Arun Durvasula, PhD
My research focuses on developing statistical methods to understand patterns of genetic variation by focusing on two major questions:- How does evolutionary history shape patterns of genetic variation?
- How do we learn about the biological mechanisms that link genetic variation to phenotypic variation?
Github | Twitter | Google Scholar | CV
Email: [firstname].[lastname]@gmail.com
Software
OrientAGraph: Maximum likelihood network orientation for admixture graphs [12]
stdpopsim: Standard library for population genetic simulation models [9]
ArchIE: Reference-free inference of archaic local ancestry [7]
ANGSD-wrapper: Utilities for analyzing next generation sequencing data [2]
Publications
( + ) Joint first authors ( * ) Joint senior authorsPreprint(s)
Jiang X, Zhang MJ, Zhang Y, Durvasula A, Inouye M, Holmes C, Price AL, McVean G. Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.Preprint.
Huang B, Durvasula A, Mousavi N, Ziaei-Jam H, Maksimov M, Lohmueller KE, Gymrek M. Genome-wide selection inference at short tandem repeats. Preprint
2023
14. Wei X, Robles C, Pazokitoroudi A, Ganna A, Gusev A, Durvasula A, Gazal S, Loh PR, Reich D, Sankararaman S. The lingering effects of Neanderthal introgression on human complex traits. eLife
13. Zhang X+, Kim BY+, Singh A, Sankararaman S, Durvasula A*, Lohmueller KE*. MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations. Molecular Biology and Evolution (PDF) (Code)
2021
12. Molloy EK, Durvasula A, Sankararaman S. Advancing admixture graph estimation via maximum likelihood network orientation. Bioinformatics (ISMB 2021) (PDF) (Code)
11. Durvasula A, Lohmueller KE. Negative selection on complex traits limits phenotype prediction accuracy between populations. American Journal of Human Genetics (PDF)
Highlights: [F1000]
10. Boocock J, Sadhu MJ, Durvasula A, Bloom JS, Kruglyak L. Ancient balancing selection maintains incompatible versions of a conserved metabolic pathway in yeast. Science (PDF)
Highlights: [Science]
2020
9. The PopSim Consortium. A community-maintained standard library of population genetic models. eLife (PDF)
Highlights: [Nature Methods]
8. Durvasula A, Sankararaman S. Recovering signals of ghost archaic introgression in African populations Science Advances (Download local ancestry maps) (PDF)
Highlights: [New York Times] [NPR] [F1000] [Others]
2019
7. Durvasula A, Sankararaman S. A statistical model for reference-free inference of archaic local ancestry. PLOS Genetics (Code) (PDF)
2018
6. Huber CD+, Durvasula A+, Hancock AM, Lohmueller KE. Gene expression drives the evolution of dominance. Nature Communications (Code) (PDF)
5. 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. Science (PDF)
Highlights: [F1000]
4. Schweizer RM, Durvasula A, et al. Natural selection and origin of a melanistic allele in North American gray wolves. Molecular Biology and Evolution (PDF)
2017
3. Durvasula A+, Fulgione A+ , et al. African genomes illuminate the early history and transition to selfing in Arabidopsis thaliana. PNAS (Code) (PDF)
2016
2. Durvasula A+, Hoffman PJ+, et al. ANGSD-wrapper: utilities for analyzing next generation sequencing data. Molecular Ecology Resources (Code) (PDF)
1. Beissinger TM, Wang L, Crosby K, Durvasula A, et al. Recent demography drives changes in linked selection across the maize genome. Nature Plants (Code) (PDF)
Last updated May 2023