ArticleGenome medicine2013
Identification and MS-assisted interpretation of genetically influenced NMR signals in human plasma.
Article in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026Pooled it
- Application of Mendelian randomization to explore metabolic pathways in colorectal cancer.Annals of medicine and surgery (2012) · 2025Article
- Harnessing NMR technology for enhancing field crop improvement: applications, challenges, and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2025Review
- A Genome-Wide Association Study of Serum Metabolite Profiles in Septic Shock Patients.Critical care explorations · 2024Article
- Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals.Nature communications · 2022Article
- Untargeted Metabolome- and Transcriptome-Wide Association Study Suggests Causal Genes Modulating Metabolite Concentrations in Urine.Journal of proteome research · 2021Article
- Article
- Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.Metabolites · 2021Review
- NMR Metabolite Profiles in Male Meat-Eaters, Fish-Eaters, Vegetarians and Vegans, and Comparison with MS Metabolite Profiles.Metabolites · 2021Article
- A large-scale genome-lipid association map guides lipid identification.Nature metabolism · 2020Article
- Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy.PLoS computational biology · 2017Article
- Genome-wide analyses identify common variants associated with macular telangiectasia type 2.Nature genetics · 2017Article
- PATZ1 down-regulates FADS1 by binding to rs174557 and is opposed by SP1/SREBP1c.Nucleic acids research · 2017Article
- Article
- Genetics of human metabolism: an update.Human molecular genetics · 2015Review
- Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality.PLoS genetics · 2015Article
- Look, no hands! Spectral biomarkers from genetic association studies.Genome medicine · 2013Article
- Metabolomics in the studies of islet autoimmunity and type 1 diabetes.The review of diabetic studies : RDS · 2012Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear magnetic resonance spectroscopy (NMR) provides robust readouts of many metabolic parameters in one experiment. However, identification of clinically relevant markers in (1)H NMR spectra is a major challenge. Association of NMR-derived quantities with genetic variants can uncover biologically relevant metabolic traits. Using NMR data of plasma samples from 1,757 individuals from the KORA study together with 655,658 genetic variants, we show that ratios between NMR intensities at two chemical shift positions can provide informative and robust biomarkers. We report seven loci of genetic association with NMR-derived traits (APOA1, CETP, CPS1, GCKR, FADS1, LIPC, PYROXD2) and characterize these traits biochemically using mass spectrometry. These ratios may now be used in clinical studies.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.