Research in CTGlab explores the genetic and environmental causes of individual differences in behavior, cognition and mental and physical health. We integrate knowledge from different fields (biology, genetics, neuroimaging, bioinformatics) and use and develop statistical tools to analyze and understand genomic data for complex traits.
A main challenge in genome-wide association studies (GWAS) is to interpret statistical findings in biological context. Post-GWAS annotation facilitates this task yet currently available tools can be time consuming and do not provide integrated visual aids for data interpretation. PhD student Kyoko Watanabe from the Department Complex Trait Genetics developed FUMA: an integrative web-based platform using information from multiple biological resources to facilitate functional annotation of GWAS results, gene prioritization and interactive visualization. The accompanying paper was published this week in Nature Communications.
An epigenome-wide association study meta-analysis of educational attainment” was published in Molecular Psychiatry October 31, 2017, and it was performed by CTG PhD student Richard Karlsson Linnér.
Philip Jansen, Kyoko Watanabe and Danielle Posthuma from CNCR/CTGlab all received awards this week!