Arun Durvasula

I'm a PhD student at UCLA in the Department of Human Genetics working with Kirk Lohmueller and Sriram Sankararaman. Previously, I worked in Angela Hancock's lab at the Max Planck Institute for Plant Breeding Research studying the demographic history of Arabidopsis thaliana. Prior to that, I worked in Jeff Ross-Ibarra's lab studying the effects of recent population size expansion on linked selection in maize and developing population genetic analysis tools at UC Davis. I study genetics, statistics, and computer science. You can find me on the web in the following places:

Github | Twitter | Google Scholar | CV

Email: [firstname].[lastname]@gmail.com

Research interests

My research centers around understanding the forces that create and maintain genetic variation and understanding the effects that genetic variation has on phenotypes. Some topics include:
  1. Building statistical models to understand evolution
  2. Empirically testing evolutionary theory
  3. Modeling genetic risk and phenotype prediction using GWAS data

Publications

( + ) denotes equal contribution

Preprint(s)

Durvasula A, Lohmueller K. Negative selection on complex traits limits genetic risk prediction accuracy between populations (Preprint)


2019

Durvasula A, Sankararaman S. Recovering signals of ghost archaic introgression in African populations (In press)

Durvasula A, Sankararaman S. A statistical model for reference-free inference of archaic local ancestry. (Journal) (Code) (PDF)


2018

Huber CD+, Durvasula A+, et al. Gene expression drives the evolution of dominance. (Journal) (Code) (PDF)

Schumer M, Xu C, Powell D, Durvasula A, et al. Natural selection interacts with the local recombination rate to shape the evolution of hybrid genomes. (Journal) (PDF)

Highlights: [F1000]

Schweizer RM, Durvasula A, et al. Natural selection and origin of a melanistic allele in North American gray wolves. (Journal) (PDF)


2017

Durvasula A+, Fulgione A+ , et al. African genomes illuminate the early history and transition to selfing in Arabidopsis thaliana. (Journal) (Code) (PDF)


2016

Durvasula A+, Hoffman PJ+, et al. ANGSD-wrapper: utilities for analyzing next generation sequencing data. (Journal) (Code) (PDF)

Beissinger TM, Wang L, Crosby K, Durvasula A, et al. Recent demography drives changes in linked selection across the maize genome. (Journal) (Code) (PDF)


Last updated August 2019