Recent genome-wide association studies (GWAS) with metabolomics data linked genetic variation in the human genome to differences in individual metabolite levels. A strong relevance of this metabolic individuality for biomedical and pharmaceutical research has been reported. However, a considerable amount of the molecules currently quantified by modern metabolomics techniques are chemically unidentified. The identification of these "unknown metabolites" is still a demanding and intricate task, limiting their usability as functional markers of metabolic processes. As a consequence, previous GWAS largely ignored unknown metabolites as metabolic traits for the analysis. Here we present a systems-level approach that combines genome-wid...
ABSTRACT: Genome-wide association studies (GWAS) analyze the genetic component of a phenotype or the...
Garrod’s concept of ‘chemical individuality’ has contributed to comprehension of the molecular origi...
Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotype...
<div><p>Recent genome-wide association studies (GWAS) with metabolomics data linked genetic variatio...
Identification of metabolites in non-targeted metabolomics continues to be a bottleneck in metabolom...
Identification of metabolites in non-targeted metabolomics continues to be a bottleneck in metabolom...
Background: Genome-wide association studies (GWAS) have identified many common single nucleotide pol...
Diverse health challenges such as rising incidence of metabolic disease, rapid aging, and increasing...
Metabolites are intermediate molecules of metabolic processes such as sugars, amino acids, fatty aci...
Abstract In human health research, metabolic signatures extracted from metabolomics data are a stron...
AbstractIncreases in throughput and decreases in costs have facilitated large scale metabolomics stu...
Metabolomics is a rapidly evolving discipline that involves the systematic study of endogenous small...
Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotype...
<p>We combine high-throughput metabolomics and genotyping data in Gaussian graphical models (GGMs) <...
<p>A: Examples of how to determine pathway classifications based on the functional annotations of GG...
ABSTRACT: Genome-wide association studies (GWAS) analyze the genetic component of a phenotype or the...
Garrod’s concept of ‘chemical individuality’ has contributed to comprehension of the molecular origi...
Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotype...
<div><p>Recent genome-wide association studies (GWAS) with metabolomics data linked genetic variatio...
Identification of metabolites in non-targeted metabolomics continues to be a bottleneck in metabolom...
Identification of metabolites in non-targeted metabolomics continues to be a bottleneck in metabolom...
Background: Genome-wide association studies (GWAS) have identified many common single nucleotide pol...
Diverse health challenges such as rising incidence of metabolic disease, rapid aging, and increasing...
Metabolites are intermediate molecules of metabolic processes such as sugars, amino acids, fatty aci...
Abstract In human health research, metabolic signatures extracted from metabolomics data are a stron...
AbstractIncreases in throughput and decreases in costs have facilitated large scale metabolomics stu...
Metabolomics is a rapidly evolving discipline that involves the systematic study of endogenous small...
Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotype...
<p>We combine high-throughput metabolomics and genotyping data in Gaussian graphical models (GGMs) <...
<p>A: Examples of how to determine pathway classifications based on the functional annotations of GG...
ABSTRACT: Genome-wide association studies (GWAS) analyze the genetic component of a phenotype or the...
Garrod’s concept of ‘chemical individuality’ has contributed to comprehension of the molecular origi...
Genome-wide association studies with metabolomics (mGWAS) identify genetically influenced metabotype...