Evidence map›Paper›PMID 31959995›Full record

Observational studyNature genetics2020

Genetic studies of urinary metabolites illuminate mechanisms of detoxification and excretion in humans.

Pascal Schlosser, Yong Li, Peggy Sekula, Johannes Raffler, Franziska Grundner-Culemann, Maik Pietzner, Yurong Cheng, Matthias Wuttke, Inga Steinbrenner, Ulla T Schultheiss and 17 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 10 pooled it
17.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 10 syntheses or guidelines pooled it, 147 citations in OpenAlex.

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  2. Use of Mendelian Randomization to Unveil Metabolic Markers inJournal of Korean medical science · 2026
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors at 5 institutions in 4 countries.

Pascal Schlosser *Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-8460-0462
Yong Li *Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-2651-8791
Peggy Sekula *Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-2263-447X
Johannes RafflerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Franziska Grundner-CulemannInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0001-9649-281X
Maik PietznerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Yurong ChengInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Matthias WuttkeInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-3420-5082
Inga SteinbrennerInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Ulla T SchultheissInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Fruzsina KotsisInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Tim KacprowskiGerman Center for Cardiovascular Research (DZHK e.V.), partner site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-5393-2413
Lukas ForerDepartment of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.
Birgit HausknechtDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Arif B EkiciInstitute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-6099-7066
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Uwe VölkerGerman Center for Cardiovascular Research (DZHK e.V.), partner site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-5689-3448
GCKD Investigators
Gerd WalzDepartment of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-4950-9946
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, Regensburg, Germany.
Florian KronenbergDepartment of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID http://orcid.org/0000-0003-2229-1120
Robert P MohneyMetabolon Inc., Durham, NC, USA.ORCID http://orcid.org/0000-0002-9315-9541
Michael KöttgenDepartment of Medicine IV: Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Karsten SuhreDepartment of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar.ORCID http://orcid.org/0000-0001-9638-3912
Kai-Uwe EckardtDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2368-7322
Anna KöttgenInstitute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. anna.koettgen@uniklinik-freiburg.de.ORCID http://orcid.org/0000-0002-4671-3714
University of Freiburg · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEInnsbruck Medical University · ATUniversitätsmedizin Greifswald · DEUniversity Medical Center Freiburg · DE

Funding

Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's DiseaseRF1AG057452 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2017 to 2017
$3.5M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
NIA NIH HHS RF1 AG057452NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS U01 AG061359
6 · The paper itself

Abstract

The kidneys integrate information from continuous systemic processes related to the absorption, distribution, metabolism and excretion (ADME) of metabolites. To identify underlying molecular mechanisms, we performed genome-wide association studies of the urinary concentrations of 1,172 metabolites among 1,627 patients with reduced kidney function. The 240 unique metabolite-locus associations (metabolite quantitative trait loci, mQTLs) that were identified and replicated highlight novel candidate substrates for transport proteins. The identified genes are enriched in ADME-relevant tissues and cell types, and they reveal novel candidates for biotransformation and detoxification reactions. Fine mapping of mQTLs and integration with single-cell gene expression permitted the prioritization of causal genes, functional variants and target cell types. The combination of mQTLs with genetic and health information from 450,000 UK Biobank participants illuminated metabolic mediators, and hence, novel urinary biomarkers of disease risk. This comprehensive resource of genetic targets and their substrates is informative for ADME processes in humans and is relevant to basic science, clinical medicine and pharmaceutical research.

Indexed as

Quantitative Trait LociAcetyltransferasesAlkaline PhosphataseBiomarkersBiotransformationCohort StudiesCytochrome P-450 CYP2D6Genome-Wide Association StudyHumansInactivation, MetabolicKidneyMetoprololPolymorphism, Single NucleotideRenal Insufficiency, ChronicUrineXenobioticsAcetyltransferasesAlkaline PhosphataseALPL protein, humanBiomarkersCytochrome P-450 CYP2D6MetoprololNAT8 protein, humanXenobiotics

Identifiers

PMID31959995
PMCPMC7484970
OpenAlexW2998800236

What OpenQuestion holds

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Registered trials

None linked

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.