Journal:  Hepatology       Date:  2018-05-20       Impact factor: 17.425

2.  Familial Influences on Mismatch Negativity and Its Association with Plasma Glutamate Level: A Magnetoencephalographic Study in Twins.

Authors:  Yukika Nishimura; Yuki Kawakubo; Motomu Suga; Kenji Hashimoto; Yuichi Takei; Kunio Takei; Hideyuki Inoue; Masato Yumoto; Ryu Takizawa; Kiyoto Kasai
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3.  Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels.

Authors:  Harmen H M Draisma; René Pool; Michael Kobl; Rick Jansen; Ann-Kristin Petersen; Anika A M Vaarhorst; Idil Yet; Toomas Haller; Ayşe Demirkan; Tõnu Esko; Gu Zhu; Stefan Böhringer; Marian Beekman; Jan Bert van Klinken; Werner Römisch-Margl; Cornelia Prehn; Jerzy Adamski; Anton J M de Craen; Elisabeth M van Leeuwen; Najaf Amin; Harish Dharuri; Harm-Jan Westra; Lude Franke; Eco J C de Geus; Jouke Jan Hottenga; Gonneke Willemsen; Anjali K Henders; Grant W Montgomery; Dale R Nyholt; John B Whitfield; Brenda W Penninx; Tim D Spector; Andres Metspalu; P Eline Slagboom; Ko Willems van Dijk; Peter A C 't Hoen; Konstantin Strauch; Nicholas G Martin; Gert-Jan B van Ommen; Thomas Illig; Jordana T Bell; Massimo Mangino; Karsten Suhre; Mark I McCarthy; Christian Gieger; Aaron Isaacs; Cornelia M van Duijn; Dorret I Boomsma
Journal:  Nat Commun       Date:  2015-06-12       Impact factor: 14.919

4.  Effect of genome and environment on metabolic and inflammatory profiles.

Authors:  Marina Sirota; Gonneke Willemsen; Purnima Sundar; Steven J Pitts; Shobha Potluri; Edi Prifti; Sean Kennedy; S Dusko Ehrlich; Jacoline Neuteboom; Cornelis Kluft; Karen E Malone; David R Cox; Eco J C de Geus; Dorret I Boomsma
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

Review 5.  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

6.  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

7.  A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study.

Authors:  Ellis Voerman; Vincent W V Jaddoe; Olaf Uhl; Engy Shokry; Jeannie Horak; Janine F Felix; Berthold Koletzko; Romy Gaillard
Journal:  Metabolomics       Date:  2020-03-23       Impact factor: 4.290

  7 in total

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