TY  -  
T1  - Comparing the performance of the gene prioritization methods DEPICT and MAGMA on genome-wide association studies of schizophrenia using the Benchmarker framework 
SN  -  /  
UR  - URN:NBN:fi:hulib-202005062017; http://hdl.handle.net/10138/314736 
T3  -  
A1  - Ottensmann, Linda 
A2  -  
PB  - Helsingin yliopisto 
Y1  - 2020 
LA  - eng 
AB  - It is challenging to identify causal genes and pathways explaining the associations with diseases and traits found by genome-wide association studies (GWASs). To solve this problem, a variety of methods that prioritize genes based on the variants identified by GWASs have been developed. In this thesis, the methods Data-driven Expression Prioritized Integration for Complex Traits (DEPICT) and Multi-marker Analysis of GenoMic Annotation (MAGMA) are used to prioritize causal genes based on the most... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - Genome-wide association study; Schizophrenia; Cross-validation; Linkage disequilibrium; Heritability; none; Biostatistics and Bioinformatics; Biostatistics and Bioinformatics; Biostatistics and Bioinformatics; Life Science Informatics -maisteriohjelma; Master's Programme in Life Science Informatics; Magisterprogrammet i Life Science Informatics 
N1  -   
PP  -  
ER  -