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

被引:21
作者
Luo, Shengyuan [1 ,2 ]
Feofanova, Elena, V [3 ]
Tin, Adrienne [1 ,2 ]
Tung, Sarah [4 ]
Rhee, Eugene P. [5 ,6 ]
Coresh, Josef [1 ]
Arking, Dan E. [7 ]
Surapaneni, Aditya [1 ,2 ]
Schlosser, Pascal [8 ,9 ]
Li, Yong [8 ,9 ]
Kottgen, Anna [1 ,8 ,9 ]
Yu, Bing [3 ]
Grams, Morgan E. [1 ,2 ,10 ]
机构
[1] Johns Hopkins Univ, Dept Epidemiol, Bloomberg Sch Publ Hlth, Baltimore, MD 21205 USA
[2] Johns Hopkins Univ, Welch Ctr Prevent Epidemiol & Clin Res, 2024 E Monument,Suite 2-500, Baltimore, MD 21205 USA
[3] Univ Texas Hlth Sci Ctr Houston, Human Genet Ctr, Houston, TX 77030 USA
[4] Johns Hopkins Whiting Sch Engn, Baltimore, MD USA
[5] Massachusetts Gen Hosp, Div Nephrol, Boston, MA 02114 USA
[6] Harvard Med Sch, Boston, MA 02115 USA
[7] Johns Hopkins Univ, Sch Med, Dept Genet Med, McKusick Nathans Inst, Baltimore, MD 21205 USA
[8] Univ Freiburg, Inst Genet Epidemiol, Fac Med, Freiburg, Germany
[9] Univ Freiburg, Med Ctr, Freiburg, Germany
[10] Johns Hopkins Univ, Dept Med, Div Nephrol, Baltimore, MD 21205 USA
基金
美国国家卫生研究院;
关键词
African Americans; African American Study of Kidney Disease and Hypertension; Atherosclerosis Risk in Communities Study; chronic kid-ney disease; genome-wide association study; metabolites; ATHEROSCLEROSIS RISK; GENETIC-VARIATION; DESIGN;
D O I
10.1016/j.kint.2021.03.026
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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/1.73m(2)) 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 enzy-memetabolite 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.
引用
收藏
页码:430 / 439
页数:10
相关论文
共 35 条
  • [1] SNiPA: an interactive, genetic variant-centered annotation browser
    Arnold, Matthias
    Raffler, Johannes
    Pfeufer, Arne
    Suhre, Karsten
    Kastenmueller, Gabi
    [J]. BIOINFORMATICS, 2015, 31 (08) : 1334 - 1336
  • [2] African genetic diversity: Implications for human demographic history, modern human origins, and complex disease mapping
    Campbell, Michael C.
    Tishkoff, Sarah A.
    [J]. ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2008, 9 : 403 - 433
  • [3] Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels
    Draisma, Harmen H. M.
    Pool, Rene
    Kobl, Michael
    Jansen, Rick
    Petersen, Ann-Kristin
    Vaarhorst, Anika A. M.
    Yet, Idil
    Haller, Toomas
    Demirkan, Ayse
    Esko, Tonu
    Zhu, Gu
    Boehringer, Stefan
    Beekman, Marian
    van Klinken, Jan Bert
    Roemisch-Margl, Werner
    Prehn, Cornelia
    Adamski, Jerzy
    de Craen, Anton J. M.
    van Leeuwen, Elisabeth M.
    Amin, Najaf
    Dharuri, Harish
    Westra, Harm-Jan
    Franke, Lude
    de Geus, Eco J. C.
    Hottenga, Jouke Jan
    Willemsen, Gonneke
    Henders, Anjali K.
    Montgomery, Grant W.
    Nyholt, Dale R.
    Whitfield, John B.
    Penninx, Brenda W.
    Spector, Tim D.
    Metspalu, Andres
    Slagboom, P. Eline
    van Dijk, Ko Willems
    't Hoen, Peter A. C.
    Strauch, Konstantin
    Martin, Nicholas G.
    van Ommen, Gert-Jan B.
    Illig, Thomas
    Bell, Jordana T.
    Mangino, Massimo
    Suhre, Karsten
    McCarthy, Mark I.
    Gieger, Christian
    Isaacs, Aaron
    van Duijn, Cornelia M.
    Boomsma, Dorret I.
    [J]. NATURE COMMUNICATIONS, 2015, 6
  • [4] 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
    Evans, Anne M.
    DeHaven, Corey D.
    Barrett, Tom
    Mitchell, Matt
    Milgram, Eric
    [J]. ANALYTICAL CHEMISTRY, 2009, 81 (16) : 6656 - 6667
  • [5] GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data
    Fuchsberger, Christian
    Taliun, Daniel
    Pramstaller, Peter P.
    Pattaro, Cristian
    [J]. BIOINFORMATICS, 2012, 28 (03) : 444 - 445
  • [6] Design and statistical aspects of the African American Study of Kidney Disease and Hypertension (AASK)
    Gassman, JJ
    Greene, T
    Wright, JT
    Agodoa, L
    Bakris, G
    Beck, GJ
    Douglas, J
    Jamerson, K
    Lewis, J
    Kutner, M
    Randall, OS
    Wang, SR
    [J]. JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2003, 14 (07): : S154 - S165
  • [7] Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum
    Gieger, Christian
    Geistlinger, Ludwig
    Altmaier, Elisabeth
    de Angelis, Martin Hrabe
    Kronenberg, Florian
    Meitinger, Thomas
    Mewes, Hans-Werner
    Wichmann, H. -Erich
    Weinberger, Klaus M.
    Adamski, Jerzy
    Illig, Thomas
    Suhre, Karsten
    [J]. PLOS GENETICS, 2008, 4 (11)
  • [8] A Genome-Wide Assessment of Variability in Human Serum Metabolism
    Hong, Mun-Gwan
    Karlsson, Robert
    Magnusson, Patrik K. E.
    Lewis, Matthew R.
    Isaacs, William
    Zheng, Lilly S.
    Xu, Jianfeng
    Gronberg, Henrik
    Ingelsson, Erik
    Pawitan, Yudi
    Broeckling, Corey
    Prenni, Jessica E.
    Wiklund, Fredrik
    Prince, Jonathan A.
    [J]. HUMAN MUTATION, 2013, 34 (03) : 515 - 524
  • [9] A genome-wide perspective of genetic variation in human metabolism
    Illig, Thomas
    Gieger, Christian
    Zhai, Guangju
    Roemisch-Margl, Werner
    Wang-Sattler, Rui
    Prehn, Cornelia
    Altmaier, Elisabeth
    Kastenmueller, Gabi
    Kato, Bernet S.
    Mewes, Hans-Werner
    Meitinger, Thomas
    de Angelis, Martin Hrabe
    Kronenberg, Florian
    Soranzo, Nicole
    Wichmann, H-Erich
    Spector, Tim D.
    Adamski, Jerzy
    Suhre, Karsten
    [J]. NATURE GENETICS, 2010, 42 (02) : 137 - U66
  • [10] Genome-Wide Association Studies of Metabolite Concentrations (mGWAS): Relevance for Nephrology
    Koettgen, Anna
    Raffler, Johannes
    Sekula, Peggy
    Kastenmueller, Gabi
    [J]. SEMINARS IN NEPHROLOGY, 2018, 38 (02) : 151 - 174