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deep [2020/05/20 17:18] trynke |
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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, and is a field of research that analyses the microbiome in [[faecal samples]].\\ | + | 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, 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)) | ||
| ===== Subcohort ===== | ===== Subcohort ===== | ||
| - | 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. |
| ===== 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 | ||
| ===== Genomics ===== | ===== Genomics ===== | ||
deep.1589987887.txt.gz · Last modified: 2020/05/20 17:18 by trynke
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