S
Scott Williamson
Researcher at Cornell University
Publications - 28
Citations - 8279
Scott Williamson is an academic researcher from Cornell University. The author has contributed to research in topics: Population & Nonsynonymous substitution. The author has an hindex of 25, co-authored 27 publications receiving 7703 citations. Previous affiliations of Scott Williamson include American Museum of Natural History & University of Kansas.
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Journal ArticleDOI
Inferring the joint demographic history of multiple populations from multidimensional SNP frequency data.
TL;DR: Combining the demographic model with a previously estimated distribution of selective effects among newly arising amino acid mutations accurately predicts the frequency spectrum of nonsynonymous variants across three continental populations (YRI, CHB, CEU).
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Genomic scans for selective sweeps using SNP data
Rasmus Nielsen,Scott Williamson,Yuseob Kim,Melissa J. Hubisz,Andrew G. Clark,Carlos Bustamante +5 more
TL;DR: This work shows that a new parametric test, based on composite likelihood, has a high power to detect selective sweeps and is surprisingly robust to assumptions regarding recombination rates and demography (i.e., has low Type I error).
Journal ArticleDOI
Natural selection on protein-coding genes in the human genome
Carlos Bustamante,Adi Fledel-Alon,Scott Williamson,Rasmus Nielsen,Rasmus Nielsen,Melissa Todd Hubisz,Stephen Glanowski,David M. Tanenbaum,Thomas J. White,John J. Sninsky,Ryan D. Hernandez,Daniel Civello,Mark Raymond Adams,Michele Cargill,Andrew G. Clark +14 more
TL;DR: Comparisons of DNA polymorphism within species to divergence between species enables the discovery of molecular adaptation in evolutionarily constrained genes as well as the differentiation of weak from strong purifying selection, and finds strong evidence that natural selection has shaped the recent molecular evolution of the authors' species.
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Assessing the Evolutionary Impact of Amino Acid Mutations in the Human Genome
Adam R. Boyko,Scott Williamson,Amit Indap,Jeremiah D. Degenhardt,Ryan D. Hernandez,Kirk E. Lohmueller,Mark Raymond Adams,Steffen Schmidt,John J. Sninsky,Shamil R. Sunyaev,Thomas J. White,Rasmus Nielsen,Andrew G. Clark,Carlos Bustamante +13 more
TL;DR: The analysis predicts that many of the alleles identified via whole-genome association mapping may be selectively neutral or (formerly) positively selected, implying that deleterious genetic variation affecting disease phenotype may be missed by this widely used approach for mapping genes underlying complex traits.
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Ascertainment bias in studies of human genome-wide polymorphism
TL;DR: An ascertainment correction is performed and it is shown how the post-correction data are more consistent across these studies, suggesting that the heterogeneity in the SNP discovery process of the HapMap project resulted in a data set resistant to complete ascertainment Correction.