Arun Durvasula
@arundurvasula.bsky.social
Assistant Professor in the Center for Genetic Epidemiology at USC.
My lab studies genetics and evolution.
https://www.durvasula-lab.usc.edu
My lab studies genetics and evolution.
https://www.durvasula-lab.usc.edu
Reposted by Arun Durvasula
Population Biology Modeling & Theory (PBMT) is a peer-reviewed journal reporting advances in modeling and theory within population biology. Its scope spans demography, ecology, epidemiology, evolutionary biology, population genetics, and phylogenetics. PBMT will be online soon.
September 30, 2025 at 9:02 PM
Population Biology Modeling & Theory (PBMT) is a peer-reviewed journal reporting advances in modeling and theory within population biology. Its scope spans demography, ecology, epidemiology, evolutionary biology, population genetics, and phylogenetics. PBMT will be online soon.
There's a lot more that would take quite a bit more space to explain, so please check out the manuscript: www.medrxiv.org/content/10.1...
The Supplementary Note also has some good stuff! Thanks to our coauthors as well: Alkes Price, John Danesh, Gil McVean, @mikeinouye.bsky.social, and Sarah Urbut!
The Supplementary Note also has some good stuff! Thanks to our coauthors as well: Alkes Price, John Danesh, Gil McVean, @mikeinouye.bsky.social, and Sarah Urbut!
Exposure accumulation drives age-dependent disease architectures and polygenic risk scores
Our understanding of the dependence of the genetic and environmental architecture of common diseases on age is incomplete. Here, we use longitudinal data to quantify age-dependent genetic and environm...
www.medrxiv.org
September 2, 2025 at 11:08 PM
There's a lot more that would take quite a bit more space to explain, so please check out the manuscript: www.medrxiv.org/content/10.1...
The Supplementary Note also has some good stuff! Thanks to our coauthors as well: Alkes Price, John Danesh, Gil McVean, @mikeinouye.bsky.social, and Sarah Urbut!
The Supplementary Note also has some good stuff! Thanks to our coauthors as well: Alkes Price, John Danesh, Gil McVean, @mikeinouye.bsky.social, and Sarah Urbut!
This model is able to explain 85% of the variation in PRS across age (of which there is a lot! See Figure 5).
September 2, 2025 at 11:08 PM
This model is able to explain 85% of the variation in PRS across age (of which there is a lot! See Figure 5).
In our new manuscript, we show that age-dependent architectures for complex traits and predicted disease liability are driven by the accumulation of variance from environmental exposures and an age-dependent liability threshold model (liability-threshold+EA model).
September 2, 2025 at 11:08 PM
In our new manuscript, we show that age-dependent architectures for complex traits and predicted disease liability are driven by the accumulation of variance from environmental exposures and an age-dependent liability threshold model (liability-threshold+EA model).