Phenotypic and genome-wide studies on dicarbonyls: major associations to glomerular filtration rate and gamma-glutamyltransferase activity
Background - The dicarbonyl compounds methylglyoxal (MG), glyoxal (GO) and 3-deoxyglucosone (3-DG) have been linked to various diseases. However, disease-independent phenotypic and genotypic association studies with phenome-wide and genome-wide reach, respectively, have not been provided. - Methods...
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
March 2024
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| In: |
EBioMedicine
Year: 2024, Volume: 101, Pages: 1-11 |
| ISSN: | 2352-3964 |
| DOI: | 10.1016/j.ebiom.2024.105007 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.ebiom.2024.105007 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2352396424000422 
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| Author Notes: | Philip Harrer, Julica Inderhees, Chen Zhao, Barbara Schormair, Erik Tilch, Christian Gieger, Annette Peters, Olaf Jöhren, Thomas Fleming, Peter P. Nawroth, Klaus Berger, Marco Hermesdorf, Juliane Winkelmann, Markus Schwaninger, and Konrad Oexle |
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| 245 | 1 | 0 | |a Phenotypic and genome-wide studies on dicarbonyls |b major associations to glomerular filtration rate and gamma-glutamyltransferase activity |c Philip Harrer, Julica Inderhees, Chen Zhao, Barbara Schormair, Erik Tilch, Christian Gieger, Annette Peters, Olaf Jöhren, Thomas Fleming, Peter P. Nawroth, Klaus Berger, Marco Hermesdorf, Juliane Winkelmann, Markus Schwaninger, and Konrad Oexle |
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| 520 | |a Background - The dicarbonyl compounds methylglyoxal (MG), glyoxal (GO) and 3-deoxyglucosone (3-DG) have been linked to various diseases. However, disease-independent phenotypic and genotypic association studies with phenome-wide and genome-wide reach, respectively, have not been provided. - Methods - MG, GO and 3-DG were measured by LC-MS in 1304 serum samples of two populations (KORA, n = 482; BiDirect, n = 822) and assessed for associations with genome-wide SNPs (GWAS) and with phenome-wide traits. Redundancy analysis (RDA) was used to identify major independent trait associations. - Findings - Mutual correlations of dicarbonyls were highly significant, being stronger between MG and GO (ρ = 0.6) than between 3-DG and MG or GO (ρ = 0.4). Significant phenotypic results included associations of all dicarbonyls with sex, waist-to-hip ratio, glomerular filtration rate (GFR), gamma-glutamyltransferase (GGT), and hypertension, of MG and GO with age and C-reactive protein, of GO and 3-DG with glucose and antidiabetics, of MG with contraceptives, of GO with ferritin, and of 3-DG with smoking. RDA revealed GFR, GGT and, in case of 3-DG, glucose as major contributors to dicarbonyl variance. GWAS did not identify genome-wide significant loci. SNPs previously associated with glyoxalase activity did not reach nominal significance. When multiple testing was restricted to the lead SNPs of GWASs on the traits selected by RDA, 3-DG was found to be associated (p = 2.3 × 10−5) with rs1741177, an eQTL of NF-κB inhibitor NFKBIA. - Interpretation - This large-scale, population-based study has identified numerous associations, with GFR and GGT being of pivotal importance, providing unbiased perspectives on dicarbonyls beyond the current state. - Funding - Deutsche Forschungsgemeinschaft, Helmholtz Munich, German Centre for Cardiovascular Research (DZHK), German Federal Ministry of Research and Education (BMBF). | ||
| 650 | 4 | |a Dicarbonyl compounds | |
| 650 | 4 | |a Genome-wide association study | |
| 650 | 4 | |a Glucose | |
| 650 | 4 | |a Kidney function | |
| 650 | 4 | |a Liver enzymes | |
| 650 | 4 | |a Phenotypic association study | |
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| 700 | 1 | |a Zhao, Chen |e VerfasserIn |4 aut | |
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| 700 | 1 | |a Tilch, Erik |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gieger, Christian |e VerfasserIn |4 aut | |
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| 700 | 1 | |a Berger, Klaus |e VerfasserIn |4 aut | |
| 700 | 1 | |a Hermesdorf, Marco |e VerfasserIn |4 aut | |
| 700 | 1 | |a Winkelmann, Juliane |e VerfasserIn |4 aut | |
| 700 | 1 | |a Schwaninger, Markus |e VerfasserIn |4 aut | |
| 700 | 1 | |a Oexle, Konrad |e VerfasserIn |4 aut | |
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