Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
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
_version_ 1782210063735193600
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
work_keys_str_mv AT mittelstrasskirstin discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT riedjaninas discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT yuzhonghao discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT krumsiekjan discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT giegerchristian discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT prehncornelia discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT roemischmarglwerner discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT polonikovalexey discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT petersannette discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT theisfabianj discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT meitingerthomas discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT kronenbergflorian discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT weidingerstephan discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT wichmannheinzerich discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT suhrekarsten discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT wangsattlerrui discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT adamskijerzy discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers
AT illigthomas discoveryofsexualdimorphismsinmetabolicandgeneticbiomarkers