Literature DB >> 29602398

Genome-Wide Association Studies of Metabolite Concentrations (mGWAS): Relevance for Nephrology.

Anna Köttgen1, Johannes Raffler2, Peggy Sekula3, Gabi Kastenmüller4.   

Abstract

Metabolites are small molecules that are intermediates or products of metabolism, many of which are freely filtered by the kidneys. In addition, the kidneys have a central role in metabolite anabolism and catabolism, as well as in active metabolite reabsorption and/or secretion during tubular passage. This review article illustrates how the coupling of genomics and metabolomics in genome-wide association analyses of metabolites can be used to illuminate mechanisms underlying human metabolism, with a special focus on insights relevant to nephrology. First, genetic susceptibility loci for reduced kidney function and chronic kidney disease (CKD) were reviewed systematically for their associations with metabolite concentrations in metabolomics studies of blood and urine. Second, kidney function and CKD-associated metabolites reported from observational studies were interrogated for metabolite-associated genetic variants to generate and discuss complementary insights. Finally, insights originating from the simultaneous study of both blood and urine or by modeling intermetabolite relationships are summarized. We also discuss methodologic questions related to the study of metabolite concentrations in urine as well as among CKD patients. In summary, genome-wide association analyses of metabolites using metabolite concentrations quantified from blood and/or urine are a promising avenue of research to illuminate physiological and pathophysiological functions of the kidney.
Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CKD; Genome-wide association studies; filtration; kidney; metabolomics

Mesh:

Year:  2018        PMID: 29602398     DOI: 10.1016/j.semnephrol.2018.01.009

Source DB:  PubMed          Journal:  Semin Nephrol        ISSN: 0270-9295            Impact factor:   5.299


  13 in total

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Review 9.  Modeling epigenetic modifications in renal development and disease with organoids and genome editing.

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10.  The metabolomic quest for a biomarker in chronic kidney disease.

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