Working Group Series

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

Each year, the PQG organizes a less formal working group seminar for all local students, postdocs, and faculty. The goal is to provide the opportunity to present and participate in the discussion of works-in-progress, and to focus on the methods and analysis of high-dimensional data in genetics and genomics.


Organizer: Po-Ru Loh

Please direct any logistical questions to Shaina Andelman

 

Upcoming Working Group



Tuesday, January 20, 2015
12:30-2:00 PM
Building 2, Room 426 - Biostatistics Conference Room
a pizza lunch will be provided

Manuel A. Rivas
Wellcome Trust Centre for Human Genetics, University of Oxford and the Broad Institute

Exploiting Correlation of Genetic Effects in Rare Variant Association Studies

I consider the problem of assessing association between rare variants and their effects on multiple, possibly correlated phenotypes. This problem arises in population biobanks, where a large number of health related measurements are made, and sequencing association study designs of related disorders. In this talk I will present a statistical framework that employs estimates of the correlation of genetic effects to improve power to discover associations.  The approach exploits knowledge about the correlation in both genetic effects across a group of genetic variants and across a group of phenotypes. Properties of the approach as implemented include that it is computationally efficient, making the analysis of large study designs practical; it is flexible and extensible, making the analysis of gene-sets, pathways, and networks feasible; and it includes standard univariate and multivariate gene-based tests as a special case, thus it can be employed in settings where estimates of the expected correlation of genetic effects are not available.  I will present results from a simulation study and from the analysis of two independent rare variant association studies: 1) blood metabolite measurements (multiple quantitative traits) from subjects in the Oxford Biobank, a collection of 30-50 year old healthy men and women living in Oxford recruited from primary care who underwent a detailed examination at a screening visit; and 2) a targeted sequencing data set of six autoimmune diseases. The statistical and computational framework is implemented in software package MAMBA.

2014-2015 Working Groups


  • Tuesday, October 7, 2014
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Elinor Karlsson, Sabeti Lab at Harvard

  • Tuesday, October 28, 2014
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Yun Li, University North Carolina at Chapel Hill

  • Tuesday, December 2, 2014
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Sriram Sankararaman, Reich Lab at Harvard Medical School

  • Tuesday, January 20, 2015
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Manuel Rivas, Broad Institute

  • Tuesday, February 24, 2015
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Jason Flannick, Altshuler Lab at Broad Institute

  • Tuesday, March 24, 2015
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Daniel Balick, Sunyaev Lab at Brigham & Women's Hospital

  • Tuesday, April 21, 2015
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Rany Salem, Hirschhorn Lab at Boston Children's Hospital

  • Tuesday, May 12, 2015
    12:30-2:00 PM
    Building 2, Room 426 - Biostatistics Conference Room
    Jae-Hoon Sul, Sunyaev Lab at Brigham & Women's Hospital


 

Working Group Archive

 

Please feel free to contact us with any comments or questions at: sandelma@hsph.harvard.edu