The Molecular Human – A Roadmap of Molecular Interactions Linking Multiomics Networks with Disease Endpoints
Year: 2022
Type: preprint
Abstract: In-depth multiomics phenotyping can provide a molecular understanding of complex physiological processes and their pathologies. Here, we report on the application of 18 diverse deep molecular phenotyping (omics-) technologies to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes study QMDiab. We integrated quantitative readouts of 6,304 molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts using between-platform mutual best correlations, within-platform partial correlations, and genome-, epigenome-, transcriptome-, and phenome-wide associations. The achieved molecular network covers over 34,000 statistically significant trait-trait links and illustrates “The Molecular Human”. We describe the variances explained by each omics layer in the phenotypes age, sex, BMI, and diabetes state, platform complementarity, and the inherent correlation structures of multiomics. Finally, we discuss biological aspects of the networks relevant to the molecular basis of complex disorders. We developed a web-based interface to “The Molecular Human”, which is freely accessible at http://comics.metabolomix.com and allows dynamic interaction with the data.
Source: medRxiv
Authors: Anna Halama, Shaza Zaghlool, Gaurav Thareja, Sara Kader, Wadha Al Muftha, Marjonneke Mook-Kanamori, Hina Sarwath, Yasmin Ali Mohamoud, Sabine Ameling, Maja Pucic Baković, Jan Krumsiek, Cornelia Prehn, Jerzy Adamski, Nele Friedrich, Uwe Völker, Manfred Wuhrer, Gordan Lauc, Hani Najafi, Joel A Malek, Johannes Graumann, Dennis Mook-Kanamori, Frank Schmidt, Karsten Suhre
Institutions: Weill Cornell Medical College in Qatar, Weill Cornell Medicine, Qatar Science and Technology Park, Qatar Foundation, Universitätsmedizin Greifswald, Universität Greifswald, German Centre for Cardiovascular Research, Helmholtz Munich, University of Ljubljana, National University of Singapore, Leiden University Medical Center, University of Zagreb, Philipps University of Marburg
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4308071576