Literature DB >> 33838163

Genome-wide association study of serum metabolites in the African American Study of Kidney Disease and Hypertension.

Shengyuan Luo1, Elena V Feofanova2, Adrienne Tin3, Sarah Tung4, Eugene P Rhee5, Josef Coresh6, Dan E Arking7, Aditya Surapaneni3, Pascal Schlosser8, Yong Li8, Anna Köttgen9, Bing Yu2, Morgan E Grams10.   

Abstract

The genome-wide association study (GWAS) is a powerful means to study genetic determinants of disease traits and generate insights into disease pathophysiology. To date, few GWAS of circulating metabolite levels have been performed in African Americans with chronic kidney disease. Hypothesizing that novel genetic-metabolite associations may be identified in a unique population of African Americans with a lower glomerular filtration rate (GFR), we conducted a GWAS of 652 serum metabolites in 619 participants (mean measured glomerular filtration rate 45 mL/min/1.73m2) in the African American Study of Kidney Disease and Hypertension, a clinical trial of blood pressure lowering and antihypertensive medication in African Americans with chronic kidney disease. We identified 42 significant variant metabolite associations. Twenty associations had been previously identified in published GWAS, and eleven novel associations were replicated in a separate cohort of 818 African Americans with genetic and metabolomic data from the Atherosclerosis Risk in Communities Study. The replicated novel variant-metabolite associations comprised eight metabolites and eleven distinct genomic loci. Nine of the replicated associations represented clear enzyme-metabolite interactions, with high expression in the kidneys as well as the liver. Three loci (ACY1, ACY3, and NAT8) were associated with a common pool of metabolites, acetylated amino acids, but with different individual affinities. Thus, extensive metabolite profiling in an African American population with chronic kidney disease aided identification of novel genome-wide metabolite associations, providing clues about substrate specificity and the key roles of enzymes in modulating systemic levels of metabolites.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  African American Study of Kidney Disease and Hypertension; African Americans; Atherosclerosis Risk in Communities Study; chronic kidney disease; genome-wide association study; metabolites

Mesh:

Year:  2021        PMID: 33838163      PMCID: PMC8583323          DOI: 10.1016/j.kint.2021.03.026

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   18.998


  35 in total

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2.  Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems.

Authors:  Anne M Evans; Corey D DeHaven; Tom Barrett; Matt Mitchell; Eric Milgram
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Review 3.  African genetic diversity: implications for human demographic history, modern human origins, and complex disease mapping.

Authors:  Michael C Campbell; Sarah A Tishkoff
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4.  Serum Metabolomic Alterations Associated with Proteinuria in CKD.

Authors:  Shengyuan Luo; Josef Coresh; Adrienne Tin; Casey M Rebholz; Lawrence J Appel; Jingsha Chen; Ramachandran S Vasan; Amanda H Anderson; Harold I Feldman; Paul L Kimmel; Sushrut S Waikar; Anna Köttgen; Anne M Evans; Andrew S Levey; Lesley A Inker; Mark J Sarnak; Morgan Erika Grams
Journal:  Clin J Am Soc Nephrol       Date:  2019-02-07       Impact factor: 8.237

5.  N-acetylamino acid utilization by kidney aminoacylase-1.

Authors:  Holger A Lindner; Margot Täfler-Naumann; Klaus-Heinrich Röhm
Journal:  Biochimie       Date:  2008-01-05       Impact factor: 4.079

Review 6.  Genome-Wide Association Studies of Metabolite Concentrations (mGWAS): Relevance for Nephrology.

Authors:  Anna Köttgen; Johannes Raffler; Peggy Sekula; Gabi Kastenmüller
Journal:  Semin Nephrol       Date:  2018-03       Impact factor: 5.299

7.  A genome-wide perspective of genetic variation in human metabolism.

Authors:  Thomas Illig; Christian Gieger; Guangju Zhai; Werner Römisch-Margl; Rui Wang-Sattler; Cornelia Prehn; Elisabeth Altmaier; Gabi Kastenmüller; Bernet S Kato; Hans-Werner Mewes; Thomas Meitinger; Martin Hrabé de Angelis; Florian Kronenberg; Nicole Soranzo; H-Erich Wichmann; Tim D Spector; Jerzy Adamski; Karsten Suhre
Journal:  Nat Genet       Date:  2009-12-27       Impact factor: 38.330

8.  Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels.

Authors:  Harmen H M Draisma; René Pool; Michael Kobl; Rick Jansen; Ann-Kristin Petersen; Anika A M Vaarhorst; Idil Yet; Toomas Haller; Ayşe Demirkan; Tõnu Esko; Gu Zhu; Stefan Böhringer; Marian Beekman; Jan Bert van Klinken; Werner Römisch-Margl; Cornelia Prehn; Jerzy Adamski; Anton J M de Craen; Elisabeth M van Leeuwen; Najaf Amin; Harish Dharuri; Harm-Jan Westra; Lude Franke; Eco J C de Geus; Jouke Jan Hottenga; Gonneke Willemsen; Anjali K Henders; Grant W Montgomery; Dale R Nyholt; John B Whitfield; Brenda W Penninx; Tim D Spector; Andres Metspalu; P Eline Slagboom; Ko Willems van Dijk; Peter A C 't Hoen; Konstantin Strauch; Nicholas G Martin; Gert-Jan B van Ommen; Thomas Illig; Jordana T Bell; Massimo Mangino; Karsten Suhre; Mark I McCarthy; Christian Gieger; Aaron Isaacs; Cornelia M van Duijn; Dorret I Boomsma
Journal:  Nat Commun       Date:  2015-06-12       Impact factor: 14.919

9.  Whole genome sequence analysis of serum amino acid levels.

Authors:  Bing Yu; Paul S de Vries; Ginger A Metcalf; Zhe Wang; Elena V Feofanova; Xiaoming Liu; Donna Marie Muzny; Lynne E Wagenknecht; Richard A Gibbs; Alanna C Morrison; Eric Boerwinkle
Journal:  Genome Biol       Date:  2016-11-24       Impact factor: 13.583

10.  Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population.

Authors:  Noha A Yousri; Khalid A Fakhro; Amal Robay; Juan L Rodriguez-Flores; Robert P Mohney; Hassina Zeriri; Tala Odeh; Sara Abdul Kader; Eman K Aldous; Gaurav Thareja; Manish Kumar; Alya Al-Shakaki; Omar M Chidiac; Yasmin A Mohamoud; Jason G Mezey; Joel A Malek; Ronald G Crystal; Karsten Suhre
Journal:  Nat Commun       Date:  2018-01-23       Impact factor: 14.919

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  5 in total

1.  Trans-ethnic genome-wide association study of blood metabolites in the Chronic Renal Insufficiency Cohort (CRIC) study.

Authors:  Eugene P Rhee; Aditya Surapaneni; Zihe Zheng; Linda Zhou; Diptavo Dutta; Dan E Arking; Jingning Zhang; ThuyVy Duong; Nilanjan Chatterjee; Shengyuan Luo; Pascal Schlosser; Rupal Mehta; Sushrut S Waikar; Santosh L Saraf; Tanika N Kelly; Lee L Hamm; Panduranga S Rao; Anna V Mathew; Chi-Yuan Hsu; Afshin Parsa; Ramachandran S Vasan; Paul L Kimmel; Clary B Clish; Josef Coresh; Harold I Feldman; Morgan E Grams
Journal:  Kidney Int       Date:  2022-02-01       Impact factor: 10.612

2.  Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Authors:  Arthur M Lee; Jian Hu; Yunwen Xu; Alison G Abraham; Rui Xiao; Josef Coresh; Casey Rebholz; Jingsha Chen; Eugene P Rhee; Harold I Feldman; Vasan S Ramachandran; Paul L Kimmel; Bradley A Warady; Susan L Furth; Michelle R Denburg
Journal:  J Am Soc Nephrol       Date:  2022-01-11       Impact factor: 14.978

3.  Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites.

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Review 4.  New and Emerging Research on Solute Carrier and ATP Binding Cassette Transporters in Drug Discovery and Development: Outlook From the International Transporter Consortium.

Authors:  Kathleen M Giacomini; Sook W Yee; Megan L Koleske; Ling Zou; Pär Matsson; Eugene C Chen; Deanna L Kroetz; Miles A Miller; Elnaz Gozalpour; Xiaoyan Chu
Journal:  Clin Pharmacol Ther       Date:  2022-05-20       Impact factor: 6.903

5.  Crosstalk between Host Genome and Metabolome among People with HIV in South Africa.

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Journal:  Metabolites       Date:  2022-07-06
  5 in total

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