Five Points Lecture: Guy Sella
Where: New York Genome Center
101 Sixth Ave.
646-977-7000 Price: Free
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Guy Sella is an associate professor in the Columbia University Department of Biological Sciences and a member of the Center for Computational Biology and Bioinformatics. His lab works to understand natural selection at the level of the genome, using quantitative models to analyze and distinguish patterns of genetic variation. They then use these models to make inferences about the relationships between natural selection and genetic variation in humans and other species, including such questions as what types of genetic variation are adaptive, how speciation arises from genetic variation, and why patterns of adaptive genetic variation differ across species. In addition, a particular interest in his lab is to understand how quantitative traits — such as height, body mass index, and the risk of developing certain diseases — evolve due to the interaction of many genetic variants. This has included exploring how recent demographic history among different human populations affects their burden of genetic diseases and how the genetic basis of quantitative traits affects response to novel selection pressures. Guy Sella is an associate professor in the Columbia University Department of Biological Sciences and a member of the Center for Computational Biology and Bioinformatics. His lab works to understand natural selection at the level of the genome, using quantitative models to analyze and distinguish patterns of genetic variation. They then use these models to make inferences about the relationships between natural selection and genetic variation in humans and other species, including such questions as what types of genetic variation are adaptive, how speciation arises from genetic variation, and why patterns of adaptive genetic variation differ across species. In addition, a particular interest in his lab is to understand how quantitative traits — such as height, body mass index, and the risk of developing certain diseases — evolve due to the interaction of many genetic variants. This has included exploring how recent demographic history among different human populations affects their burden of genetic diseases and how the genetic basis of quantitative traits affects response to novel selection pressures.
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