D
Daniel Garrigan
Researcher at University of Rochester
Publications - 33
Citations - 2446
Daniel Garrigan is an academic researcher from University of Rochester. The author has contributed to research in topics: Population & Coalescent theory. The author has an hindex of 23, co-authored 33 publications receiving 2295 citations. Previous affiliations of Daniel Garrigan include University of Arizona & Arizona State University.
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Journal ArticleDOI
Perspective: detecting adaptive molecular polymorphism: lessons from the MHC.
TL;DR: It is found that selection is not detectable in MHC datasets in every generation, population, or every evolutionary lineage, suggesting either that selection on the MHC is heterogeneous or that many of the current neutrality tests lack sufficient power to detect the selection consistently.
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Reconstructing human origins in the genomic era
TL;DR: The different genetic and statistical methods that are available for studying human population history are discussed, and the most plausible models of human evolution that can accommodate the contrasting patterns observed at different loci throughout the genome are identified.
Journal ArticleDOI
Genome sequencing reveals complex speciation in the Drosophila simulans clade
Daniel Garrigan,Sarah B. Kingan,Anthony J. Geneva,Peter Andolfatto,Andrew G. Clark,Kevin R. Thornton,Daven C. Presgraves +6 more
TL;DR: It is shown that gene flow has occurred throughout the genomes of the D. simulans clade species despite considerable geographic, ecological, and intrinsic reproductive isolation, and the relatively reduced efficacy of natural selection in D. sechellia is consistent with its derived, persistently reduced historical effective population size.
Detecting adaptive molecular polymorphism: lessons from the mhc
TL;DR: It is found that selection is not detectable in MHC datasets in every generation, population, or every evolutionary lineage, suggesting either that selection on the MHC is heterogeneous or that many of the current neutrality tests lack sufficient power to detect the selection consistently.
Journal ArticleDOI
Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating
J. Graham Ruby,Kevin M. Wright,Kristin A. Rand,Amir R. Kermany,Keith Noto,Don Curtis,Neal Varner,Daniel Garrigan,Dmitri Slinkov,Ilya Dorfman,Julie M. Granka,Jake K. Byrnes,Natalie M. Myres,Catherine A. Ball +13 more
TL;DR: It is concluded that the true heritability of human longevity for birth cohorts across the 1800s and early 1900s was well below 10%, and that it has been generally overestimated due to the effect of assortative mating.