ArticlebioRxiv : the preprint server for biology2024
Pathway Polygenic Risk Scores (pPRS) for the Analysis of Gene-environment Interaction.
Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Not yet cited in PubMed.
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ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis
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22 authors.
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Abstract
A polygenic risk score (PRS) is used to quantify the combined disease risk of many genetic variants. For complex human traits there is interest in determining whether the PRS modifies, i.e. interacts with, important environmental (E) risk factors. Detection of a PRS by environment (PRS × E) interaction may provide clues to underlying biology and can be useful in developing targeted prevention strategies for modifiable risk factors. The standard PRS may include a subset of variants that interact with E but a much larger subset of variants that affect disease without regard to E. This latter subset will 'water down' the underlying signal in former subset, leading to reduced power to detect PRS × E interaction. We explore the use of pathway-defined PRS (pPRS) scores, using state of the art tools to annotate subsets of variants to genomic pathways. We demonstrate via simulation that testing targeted pPRS × E interaction can yield substantially greater power than testing overall PRS × E interaction. We also analyze a large study (N=78,253) of colorectal cancer (CRC) where E = non-steroidal anti-inflammatory drugs (NSAIDs), a well-established protective exposure. While no evidence of overall PRS × NSAIDs interaction (p=0.41) is observed, a significant pPRS × NSAIDs interaction (p=0.0003) is identified based on SNPs within the TGF-β / gonadotropin releasing hormone receptor (GRHR) pathway. NSAIDS is protective (OR=0.84) for those at the 5
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