Summary of Study ST000818

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000583. The data can be accessed directly via it's Project DOI: 10.21228/M89M31 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST000818
Study TitleIntegrated nutrigenomic and metabolomic analysis of Africans with variable diet
Study TypeMS analysis
Study SummaryUntargeted metabolic profiling and lipidomics profiling will be used to characterize a broad array of metabolites from plasma in 450 ethnically diverse individuals from Ethiopia, Tanzania, and Botswana with diverse diets. Mass spectrometry will be used to quantify metabolites previously found to be associated with cardiometabolic risk as well as the most informative metabolites from the untargeted screen. We will test for association of selected biomarkers with diet, geography, ancestry, and phenotypic variation. Metabolites obtained will be correlated with diet as well as clinical and anthropometric phenotypes. Using existing tools, we will assemble metabolites that associate with the various phenotypes into pathways and larger networks to provide insights into factors that relate to cardiometabolic health and disease. Finally, we will integrate metabolic and phenotypic data with genetic data from the SNP array and with high coverage whole genome sequence data. We will identify loci that play a role in local adaptation to diverse diets and will identify genetic variants associated with metabolite levels (mQTLs) and with the phenotypic traits listed above.
Institute
University of Michigan
DepartmentBiomedical Research Core Facilities
LaboratoryMetabolomics core
Last NameKachman
First NameMaureen
Address6300 Brehm Tower, 1000 Wall Street, Ann Arbor, MI 48105-5714
Emailmkachman@med.umich.edu
Phone(734) 232-8175
Submit Date2017-07-13
Num Groups43
Total Subjects450
Study CommentsTargeted mass spectrometry will be used to quantify metabolites previously found to be associated with cardiometabolic risk as well as the most informative metabolites from the untargeted screen. We will test for association of selected biomarkers with diet, geography, ancestry, and phenotypic variation. Metabolites obtained will be correlated with diet as well as clinical and anthropometric phenotypes. Using existing tools, we will assemble metabolites that associate with the various phenotypes into pathways and larger networks to provide insights into factors that relate to cardiometabolic health and disease. Finally, we will integrate metabolic and phenotypic data with genetic data from the SNP array and with high coverage whole genome sequence data. We will identify loci that play a role in local adaptation to diverse diets and will identify genetic variants associated with metabolite levels (mQTLs) and with the phenotypic traits listed above.
Raw Data AvailableYes
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2019-09-23
Release Version1
Maureen Kachman Maureen Kachman
https://dx.doi.org/10.21228/M89M31
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP000851
Sampleprep Summary:-
Sampleprep Protocol Filename:A003_-_Untargeted_Metabolomics.pdf
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