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A workflow for UPLC-MS non-targeted metabolomic profiling in large human population-based studies

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Insulin Resistance and Risk of Congestive Heart Failure

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MassBank: a public repository for sharing mass spectral data for life sciences

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UPLC/MS E ; a new approach for generating molecular fragment information for biomarker structure elucidation

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Proposed minimum reporting standards for chemical analysis

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Assigning precursor–product ion relationships in indiscriminant MS/MS data from non-targeted metabolite profiling studies

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Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics

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Targeted metabolomics and mass spectrometry

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Baseline metabolomic profiles predict cardiovascular events in patients at risk for coronary artery disease

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Statistical design and the analysis of gene expression microarray data

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Statistical design and the analysis of gene expression microarray data

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The Swedish Twin Registry: Establishment of a Biobank and Other Recent Developments

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XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification

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Chromatographic Alignment of ESI-LC-MS Proteomics Data Sets by Ordered Bijective Interpolated Warping

inferredcites →https://doi.org/10.1021/ac101216eopenalex-snapshot

Evaluation of Peak Picking Quality in LC−MS Metabolomics Data

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PeakML/mzMatch: A File Format, Java Library, R Library, and Tool-Chain for Mass Spectrometry Data Analysis

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CAMERA: An Integrated Strategy for Compound Spectra Extraction and Annotation of Liquid Chromatography/Mass Spectrometry Data Sets

inferredcites →https://doi.org/10.1021/ac300698copenalex-snapshot

XCMS Online: A Web-Based Platform to Process Untargeted Metabolomic Data

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Cross-Platform Comparison of Methods for Quantitative Metabolomics of Primary Metabolism

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MetAlign: Interface-Driven, Versatile Metabolomics Tool for Hyphenated Full-Scan Mass Spectrometry Data Preprocessing

inferredcites →https://doi.org/10.1038/msb.2012.43openalex-snapshot

Novel biomarkers for pre‐diabetes identified by metabolomics

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Cancer-associated IDH1 mutations produce 2-hydroxyglutarate

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Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease

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Human metabolic individuality in biomedical and pharmaceutical research

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A community-driven global reconstruction of human metabolism

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Metabolomics implicates altered sphingolipids in chronic pain of neuropathic origin

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Genome-wide association study identifies multiple loci influencing human serum metabolite levels

inferredcites →https://doi.org/10.1038/nm.2307openalex-snapshot

Metabolite profiles and the risk of developing diabetes

inferredcites →https://doi.org/10.1038/nprot.2011.335openalex-snapshot

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry

inferredcites →https://doi.org/10.1038/nprot.2011.454openalex-snapshot

Meta-analysis of untargeted metabolomic data from multiple profiling experiments

inferredcites →https://doi.org/10.1038/nprot.2012.135openalex-snapshot

Global metabolic profiling of animal and human tissues via UPLC-MS

inferredcites →https://doi.org/10.1038/nprot.2013.004openalex-snapshot

Liquid chromatography quadrupole time-of-flight mass spectrometry characterization of metabolites guided by the METLIN database

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Tackling the widespread and critical impact of batch effects in high-throughput data

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Genetic variation in metabolic phenotypes: study designs and applications

inferredcites →https://doi.org/10.1038/nrm3314openalex-snapshot

Metabolomics: the apogee of the omics trilogy

inferredcites →https://doi.org/10.1046/j.1365-2796.2002.01032.xopenalex-snapshot

The Swedish Twin Registry: a unique resource for clinical, epidemiological and genetic studies

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Risk Prediction Measures for Case-Cohort and Nested Case-Control Designs: An Application to Cardiovascular Disease

inferredcites →https://doi.org/10.1093/aje/kwu143openalex-snapshot

Design and Analysis of Metabolomics Studies in Epidemiologic Research: A Primer on -Omic Technologies

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Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies

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Estimation of false discovery proportion under general dependence

inferredcites →https://doi.org/10.1093/biostatistics/2.2.183openalex-snapshot

Experimental design for gene expression microarrays

inferredcites →https://doi.org/10.1093/ije/dyt094openalex-snapshot

Metabolomic markers reveal novel pathways of ageing and early development in human populations

inferredcites →https://doi.org/10.1093/nar/gks1065openalex-snapshot

HMDB 3.0—The Human Metabolome Database in 2013

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A Comparison of Three Different Methods to Evaluate Endothelium-Dependent Vasodilation in the Elderly

inferredcites →https://doi.org/10.1161/circgenetics.109.852814openalex-snapshot

Association of a Peripheral Blood Metabolic Profile With Coronary Artery Disease and Risk of Subsequent Cardiovascular Events

inferredcites →https://doi.org/10.1161/circulationaha.105.569137openalex-snapshot

Metabolomic Identification of Novel Biomarkers of Myocardial Ischemia

inferredcites →https://doi.org/10.1161/circulationaha.111.067827openalex-snapshot

Metabolite Profiling Identifies Pathways Associated With Metabolic Risk in Humans

inferredcites →https://doi.org/10.1161/circulationaha.113.002500openalex-snapshot

Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study

inferredcites →https://doi.org/10.1161/circulationaha.114.013116openalex-snapshot

Metabolite Profiling and Cardiovascular Event Risk

inferredcites →https://doi.org/10.1186/1471-2105-11-395openalex-snapshot

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

inferredcites →https://doi.org/10.1186/1471-2105-8-93openalex-snapshot

Normalization method for metabolomics data using optimal selection of multiple internal standards

inferredcites →https://doi.org/10.1186/1471-2105-9-504openalex-snapshot

Highly sensitive feature detection for high resolution LC/MS

inferredcites →https://doi.org/10.1371/journal.pgen.1000282openalex-snapshot

Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum

inferredcites →https://doi.org/10.1371/journal.pgen.1004801openalex-snapshot

Large-scale Metabolomic Profiling Identifies Novel Biomarkers for Incident Coronary Heart Disease

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Mendelian Randomisation and Causal Inference in Observational Epidemiology

inferredcites →https://doi.org/10.1373/clinchem.2012.199257openalex-snapshot

Preanalytical Aspects and Sample Quality Assessment in Metabolomics Studies of Human Blood

inferredcites →https://doi.org/10.2116/analsci.28.801openalex-snapshot

Quantile Normalization Approach for Liquid Chromatography— Mass Spectrometry-based Metabolomic Data from Healthy Human Volunteers

inferredcites →https://doi.org/10.2337/db12-0495openalex-snapshot

Identification of Serum Metabolites Associated With Risk of Type 2 Diabetes Using a Targeted Metabolomic Approach

inferredcites →https://doi.org/10.2337/db13-0570openalex-snapshot

Biomarkers for Type 2 Diabetes and Impaired Fasting Glucose Using a Nontargeted Metabolomics Approach

inferredcites →https://doi.org/10.3791/50242openalex-snapshot

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11306-019-1612-4openalex-snapshot

A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification

inferred← citeshttps://doi.org/10.1021/acs.jproteome.5b00344openalex-snapshot

Effects of Sample Size and Dimensionality on the Performance of Four Algorithms for Inference of Association Networks in Metabonomics

inferred← citeshttps://doi.org/10.1038/s41570-017-0054openalex-snapshot

Global chemical analysis of biology by mass spectrometry

inferred← citeshttps://doi.org/10.1093/bib/bbu033openalex-snapshot

Rediscovery rate estimation for assessing the validation of significant findings in high-throughput studies

inferred← citeshttps://doi.org/10.1371/journal.pgen.1004801openalex-snapshot

Large-scale Metabolomic Profiling Identifies Novel Biomarkers for Incident Coronary Heart Disease

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