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Updated: May 23, 2026
14:18
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Published on: May 27, 2014
Back to the future: from genome to metabolome
Joseph V Thakuria1, Alexander W Zaranek, George M Church
1Department of Genetics, Harvard Medical School, Boston, MA 02114, USA. jthakuria@genetics.med.harvard.edu
Human Mutation
|March 21, 2012
Summary
Genomic data can now guide metabolic disorder diagnosis by analyzing biochemical analytes and phenotypes. This approach aids in identifying subclinical disease states and rare genetic variants for personalized metabolic care.
Area of Science:
- Genetics
- Metabolomics
- Biochemistry
Background:
- Traditional medical genetics relies on single gene testing for metabolic disorders.
- Recent advancements allow using whole genome/exome data to guide biochemical analysis.
- Genomic data can reveal milder disease manifestations and guide phenotyping.
Purpose of the Study:
- To explore the utility of integrating genomic data with metabolomic phenotyping.
- To identify subclinical and preclinical metabolic disease states.
- To investigate rare genetic variants with predicted pathogenicity.
Main Methods:
- Whole genome/exome sequencing of participants in the Personal Genome Project.
- Metabolomic phenotyping to analyze biochemical analytes and substrate ratios.
- Focus on 88 genes linked to 68 metabolic disturbances with known therapies.
Main Results:
- Demonstrated the feasibility of a genomics-first approach to metabolic disorder investigation.
- Identified potential subclinical disease states in carriers of pathogenic mutations.
- Highlighted the value of integrating multi-omics data for comprehensive phenotyping.
Conclusions:
- Integrating genomic and metabolomic data offers a powerful new paradigm for metabolic disorder diagnosis and management.
- This approach can uncover milder or preclinical disease states, enabling earlier intervention.
- Personalized medicine can be advanced by leveraging individual genomic profiles for targeted metabolic health assessments.
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