Dahl Lab
Principal Investigator: Andrew Dahl
Institution: University of Chicago (Chicago, IL)
Primary Subfield: Genetics/Genomics
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
Enter the text here that is the new abstract information for your application. Complex traits result from interactions between many genetic and environmental factors. Nonetheless, most complex trait studies assume an additive model, in which genetic effects are independent of the environment and each other. This simple model has successfully identified many trait-associated loci, and these loci can be combined into Polygenic Scores (PGS) to predict disease. However, these results have not generally identified novel disease biology or therapies. Worse yet, current PGS have known and unknown statistical biases that will impede their accuracy in the clinic. I hypothesize that genetic interactions are the missing link in our understanding of complex trait biology. Genetic interactions are central to many fields of biology, and it is not likely that complex human traits are fundamentally different. However, prior studies of genetic interactions have generally been unsuccessful. I argue this results from limitations in our current models. In the next five years, I will develop genetic interaction models for complex traits to address these limitations. First, I will develop models to iden…
Active NIH Awards
- 5R35GM150822-04: Novel statistical genetics methods to unravel polygenic interactions in complex traits (2026)
- 5R35GM150822-03: Novel statistical genetics methods to unravel polygenic interactions in complex traits (2025)
- 5R35GM150822-02: Novel statistical genetics methods to unravel polygenic interactions in complex traits (2024)
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