In this reference study, blood samples of 125 healthy individuals were analyzed with a wide range of -omics technologies, resulting in the most comprehensive -omics 
profiling data set that is publicly available. The molecular measurements that are available here, can be used as reference values for any future (multi-)omics studyies. Along with phenotypic information (Sex, Age, BMI etc. and measured cell types levels) on the healthy subjects, the following data types are included:

• Targeted metabolomics (acylcarnitines, amino acids and very long chain fatty acids)
• Lipidomics 
• Proteomics
• mRNA-seq
• miRNA-seq
• miRNA qRT-PCR
• Enzymation Methylation sequencing

The pre-processed mult-omics data can be accessed here in the shape of a MultiAssayExperiment object (Ramos et al. 2017). Instructions on how to read the object into R can be found here: Read_MultiAssayExperiment. Use the files 'mae_experiments.h5' and 'mae_mae.rds' for this.

In addition, a similar object for Python (MuData) including the same omics data has been included. Documentation on how to read this file can be found here: mudata.readthedocs.io. Use the file 'EATRIS-PLUS_MuData.h5mu' for this.

DATA AVAILABILITY STATEMENT:

Full data related to the EATRIS-Plus multiomic cohort are available in the ClinData repository (https://clindata.imtm.cz) and include full phenotypic information, physical and laboratory examinations, multiomic data from white blood cells (whole genome sequencing, enzymatic methylation DNA sequencing, mRNA sequencing, miRNA sequencing) or plasma (miRNA qPCR profiling, proteomics, targeted metabolomics, untargeted lipidomics, Raman spectroscopy profiling). However, access is restricted due to legal, ethical, scientific and/or commercial reasons. Access to the data is subject to approval and a data sharing transfer agreement. For data access please contact data.access@imtm.cz. 

METADATA

This data set has been described with experimental metadata following the ISA-format, through the FAIR Data Station. The filled ISA template and linked data file (.ttl) can be downloaded here. This data set has also been made Findable on the Radboudumc FAIR Data Point: fdp.radboudumc.nl