Calculating Genetic Correlations Between Diseases Using LD-Score Regression
Name
Kermo Saarse
Abstract
Genetic correlation is a measure which estimates a common genetic cause for two or more diseases. In this thesis, data from Estonian BioBank is used as input to LD-score regression method, which allows to calculate genetic correlations using data from genome wide association studies. It turned out that a large part of the data was not suitable for the method and very few of the successfully calculated results were statistically significant. When genetic correlations were compared to relative risk, a positive correlation was detected. The main lesson from this thesis is that larger sample sizes must be used for similar studies in the future.
Graduation Thesis language
Estonian
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Kaur Alasoo, Jaanika Kronberg
Defence year
2021