High false sign rates in transcriptome-wide association studies

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.

Authors

Publication Details

Journal
Nature Genetics
Published
2026-10-22
DOI
https://doi.org/10.1038/s41588-026-02796-4
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
3.67
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article

High false sign rates in transcriptome-wide association studies

P. Gerlach, Jonathan K. Pritchard, Jeffrey P. Spence, Nikhil Milind
1 citations
Nature Genetics
Genetic Associations and Epidemiology
3.67
article

High false sign rates in transcriptome-wide association studies

P. Gerlach, Jonathan K. Pritchard, Jeffrey P. Spence, Nikhil Milind
article en
1 citations

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.

Nature Genetics
Openalex Percentile: Top 5%
Genetic Associations and Epidemiology
3.67
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High false sign rates in transcriptome-wide association studies — P. Gerlach, Jonathan K. Pritchard, et al. · Nature Genetics (2026) | TGRS Research Map | TGRS