Literature DB >> 24047826

Genome-wide association study identifies 3 genomic loci significantly associated with serum levels of homoarginine: the AtheroRemo Consortium.

Marcus E Kleber, Ilkka Seppälä, Stefan Pilz, Michael M Hoffmann, Andreas Tomaschitz, Niku Oksala, Emma Raitoharju, Leo-Pekka Lyytikäinen, Kari-Matti Mäkelä, Reijo Laaksonen, Mika Kähönen, Olli T Raitakari, Jie Huang, Katharina Kienreich, Astrid Fahrleitner-Pammer, Christiane Drechsler, Vera Krane, Bernhard O Boehm, Wolfgang Koenig, Christoph Wanner, Terho Lehtimäki, Winfried März, Andreas Meinitzer.   

Abstract

BACKGROUND: Low serum levels of the amino acid derivative, homoarginine, have been associated with increased risk of total and cardiovascular mortality. Homoarginine deficiency may be related to renal and heart diseases, but the pathophysiologic role of homoarginine and the genetic regulation of its serum levels are largely unknown. METHODS AND
RESULTS: In 3041 patients of the Ludwigshafen Risk and Cardiovascular Health (LURIC) study referred for coronary angiography and 2102 participants of the Young Finns Study (YFS), we performed a genome-wide association study to identify genomic loci associated with homoarginine serum levels and tested for associations of identified single-nucleotide polymorphisms with mortality in LURIC. We found genome-wide significant associations with homoarginine serum levels on chromosome 2 at the carbamoyl phosphate synthetase I locus, on chromosome 5 at the alanine-glyoxylate aminotransferase 2 locus, and on chromosome 15 at the glycine amidinotransferase locus, as well as a suggestive association on chromosome 6 at the Homo sapiens mediator complex subunit 23 gene/arginase I locus. All loci harbor enzymes located in the mitochondrium are involved in arginine metabolism. The strongest association was observed for rs1153858 at the glycine amidinotransferase locus with a P value of 1.25E-45 in the combined analysis and has been replicated in both the Die Deutsche Diabetes Dialyse Studie (4D study) and the Graz Endocrine Causes of Hypertension (GECOH) study.
CONCLUSIONS: In our genome-wide association study, we identified 3 chromosomal regions significantly associated with serum homoarginine and another region with suggestive association, providing novel insights into the genetic regulation of homoarginine.

Entities:  

Keywords:  amino acids; arteriosclerosis; cardiovascular diseases; genome-wide association study

Mesh:

Substances:

Year:  2013        PMID: 24047826     DOI: 10.1161/CIRCGENETICS.113.000108

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  19 in total

1.  Genome-wide analyses identify common variants associated with macular telangiectasia type 2.

Authors:  Thomas S Scerri; Anna Quaglieri; Carolyn Cai; Jana Zernant; Nori Matsunami; Lisa Baird; Lea Scheppke; Roberto Bonelli; Lawrence A Yannuzzi; Martin Friedlander; Catherine A Egan; Marcus Fruttiger; Mark Leppert; Rando Allikmets; Melanie Bahlo
Journal:  Nat Genet       Date:  2017-02-27       Impact factor: 38.330

Review 2.  The Genetic Architecture of Coronary Artery Disease: Current Knowledge and Future Opportunities.

Authors:  Jaana Hartiala; William S Schwartzman; Julian Gabbay; Anatole Ghazalpour; Brian J Bennett; Hooman Allayee
Journal:  Curr Atheroscler Rep       Date:  2017-02       Impact factor: 5.113

3.  Population kinetics of homoarginine and optimized supplementation for cardiovascular risk reduction.

Authors:  Edzard Schwedhelm; Sebastian G Wicha; Christine J Kleist; Chi-Un Choe; Dorothee Atzler; Mirjam Schönhoff; Rainer Böger
Journal:  Amino Acids       Date:  2022-05-26       Impact factor: 3.789

Review 4.  The Pitfalls of in vivo Cardiac Physiology in Genetically Modified Mice - Lessons Learnt the Hard Way in the Creatine Kinase System.

Authors:  Craig A Lygate
Journal:  Front Physiol       Date:  2021-05-14       Impact factor: 4.566

Review 5.  Genetics of human metabolism: an update.

Authors:  Gabi Kastenmüller; Johannes Raffler; Christian Gieger; Karsten Suhre
Journal:  Hum Mol Genet       Date:  2015-07-09       Impact factor: 6.150

6.  Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality.

Authors:  Johannes Raffler; Nele Friedrich; Matthias Arnold; Tim Kacprowski; Rico Rueedi; Elisabeth Altmaier; Sven Bergmann; Kathrin Budde; Christian Gieger; Georg Homuth; Maik Pietzner; Werner Römisch-Margl; Konstantin Strauch; Henry Völzke; Melanie Waldenberger; Henri Wallaschofski; Matthias Nauck; Uwe Völker; Gabi Kastenmüller; Karsten Suhre
Journal:  PLoS Genet       Date:  2015-09-09       Impact factor: 5.917

7.  A Novel Pathway for Metabolism of the Cardiovascular Risk Factor Homoarginine by alanine:glyoxylate aminotransferase 2.

Authors:  Roman N Rodionov; Elisa Oppici; Jens Martens-Lobenhoffer; Natalia Jarzebska; Silke Brilloff; Dmitrii Burdin; Anton Demyanov; Anne Kolouschek; James Leiper; Renke Maas; Barbara Cellini; Norbert Weiss; Stefanie M Bode-Böger
Journal:  Sci Rep       Date:  2016-10-18       Impact factor: 4.379

8.  The prognostic biomarker L-homoarginine is a substrate of the cationic amino acid transporters CAT1, CAT2A and CAT2B.

Authors:  Anja Chafai; Martin F Fromm; Jörg König; Renke Maas
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

9.  Alanine-glyoxylate aminotransferase 2 (AGXT2) polymorphisms have considerable impact on methylarginine and β-aminoisobutyrate metabolism in healthy volunteers.

Authors:  Anja Kittel; Fabian Müller; Jörg König; Maren Mieth; Heinrich Sticht; Oliver Zolk; Ana Kralj; Markus R Heinrich; Martin F Fromm; Renke Maas
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

10.  Genome-wide association study and targeted metabolomics identifies sex-specific association of CPS1 with coronary artery disease.

Authors:  Jaana A Hartiala; W H Wilson Tang; Zeneng Wang; Amanda L Crow; Alexandre F R Stewart; Robert Roberts; Ruth McPherson; Jeanette Erdmann; Christina Willenborg; Stanley L Hazen; Hooman Allayee
Journal:  Nat Commun       Date:  2016-01-29       Impact factor: 14.919

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