Genetic determinants influencing human serum metabolome among African Americans.

Phenotypes proximal to gene action generally reflect larger genetic effect sizes than those that are distant. The human metabolome, a result of multiple cellular and biological processes, are functional intermediate phenotypes proximal to gene action. Here, we present a genome-wide association study...

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Main Authors: Bing Yu, Yan Zheng, Danny Alexander, Alanna C Morrison, Josef Coresh, Eric Boerwinkle
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-03-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC3952826?pdf=render
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spelling doaj-64343507210b4057a1c34af2e81a13882020-11-24T21:36:54ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042014-03-01103e100421210.1371/journal.pgen.1004212Genetic determinants influencing human serum metabolome among African Americans.Bing YuYan ZhengDanny AlexanderAlanna C MorrisonJosef CoreshEric BoerwinklePhenotypes proximal to gene action generally reflect larger genetic effect sizes than those that are distant. The human metabolome, a result of multiple cellular and biological processes, are functional intermediate phenotypes proximal to gene action. Here, we present a genome-wide association study of 308 untargeted metabolite levels among African Americans from the Atherosclerosis Risk in Communities (ARIC) Study. Nineteen significant common variant-metabolite associations were identified, including 13 novel loci (p<1.6 × 10(-10)). These loci were associated with 7-50% of the difference in metabolite levels per allele, and the variance explained ranged from 4% to 20%. Fourteen genes were identified within the nineteen loci, and four of them contained non-synonymous substitutions in four enzyme-encoding genes (KLKB1, SIAE, CPS1, and NAT8); the other significant loci consist of eight other enzyme-encoding genes (ACE, GATM, ACY3, ACSM2B, THEM4, ADH4, UGT1A, TREH), a transporter gene (SLC6A13) and a polycystin protein gene (PKD2L1). In addition, four potential disease-associated paths were identified, including two direct longitudinal predictive relationships: NAT8 with N-acetylornithine, N-acetyl-1-methylhistidine and incident chronic kidney disease, and TREH with trehalose and incident diabetes. These results highlight the value of using endophenotypes proximal to gene function to discover new insights into biology and disease pathology.http://europepmc.org/articles/PMC3952826?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Bing Yu
Yan Zheng
Danny Alexander
Alanna C Morrison
Josef Coresh
Eric Boerwinkle
spellingShingle Bing Yu
Yan Zheng
Danny Alexander
Alanna C Morrison
Josef Coresh
Eric Boerwinkle
Genetic determinants influencing human serum metabolome among African Americans.
PLoS Genetics
author_facet Bing Yu
Yan Zheng
Danny Alexander
Alanna C Morrison
Josef Coresh
Eric Boerwinkle
author_sort Bing Yu
title Genetic determinants influencing human serum metabolome among African Americans.
title_short Genetic determinants influencing human serum metabolome among African Americans.
title_full Genetic determinants influencing human serum metabolome among African Americans.
title_fullStr Genetic determinants influencing human serum metabolome among African Americans.
title_full_unstemmed Genetic determinants influencing human serum metabolome among African Americans.
title_sort genetic determinants influencing human serum metabolome among african americans.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2014-03-01
description Phenotypes proximal to gene action generally reflect larger genetic effect sizes than those that are distant. The human metabolome, a result of multiple cellular and biological processes, are functional intermediate phenotypes proximal to gene action. Here, we present a genome-wide association study of 308 untargeted metabolite levels among African Americans from the Atherosclerosis Risk in Communities (ARIC) Study. Nineteen significant common variant-metabolite associations were identified, including 13 novel loci (p<1.6 × 10(-10)). These loci were associated with 7-50% of the difference in metabolite levels per allele, and the variance explained ranged from 4% to 20%. Fourteen genes were identified within the nineteen loci, and four of them contained non-synonymous substitutions in four enzyme-encoding genes (KLKB1, SIAE, CPS1, and NAT8); the other significant loci consist of eight other enzyme-encoding genes (ACE, GATM, ACY3, ACSM2B, THEM4, ADH4, UGT1A, TREH), a transporter gene (SLC6A13) and a polycystin protein gene (PKD2L1). In addition, four potential disease-associated paths were identified, including two direct longitudinal predictive relationships: NAT8 with N-acetylornithine, N-acetyl-1-methylhistidine and incident chronic kidney disease, and TREH with trehalose and incident diabetes. These results highlight the value of using endophenotypes proximal to gene function to discover new insights into biology and disease pathology.
url http://europepmc.org/articles/PMC3952826?pdf=render
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