Study
Integration of metabolomics, genomics and immune phenotypes reveals the causal roles of metabolites in disease
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001005348 | Population Genomics |
Study Description
Study Datasets 5 datasets.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00010002146 |
metabolite levels provided by UM platform (Creative Dynamics Inc, NY, USA) (the data is raw abundance. Mapping was applied on log10 transformed data)
|
482 | |
| EGAD00010002147 |
covarites phenotypes, including gender (1=Female/0=Male), age and contraceptive
|
482 | |
| EGAD00010002148 |
metabolite levels measured by general metabolomics (Boston, USA) (the data is raw abundance. Mapping was applied on log10 transformed data)
|
flow-injection TOF-M spectrometry. | 482 |
| EGAD00010002149 |
Genotype data from healthy Dutch individuals measured by Illumina humanOmniExpress Exome-8v1.0 SNP chip Calling by Opticall 7.0
|
Illumina humanOmniExpress Exome-8v1.0 SNP chip | 482 |
| EGAD00010002150 |
metabolite levels measured by Brainshake Metabolomics/Nightingale Health metabolic platform (log2)
|
Nightingale's technology | 482 |
Who archives the data?
Publications
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