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
About this item
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Author / Creator
Halama, Anna , Zaghlool, Shaza , Thareja, Gaurav , Kader, Sara , Al Muftah, Wadha , Mook-Kanamori, Marjonneke , Sarwath, Hina , Mohamoud, Yasmin Ali , Stephan, Nisha , Ameling, Sabine , Pucic Baković, Maja , Krumsiek, Jan , Prehn, Cornelia , Adamski, Jerzy , Schwenk, Jochen M. , Friedrich, Nele , Völker, Uwe , Wuhrer, Manfred , Lauc, Gordan , Najafi-Shoushtari, S. Hani , Malek, Joel A. , Graumann, Johannes , Mook-Kanamori, Dennis , Schmidt, Frank and Suhre, Karsten
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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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
Authors, Artists and Contributors
Author / Creator
Zaghlool, Shaza
Thareja, Gaurav
Kader, Sara
Al Muftah, Wadha
Mook-Kanamori, Marjonneke
Sarwath, Hina
Mohamoud, Yasmin Ali
Stephan, Nisha
Ameling, Sabine
Pucic Baković, Maja
Krumsiek, Jan
Prehn, Cornelia
Adamski, Jerzy
Schwenk, Jochen M.
Friedrich, Nele
Völker, Uwe
Wuhrer, Manfred
Lauc, Gordan
Najafi-Shoushtari, S. Hani
Malek, Joel A.
Graumann, Johannes
Mook-Kanamori, Dennis
Schmidt, Frank
Suhre, Karsten
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