Transcriptome-wide association study
 | This article, Transcriptome-wide association study, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
Transcriptome-wide association study (TWAS) is a statistical genetics methodology to improve detection power and provide functional annotation for genetic associations with phenotypes by integrating single nucleotide polymorphism to trait (SNP-trait) associations from genome-wide association studies with SNP-based prediction models of gene expression. The approach was presented by Gamazon et al.[1] and Gusev et al.[2] in the journal Nature Genetics.
References
- ^ Gamazon ER, Wheeler HE, Shah KP, et al. (September 2015). "A gene-based association method for mapping traits using reference transcriptome data". Nature Genetics. 47 (9): 1091–1098. doi:10.1038/ng.3367. PMC 4552594. PMID 26258848.
{{cite journal}}: CS1 maint: PMC format (link) - ^ Gusev A, Ko A, Shi H, et al. (March 2016). "Integrative approaches for large-scale transcriptome-wide association studies". Nature Genetics. 48 (3): 245–252. doi:10.1038/ng.3506. PMC 4767558. PMID 26854917.
{{cite journal}}: CS1 maint: PMC format (link)