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| ====== DEEP/DAG1 ====== | ====== DEEP/DAG1 ====== |
| Lifelines-DEEP, also known as DAG1, is one of [[start|Lifelines]]' [[additional assessments]] performed in collaboration with the UMCG [[https://www.systemsgenetics.nl/|department of genetics]] (see also: [[DAG2]] and [[DAG3]]). DAG is the abbreviation of DArmGezondheid, or "Gastrointestinal health" in Dutch.\\ | Lifelines-DEEP, also known as DAG1, is one of [[start|Lifelines]]' [[additional assessments]] performed in collaboration with the UMCG [[https://www.systemsgenetics.nl/|department of genetics]] (see also: [[DAG2]], [[DAG3]], [[DAG4]] and [[DAG5]]). DAG is the abbreviation of DArmGezondheid, or "Gastrointestinal health" in Dutch, a research project in which the microbiome is analysed in faecal samples.\\ |
| The primary goal of the Lifelines-DEEP project is to get insight in the relations between [[https://en.wikipedia.org/wiki/Genome|genome]], [[https://en.wikipedia.org/wiki/epigenome|epigenome]], [[https://en.wikipedia.org/wiki/Transcriptome|transcriptome]], [[https://en.wikipedia.org/wiki/microbiome|microbiome]], [[https://en.wikipedia.org/wiki/metabolome|metabolome]], and other biological and phenotypic parameters. Lifelines-DEEP is an example of a ‘next- generation’ population cohort study—in which multiple molecular data levels are combined with observational research methods ((Tigchelaar EF et al. (2015) Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics. BMJ Open 5(8): e006772)) | The primary goal of the Lifelines-DEEP project is to get insight in the relations between [[https://en.wikipedia.org/wiki/Genome|genome]], [[https://en.wikipedia.org/wiki/epigenome|epigenome]], [[https://en.wikipedia.org/wiki/Transcriptome|transcriptome]], [[https://en.wikipedia.org/wiki/microbiome|microbiome]], [[https://en.wikipedia.org/wiki/metabolome|metabolome]], and other biological and phenotypic parameters. Lifelines-DEEP is an example of a ‘next- generation’ population cohort study—in which multiple molecular data levels are combined with observational research methods ((Tigchelaar EF et al. (2015) Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics. BMJ Open 5(8): e006772)) |
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| ===== Subcohort ===== | ===== Subcohort ===== |
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| From April to August 2013, all adult participants registered at the Lifelines location in Groningen were invited to participate in Lifelines-DEEP, in addition to the regular Lifelines programme. Inclusion stopped when the target group size of n=~1500 was reached. | From April 2012 to August 2013, all adult participants registered at the Lifelines location in Groningen were invited to participate in Lifelines-DEEP, in addition to the regular Lifelines programme. Inclusion stopped when the target group size of n=~1500 was reached. |
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| ===== Protocol ===== | ===== Protocol ===== |
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| ===== Data availability ===== | ===== Data availability ===== |
| ^ Type ^ N ^ Available? ^ | ^ Type ^ N ^ Available? ^ |
| | Genomics | +/- 1400 | Yes | | | Genomics (cytosnp) | +/- 1400 | Yes | |
| | Methylation | +/- 700 | Yes | | | Methylation | +/- 800 | Yes | |
| | RNAseq | +/- 50 | Yes | | | RNAseq | +/- 1300 | Yes | |
| | MGS | +/- 1200 | Yes | | | MGS | +/- 1200 | Yes* | |
| | 16S | +/- 1000 | Yes | | | 16S | +/- 1000 | Yes* | |
| | Metabolomics | - | No | | | Metabolomics | +/- 1400 | Yes | |
| | Proteomics | - | No | | | Cytokines | +/- 1100 | Yes | |
| | | Proteomics | +/- 1100 | Yes | |
| | | WES | +/- 1000 | Yes | |
| | *Raw data is available; the processed data is not available yet |
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| ===== Genomics ===== | ===== Genomics ===== |
