Skip to main navigation
Skip to search
Skip to main content
HvA Research Database Home
Help & FAQ
Link opens in a new tab
Search content at HvA Research Database
Home
Profiles
Research units
Research output
Activities
Press/Media
Prizes
Datasets
Projects
Multivariate genome-wide analyses of the well-being spectrum
Bart M.L. Baselmans
, Rick Jansen
, Hill F. Ip
, Abdel Abellaoui
, Margot P. van de Weijer
, Yanchun Bao
, Melissa Smart
, Meena Kuni
, Gonneke Willemsen
, Jouke-jan Hottenga
, Dorret I. Boomsma
, Michel G. Nivard
, Meike Bartels
, Jenny van Dongen
, Eco J.C. de Geus
Faculty of Technology (FT)
Research output
:
Contribution to journal
›
Article
›
Academic
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Multivariate genome-wide analyses of the well-being spectrum'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Genome-wide Analysis
100%
Well-being Spectrum
100%
Genome-wide Association Analysis
66%
Multivariate Methods
66%
Depressive Symptoms
33%
Positive Affect
33%
Differentially Expressed
33%
Gene Expression
33%
Life Satisfaction
33%
Predictive Power
33%
GABAergic Interneurons
33%
Transcriptome-wide
33%
Polygenic Risk Score
33%
Neuroticism
33%
Related Traits
33%
Brain Cells
33%
Brain Tissue
33%
Bioinformatics Analysis
33%
Subiculum
33%
Methylome-wide
33%
Sample Overlap
33%
Simulation Scenarios
33%
Biochemistry, Genetics and Molecular Biology
Wellbeing
100%
Genome Wide Association Study
100%
Interneuron
33%
Methylome
33%
Gene Expression
33%
Polygenic Score
33%
Bioinformatics
33%
Differentially Expressed Gene
33%
Transcriptome
33%