Search Results - "Kermany, Amir"

  • Showing 1 - 10 results of 10
Refine Results
  1. 1
  2. 2

    Evolutionary history inferred from the de novo assembly of a nonmodel organism, the blue‐eyed black lemur by Meyer, Wynn K, Venkat, Aarti, Kermany, Amir R, de Geijn, Bryce, Zhang, Sidi, Przeworski, Molly

    Published in Molecular ecology (01-09-2015)
    “…Lemurs, the living primates most distantly related to humans, demonstrate incredible diversity in behaviour, life history patterns and adaptive traits…”
    Get full text
    Journal Article
  3. 3

    Fixation probability in a two-locus model by the ancestral recombination-selection graph by Lessard, Sabin, Kermany, Amir R

    Published in Genetics (Austin) (01-02-2012)
    “…We use the ancestral influence graph (AIG) for a two-locus, two-allele selection model in the limit of a large population size to obtain an analytic…”
    Get full text
    Journal Article
  4. 4

    TroX: a new method to learn about the genesis of aneuploidy from trisomic products of conception by Kermany, Amir R, Segurel, Laure, Oliver, Tiffany R, Przeworski, Molly

    Published in Bioinformatics (Oxford, England) (15-07-2014)
    “…An estimated 10-30% of clinically recognized conceptions are aneuploid, leading to spontaneous miscarriages, in vitro fertilization failures and, when viable,…”
    Get full text
    Journal Article
  5. 5

    A Prospective Analysis of Genetic Variants Associated with Human Lifespan by Wright, Kevin M, Rand, Kristin A, Kermany, Amir, Noto, Keith, Curtis, Don, Garrigan, Daniel, Slinkov, Dmitri, Dorfman, Ilya, Granka, Julie M, Byrnes, Jake, Myres, Natalie, Ball, Catherine A, Ruby, J Graham

    Published in G3 : genes - genomes - genetics (01-09-2019)
    “…We present a massive investigation into the genetic basis of human lifespan. Beginning with a genome-wide association (GWA) study using a de-identified…”
    Get full text
    Journal Article
  6. 6

    Effect of epistasis and linkage on fixation probability in three-locus models: An ancestral recombination–selection graph approach by Kermany, Amir R., Lessard, Sabin

    Published in Theoretical population biology (01-09-2012)
    “…We study the probability of ultimate fixation of a single new mutant arising in an individual chosen at random at a locus linked to two other loci carrying…”
    Get full text
    Journal Article
  7. 7

    Joint stationary moments of a two-island diffusion model of population subdivision by Kermany, Amir R.R., Zhou, Xiaowen, Hickey, Donal A.

    Published in Theoretical population biology (01-10-2008)
    “…An expression for joint stationary moments of a diffusion approximation to a generalized Wright–Fisher model, corresponding to two finite populations of equal…”
    Get full text
    Journal Article
  8. 8

    Finite Populations, Finite Resources, and the Evolutionary Maintenance of Genetic Recombination by Ackerman, Sol, Kermany, Amir R, Hickey, Donal A

    Published in The Journal of heredity (01-03-2010)
    “…Most previous models for the evolution of sex implicitly assume infinite population sizes and limitless resources. However, because favorable mutations are…”
    Get full text
    Journal Article
  9. 9

    Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating by Ruby, J Graham, Wright, Kevin M, Rand, Kristin A, Kermany, Amir, Noto, Keith, Curtis, Don, Varner, Neal, Garrigan, Daniel, Slinkov, Dmitri, Dorfman, Ilya, Granka, Julie M, Byrnes, Jake, Myres, Natalie, Ball, Catherine

    Published in Genetics (Austin) (01-11-2018)
    “…Human life span is a phenotype that integrates many aspects of health and environment into a single ultimate quantity: the elapsed time between birth and…”
    Get full text
    Journal Article
  10. 10

    Modeling change of haplotype distributions in random mating populations using random sets by Raji-Kermany, A., Charalambous, C.D., Hickey, D.

    “…Several mathematical models have been developed to describe the genetic structure of populations. Most of these models focus on only one, or few genetic loci…”
    Get full text
    Conference Proceeding