2 Works

Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

Mandev S. Gill, Philippe Lemey, Shannon N. Bennett, Roman Biek & Marc A. Suchard
Effective population size characterizes the genetic variability in a population and is a parameter of paramount importance in population genetics and evolutionary biology. Kingman's coalescent process enables inference of past population dynamics directly from molecular sequence data, and researchers have developed a number of flexible coalescent-based models for Bayesian nonparametric estimation of the effective population size as a function of time. Major goals of demographic reconstruction include identifying driving factors of effective population size, and...

Data from: A quantitative electrophysiological biomarker of duplication 15q11.2-q13.1 syndrome

Joel Frohlich, Damla Senturk, Vidya Saravanapandian, Peyman Golshani, Lawrence T. Reiter, Raman Sankar, Ronald Thibert, Charlotte Distefano, Scott Huberty, Edwin H. Cook & Shafali S. Jeste
Background: Duplications of 15q11.2-q13.1 (Dup15q syndrome) are highly penetrant for autism spectrum disorder (ASD). A distinct electrophysiological (EEG) pattern characterized by excessive activity in the beta band has been noted in clinical reports. We asked whether EEG power in the beta band, as well as in other frequency bands, distinguished children with Dup15q syndrome from those with non-syndromic ASD and then examined the clinical correlates of this electrophysiological biomarker in Dup15q syndrome. Methods: In the...

Registration Year

  • 2016
    2

Resource Types

  • Dataset
    2

Affiliations

  • David Geffen School of Medicine at UCLA
    2
  • University of Tennessee Health Science Center
    1
  • Massachusetts General Hospital
    1
  • Columbia University
    1
  • University of Glasgow
    1
  • University of Illinois at Chicago
    1
  • California Academy of Sciences
    1
  • University of California Los Angeles
    1
  • KU Leuven
    1