PofoliaShared via Pofolia

Nature Genetics· 2026Q1

High false sign rates in transcriptome-wide association studies

P. Gerlach, Nikhil Milind, Jeffrey P. Spence, Jonathan K. Pritchard

Short summary

Transcriptome-wide association studies (TWAS) show a 23% false sign rate for plasma proteins and 33% for complex traits, indicating unreliable direction-of-effect estimates.

AI-generated from the title and abstract; the full text is not read.

Key points

  • TWAS demonstrate a 23% false sign rate when inferring gene effects on plasma proteins.
  • TWAS exhibit a 33% false sign rate for complex traits.
  • High false sign rates are attributed to regulatory variants in non-trait-relevant tissues.
  • These variants can spuriously tag trait-associated haplotypes, yielding unreliable effect directions.

AI-generated from the title and abstract; the full text is not read.

Abstract

Abstract Transcriptome-wide association studies (TWAS) are widely used to identify genes involved in complex traits and to infer the direction of gene effects on traits. However, despite their popularity, it remains unclear how accurately TWAS recover the true direction of a gene’s effect on a trait. Here we estimate the false sign rate of TWAS for plasma proteins, leveraging the expectation that increased gene expression should generally increase protein expression. We then extend this framework to complex traits, where loss-of-function burden tests provide the expected direction of effect. In both analyses, we observe high discordance with expectations, with TWAS showing a false sign rate of 23% for plasma proteins and 33% for complex traits. We propose that much of the sign discordance arises when expression quantitative trait loci in non-trait-relevant tissues tag haplotypes associated with traits in genome-wide association studies via distinct, tightly linked regulatory variants, yielding spurious TWAS associations with the correct genes but with unreliable direction of effect. These findings show that TWAS-based direction-of-effect estimates should be interpreted with caution and raise concerns about the reliability of TWAS more broadly.

The authors' abstract, as published at the source. Nature Genetics, 2026 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Genetics (Biochemistry, Genetics and Molecular Biology)

GeneticsBiochemistry, Genetics and Molecular Biology