Literature DB >> 31959995

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

Pascal Schlosser1, Yong Li1, Peggy Sekula1, Johannes Raffler2, Franziska Grundner-Culemann1, Maik Pietzner3,4, Yurong Cheng1, Matthias Wuttke1,5, Inga Steinbrenner1, Ulla T Schultheiss1,5, Fruzsina Kotsis1,5, Tim Kacprowski4,6,7, Lukas Forer8, Birgit Hausknecht9, Arif B Ekici10, Matthias Nauck3,4, Uwe Völker4,6, Gerd Walz5, Peter J Oefner11, Florian Kronenberg8, Robert P Mohney12, Michael Köttgen5, Karsten Suhre13, Kai-Uwe Eckardt9,14, Gabi Kastenmüller2, Anna Köttgen15.   

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.

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Year:  2020        PMID: 31959995      PMCID: PMC7484970          DOI: 10.1038/s41588-019-0567-8

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  45 in total

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  34 in total

1.  MendelVar: gene prioritisation at GWAS loci using phenotypic enrichment of mendelian disease genes.

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Journal:  Kidney Int       Date:  2022-02-01       Impact factor: 10.612

4.  Association of Physical Activity With Bioactive Lipids and Cardiovascular Events.

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Review 5.  Multi-omics study for interpretation of genome-wide association study.

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7.  Genome-wide analysis identifies novel susceptibility loci for myocardial infarction.

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Journal:  Eur Heart J       Date:  2021-03-01       Impact factor: 29.983

8.  Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk.

Authors:  Jingjing Zhu; Tracy A O'Mara; Duo Liu; Veronica Wendy Setiawan; Dylan Glubb; Amanda B Spurdle; Peter A Fasching; Diether Lambrechts; Daniel Buchanan; Pik Fang Kho; Linda S Cook; Christine Friedenreich; James V Lacey; Chu Chen; Nicolas Wentzensen; Immaculata De Vivo; Yan Sun; Jirong Long; Mengmeng Du; Xiao-Ou Shu; Wei Zheng; Lang Wu; Herbert Yu
Journal:  Cancers (Basel)       Date:  2021-04-26       Impact factor: 6.639

9.  NAT8 Variants, N-Acetylated Amino Acids, and Progression of CKD.

Authors:  Shengyuan Luo; Aditya Surapaneni; Zihe Zheng; Eugene P Rhee; Josef Coresh; Adriana M Hung; Girish N Nadkarni; Bing Yu; Eric Boerwinkle; Adrienne Tin; Dan E Arking; Inga Steinbrenner; Pascal Schlosser; Anna Köttgen; Morgan E Grams
Journal:  Clin J Am Soc Nephrol       Date:  2020-12-31       Impact factor: 8.237

10.  Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals.

Authors:  Kira J Stanzick; Yong Li; Pascal Schlosser; Mathias Gorski; Matthias Wuttke; Laurent F Thomas; Humaira Rasheed; Bryce X Rowan; Sarah E Graham; Brett R Vanderweff; Snehal B Patil; Cassiane Robinson-Cohen; John M Gaziano; Christopher J O'Donnell; Cristen J Willer; Stein Hallan; Bjørn Olav Åsvold; Andre Gessner; Adriana M Hung; Cristian Pattaro; Anna Köttgen; Klaus J Stark; Iris M Heid; Thomas W Winkler
Journal:  Nat Commun       Date:  2021-07-16       Impact factor: 14.919

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