G
Guy Sella
Researcher at Columbia University
Publications - 50
Citations - 4523
Guy Sella is an academic researcher from Columbia University. The author has contributed to research in topics: Population & Natural selection. The author has an hindex of 25, co-authored 48 publications receiving 3965 citations. Previous affiliations of Guy Sella include Tel Aviv University & University of Chicago.
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Journal ArticleDOI
Classic Selective Sweeps Were Rare in Recent Human Evolution
Ryan D. Hernandez,Joanna L. Kelley,Eyal Elyashiv,S. Cord Melton,Adam Auton,Gilean McVean,Gilean McVean,Guy Sella,Molly Przeworski,Molly Przeworski +9 more
TL;DR: Findings indicate that classic sweeps were not a dominant mode of human adaptation over the past ~250,000 years and amino acid and putative regulatory sites are not significantly enriched in alleles that are highly differentiated between populations.
Journal ArticleDOI
The application of statistical physics to evolutionary biology.
Guy Sella,Aaron E. Hirsh +1 more
TL;DR: It is shown that a precise mathematical analogy can be drawn between certain evolutionary and thermodynamic systems, allowing application of the powerful machinery of statistical physics to analysis of a family of evolutionary models.
Journal ArticleDOI
Pervasive natural selection in the Drosophila genome
TL;DR: Analyses of genetic variation within and between species reveal that much of the Drosophila genome is under purifying selection, and thus of functional importance, and that a large fraction of coding and noncoding differences between species are adaptive.
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Multiple Instances of Ancient Balancing Selection Shared Between Humans and Chimpanzees
Ellen M. Leffler,Ziyue Gao,Susanne P. Pfeifer,Laure Ségurel,Laure Ségurel,Adam Auton,Oliver Venn,Rory Bowden,Ronald E. Bontrop,Jeffrey D. Wall,Guy Sella,Peter Donnelly,Gilean McVean,Molly Przeworski,Molly Przeworski +14 more
TL;DR: Findings indicate that ancient balancing selection has shaped human variation and point to genes involved in host-pathogen interactions as common targets.
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A population genetic interpretation of GWAS findings for human quantitative traits.
TL;DR: This work solves the model for the phenotypic distribution and allelic dynamics at steady state and derive robust, closed-form solutions for summary statistics of the genetic architecture of a focal trait that arises under stabilizing selection in a multidimensional trait space.