About: Transcriptome-wide association study

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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 Eric R. Gamazon et al. and Alexander Gusev et al. in the journal Nature Genetics. This methodology has been widely adopted, having received 2057 citations (as of December 24, 2021) according to Google Scholar.

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  • 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 Eric R. Gamazon et al. and Alexander Gusev et al. in the journal Nature Genetics. This methodology has been widely adopted, having received 2057 citations (as of December 24, 2021) according to Google Scholar. (en)
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  • 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 Eric R. Gamazon et al. and Alexander Gusev et al. in the journal Nature Genetics. This methodology has been widely adopted, having received 2057 citations (as of December 24, 2021) according to Google Scholar. (en)
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  • Transcriptome-wide association study (en)
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