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Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers
Metabolomic profiling and the integration of whole-genome genetic association data has proven to be a powerful tool to comprehensively explore gene regulatory networks and to investigate the effects of genetic variation at the molecular level. Serum metabolite concentrations allow a direct readout o...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154959/ https://www.ncbi.nlm.nih.gov/pubmed/21852955 http://dx.doi.org/10.1371/journal.pgen.1002215 |
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author | Mittelstrass, Kirstin Ried, Janina S. Yu, Zhonghao Krumsiek, Jan Gieger, Christian Prehn, Cornelia Roemisch-Margl, Werner Polonikov, Alexey Peters, Annette Theis, Fabian J. Meitinger, Thomas Kronenberg, Florian Weidinger, Stephan Wichmann, Heinz Erich Suhre, Karsten Wang-Sattler, Rui Adamski, Jerzy Illig, Thomas |
author_facet | Mittelstrass, Kirstin Ried, Janina S. Yu, Zhonghao Krumsiek, Jan Gieger, Christian Prehn, Cornelia Roemisch-Margl, Werner Polonikov, Alexey Peters, Annette Theis, Fabian J. Meitinger, Thomas Kronenberg, Florian Weidinger, Stephan Wichmann, Heinz Erich Suhre, Karsten Wang-Sattler, Rui Adamski, Jerzy Illig, Thomas |
author_sort | Mittelstrass, Kirstin |
collection | PubMed |
description | Metabolomic profiling and the integration of whole-genome genetic association data has proven to be a powerful tool to comprehensively explore gene regulatory networks and to investigate the effects of genetic variation at the molecular level. Serum metabolite concentrations allow a direct readout of biological processes, and association of specific metabolomic signatures with complex diseases such as Alzheimer's disease and cardiovascular and metabolic disorders has been shown. There are well-known correlations between sex and the incidence, prevalence, age of onset, symptoms, and severity of a disease, as well as the reaction to drugs. However, most of the studies published so far did not consider the role of sexual dimorphism and did not analyse their data stratified by gender. This study investigated sex-specific differences of serum metabolite concentrations and their underlying genetic determination. For discovery and replication we used more than 3,300 independent individuals from KORA F3 and F4 with metabolite measurements of 131 metabolites, including amino acids, phosphatidylcholines, sphingomyelins, acylcarnitines, and C6-sugars. A linear regression approach revealed significant concentration differences between males and females for 102 out of 131 metabolites (p-values<3.8×10(−4); Bonferroni-corrected threshold). Sex-specific genome-wide association studies (GWAS) showed genome-wide significant differences in beta-estimates for SNPs in the CPS1 locus (carbamoyl-phosphate synthase 1, significance level: p<3.8×10(−10); Bonferroni-corrected threshold) for glycine. We showed that the metabolite profiles of males and females are significantly different and, furthermore, that specific genetic variants in metabolism-related genes depict sexual dimorphism. Our study provides new important insights into sex-specific differences of cell regulatory processes and underscores that studies should consider sex-specific effects in design and interpretation. |
format | Online Article Text |
id | pubmed-3154959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31549592011-08-18 Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers Mittelstrass, Kirstin Ried, Janina S. Yu, Zhonghao Krumsiek, Jan Gieger, Christian Prehn, Cornelia Roemisch-Margl, Werner Polonikov, Alexey Peters, Annette Theis, Fabian J. Meitinger, Thomas Kronenberg, Florian Weidinger, Stephan Wichmann, Heinz Erich Suhre, Karsten Wang-Sattler, Rui Adamski, Jerzy Illig, Thomas PLoS Genet Research Article Metabolomic profiling and the integration of whole-genome genetic association data has proven to be a powerful tool to comprehensively explore gene regulatory networks and to investigate the effects of genetic variation at the molecular level. Serum metabolite concentrations allow a direct readout of biological processes, and association of specific metabolomic signatures with complex diseases such as Alzheimer's disease and cardiovascular and metabolic disorders has been shown. There are well-known correlations between sex and the incidence, prevalence, age of onset, symptoms, and severity of a disease, as well as the reaction to drugs. However, most of the studies published so far did not consider the role of sexual dimorphism and did not analyse their data stratified by gender. This study investigated sex-specific differences of serum metabolite concentrations and their underlying genetic determination. For discovery and replication we used more than 3,300 independent individuals from KORA F3 and F4 with metabolite measurements of 131 metabolites, including amino acids, phosphatidylcholines, sphingomyelins, acylcarnitines, and C6-sugars. A linear regression approach revealed significant concentration differences between males and females for 102 out of 131 metabolites (p-values<3.8×10(−4); Bonferroni-corrected threshold). Sex-specific genome-wide association studies (GWAS) showed genome-wide significant differences in beta-estimates for SNPs in the CPS1 locus (carbamoyl-phosphate synthase 1, significance level: p<3.8×10(−10); Bonferroni-corrected threshold) for glycine. We showed that the metabolite profiles of males and females are significantly different and, furthermore, that specific genetic variants in metabolism-related genes depict sexual dimorphism. Our study provides new important insights into sex-specific differences of cell regulatory processes and underscores that studies should consider sex-specific effects in design and interpretation. Public Library of Science 2011-08-11 /pmc/articles/PMC3154959/ /pubmed/21852955 http://dx.doi.org/10.1371/journal.pgen.1002215 Text en Mittelstrass et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Mittelstrass, Kirstin Ried, Janina S. Yu, Zhonghao Krumsiek, Jan Gieger, Christian Prehn, Cornelia Roemisch-Margl, Werner Polonikov, Alexey Peters, Annette Theis, Fabian J. Meitinger, Thomas Kronenberg, Florian Weidinger, Stephan Wichmann, Heinz Erich Suhre, Karsten Wang-Sattler, Rui Adamski, Jerzy Illig, Thomas Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title | Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title_full | Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title_fullStr | Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title_full_unstemmed | Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title_short | Discovery of Sexual Dimorphisms in Metabolic and Genetic Biomarkers |
title_sort | discovery of sexual dimorphisms in metabolic and genetic biomarkers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154959/ https://www.ncbi.nlm.nih.gov/pubmed/21852955 http://dx.doi.org/10.1371/journal.pgen.1002215 |
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