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A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_711d016111244d3c97a32572e4aba254

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

About this item

Full title

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2024-08, Vol.15 (1), p.7111-23, Article 7111

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays “The Molecular Human”. We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to “The Molecular Human” (
http://comics.metabolomix.com
), providing interactive data exploration and hypotheses generation possibilities.
Multiomic phenotyping provides molecular insights into complex physiological processes and pathologies. The study uses 18 omics platforms to analyze biofluids from 391 participants. It constructs a comprehensive molecular network based on omics integration...

Alternative Titles

Full title

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_711d016111244d3c97a32572e4aba254

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_711d016111244d3c97a32572e4aba254

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-024-51134-x

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