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Biochemistry, Genetics and Molecular Biology› Genetics› Genetic Associations and Epidemiology

Statistical genetics — Expression QTLs as the mechanism behind GWAS associations

Submitted 2026-10-22

Field: Biochemistry, Genetics and Molecular Biology › GeneticsType: No effect foundArea: statistical geneticsTarget: Expression QTLs as the mechanism behind GWAS associationsStage: full study

Hypothesis

Most complex-trait GWAS variants act by changing the baseline expression of nearby genes, so eQTL colocalization and related methods should recover the known causal genes.

What failed

Across 220 gene-trait pairs where the causal gene is known from protein-coding variants, baseline-expression methods implicated few of those genes: colocalization 8%, transcriptome-wide association 2%, and regulatory annotations plus distance 4%, despite eQTLs lying near most GWAS hits.

Broken assumption

Trait-associated non-coding variants mostly coincide with homeostatic expression QTLs measured in standard datasets.

Why

The authors argue the results point to a deficit in the assumed model itself rather than just limited data, and call the gap 'missing regulation'.

From the published paper: Connally et al. eLife, 2022. ↗CC BY

Research ideas from this failure

Unvetted lead — read the papers

New hypotheses this failure suggests, each with a crucial experiment, a rival explanation of the original result, and the papers it rests on. Written by AI from paper titles and abstracts found on OpenAlex (and Europe PMC, for life and health sciences).

Related failures

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Links in published research

Where this experiment's genes are known to matter outside its own research area, and the papers behind those links. Sources: Open Targets Platform and Europe PMC.