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Triangulation

Definition
AI-generated

Integrating multiple imperfect data sources or analytic approaches to strengthen causal claims—e.g. SNP–trait consistency across designs, populations, and omics.

Topics
Epidemiology
Related
Mendelian Randomization Colocalization Gwas Meta Analysis

Why it matters in GWAS

Epidemiologic measures and designs frame how phenotypes, sampling, and time-to-event endpoints are defined—directly affecting GWAS interpretation, meta-analysis, and translation.

Example usage

"Downstream interpretation uses Triangulation to connect statistical evidence with biological context."

Mendelian Randomization Colocalization Gwas Meta Analysis
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

  • Rothman KJ, Greenland S, Lash TL. (2008). Modern Epidemiology. Wolters Kluwer.
← Transposon Triassic Period →

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