Cargando…
A set-based association test identifies sex-specific gene sets associated with type 2 diabetes
Single variant analysis in genome-wide association studies (GWAS) has been proven to be successful in identifying thousands of genetic variants associated with hundreds of complex diseases. However, these identified variants only explain a small fraction of inheritable variability in many diseases,...
Autores principales: | He, Tao, Zhong, Ping-Shou, Cui, Yuehua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228910/ https://www.ncbi.nlm.nih.gov/pubmed/25429300 http://dx.doi.org/10.3389/fgene.2014.00395 |
Ejemplares similares
-
Cell Type-Specific Predictive Models Perform Prioritization of Genes and Gene Sets Associated With Autism
por: Guan, Jinting, et al.
Publicado: (2021) -
Genome-Wide Gene-Environment Interaction Analysis Using Set-Based Association Tests
por: Lin, Wan-Yu, et al.
Publicado: (2019) -
Identifying miRNA-mRNA Integration Set Associated With Survival Time
por: Kim, Yongkang, et al.
Publicado: (2021) -
Genome and Transcriptome Sequencing of Populus × sibirica Identified Sex-Associated Allele-Specific Expression of the CLC Gene
por: Pushkova, Elena N., et al.
Publicado: (2021) -
A powerful statistical method identifies novel loci associated with diastolic blood
pressure triggered by nonlinear gene-environment interaction
por: Wang, Honglang, et al.
Publicado: (2014)