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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: [[DEEP|DAG1]], [[DAG2]], [[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.\\ | + | 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)) | ||
deep.1732547436.txt.gz · Last modified: 2025/02/05 14:49 (external edit)
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