PQG Seminar Series

The PQG will host another monthly seminar series for the 2014-2015 school year. Please see the full list of dates and speakers below, as they continue to be updated.

The goal of the PQG Seminar Series is to encourage the exchanging of ideas, promote interaction, collaboration, and research in quantitative genomics. It also aims to promote the mission of the PQG which is to improve health through an interdisciplinary study of genetics, behavior, environment and medicine. The seminar series looks to include the development and application of quantitative methods, especially for high dimensional data, as well as a focus on the training of quantitative genomic scientists.

Please direct any logistical questions to Shaina Andelman at sandelma@hsph.harvard.edu

Upcoming Seminar


FRIDAY, May 15, 2015
12:30-2:00 PM
Kresge G2

a pizza lunch will be provided

Christopher Amos
Professor of Community and Family Medicine
Professor of Genetics
Associate Director for Population Sciences, Norris Cotton Cancer Center
Dartmouth Geisel School of Medicine

Modeling Genome Wide Effects on Cancer Risk

Genome wide association studies (GWAS) have been a highly effective tool for exploring genetic contributions to complex diseases, but have failed to explain very much of the heritability or total genetic risk associated with cancer development. In this talk I describe ongoing efforts to characterize the features of single nucleotide polymorphisms that are associated with successful replication of findings during GWAS as a measure of the particular attributes that should be considered when designing studies and particularly for associating weights for evaluating findings from GWAS and large scale sequencing studies. Finally I describe new methods for seeking to identify further components of missing heritability that reflect gene-gene and gene-environment interactions. These interactions are modeled using a Bayesian approach. Results from simulation studies and application to data from association studies of lung cancer show that a model that weakly constrains the prior probabilities that interactions are included in a model generally outperformed, as reflected by root mean squared error and posterior probabilities, either models with stricter constraints or that did not impose constraints.



2014-2015 Seminar Schedule


  • Tuesday, September 16, 2014
    12:30-2:00 PM
    Kresge G2
    Soumya Raychaudhuri, Harvard Medical School
  • Tuesday, October 14, 2014
    12:30-2:00 PM
    Kresge G2
    Hongzhe Li, University of Pennsylvania

  • Tuesday, November 4, 2014
    12:30-2:00 PM
    Kresge G2
    Molly Przeworski, Columbia University

  • Tuesday, December 9, 2014
    12:30-2:00 PM
    Kresge G2
    Brian Browning, University of Washington

  • Tuesday, April 14, 2015
    12:30-2:00 PM
    FXB G12
    Hua Tang, Stanford University

  • Tuesday, May 5, 2015
    12:30-2:00 PM
    FXB G12
    Steve Horvath
    , UCLA
  • FRIDAY, May 15, 2015
    12:30-2:00 PM
    KRESGE G2
    Christopher Amos, Dartmouth Medical School




Seminar Archive