Gene Set Analyses of Genome-Wide Association Studies on 49 Quantitative Traits Measured in a Single Genetic Epidemiology Dataset
Gene set analysis is a powerful tool for interpreting a genome-wide association study result and is gaining popularity these days. Comparison of the gene sets obtained for a variety of traits measured from a single genetic epidemiology dataset may give insights into the biological mechanisms underly...
Main Authors: | Jihye Kim, Ji-sun Kwon, Sangsoo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Korea Genome Organization
2013-09-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gni-11-135.pdf |
Similar Items
-
The Complex Genetic Architecture of Early Root and Shoot Traits in Flax Revealed by Genome-Wide Association Analyses
by: Demissew Sertse, et al.
Published: (2019-11-01) -
Genome-wide analyses using multi-locus models revealed marker-trait associations for major agronomic traits in Sorghum bicolor
by: Muluken Enyew, et al.
Published: (2022-10-01) -
Genome-wide association study to reveal new candidate genes using single-step approaches for productive traits of Yorkshire pig in Korea
by: Jun Park
Published: (2024-03-01) -
Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS
by: Ji-sun Kwon, et al.
Published: (2012-06-01) -
Measure of compactness for analyse dataset
by: Mukhammadiev Ravshan, et al.
Published: (2023-01-01)