Skip to content

Proteomics

Definition
AI-generated

Proteomics is the large-scale study of protein abundance, interactions, and post-translational modification, typically using mass spectrometry or multiplexed affinity platforms on biofluids or tissues.

Topics
Sequencing and omics tech
Related
Expression Quantitative Trait Locus (eQTL) Mendelian Randomization (MR) Proteome

Why it matters in GWAS

Proteomic datasets enable pQTL discovery and Mendelian-randomization–style bridges from variants to circulating proteins, complementing eQTL-based interpretation when RNA is unavailable or uncoupled from protein.

Example usage

"Olink proteomics in UK Biobank was used to map thousands of protein QTLs for downstream MR."

Expression Quantitative Trait Locus (eQTL) Mendelian Randomization (MR) Proteome Protein Quantitative Trait Locus (pQTL)
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

  • Ferkingstad E, et al. (2021). Large-scale integration of the plasma proteome with genetics and disease. Nat Genet.
← Proteome Protohistory →

Last updated (UTC · Git history)