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RNA Sequencing (RNA-seq)

Definition
AI-generated

RNA-seq measures transcript abundance and sequence by sequencing RNA (often cDNA) across the transcriptome, enabling gene expression quantification, isoform detection, and fusion discovery.

Topics
Sequencing and omics tech
Synonyms
RNA sequencing
Related
Expression Quantitative Trait Locus (eQTL) Genome-Wide Association Study (GWAS) Genotype-Tissue Expression (GTEx)

Why it matters in GWAS

RNA-seq links GWAS loci to genes and pathways through expression QTLs, tissue-specific effects, and transcriptome-wide association studies (TWAS), complementing DNA-only association results.

Example usage

"We integrated GWAS loci with GTEx RNA-seq eQTL data to prioritize candidate genes."

Expression Quantitative Trait Locus (eQTL) Genome-Wide Association Study (GWAS) Genotype-Tissue Expression (GTEx) Long-Read RNA-seq Transcript Assembly Transcriptome Transcriptomics Transcriptome-Wide Association Study (TWAS) Variant Annotation
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Ozsolak F, Milos PM. (2011). RNA sequencing: advances, challenges and opportunities. Nat Rev Genet.
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