MARCH 4th - MARCH 8th, 2019
The next workshop will be held in Boulder, Colorado, March 4th- 8th, 2019, with John Hewitt and Matt Keller as Local Hosts, and Benjamin Neale, Broad Institute and Massachusetts General Hospital, and David Evans, Diamantina Institute, University of Queensland, as co-Directors. This advanced course is intended for those who are already familiar with the statistical and genetic principles for studying human complex traits and have some familiarity with programming in R. The course will focus on statistical methods for analyzing genome-wide association studies (GWAS) and genome sequence data. Hands-on analysis will be an integral part of the course and will employ networked notebook computers. A provisional schedule is posted on the workshop website via https://www.colorado.edu/ibg/workshop-2019
The registration fee is $600, payable by January 25th, 2019. Thereafter, the fee will be $700. Non-payment by February 15th, 2019, will result in your registration being dropped, and cancellations after that date will be non-refundable. Refunds of payments will incur a $25 refund processing fee. Details of local arrangements, registration, and accommodation are available from the workshop secretary, Katie Sheehan, and at https://www.colorado.edu/ibg/workshop-2019
An outstanding international faculty roster includes:
Further information may be obtained from John Hewitt, or the workshop secretary, Katie Sheehan, IBG, University of Colorado, Boulder, CO 80309-0447, USA; Telephone: 303-492-3405; FAX: 303-492-8063; E-mail: John.Hewitt@Colorado.edu or Catlin.Oleary@colorado.edu
Individuals from underrepresented racial and ethnic groups, individuals with disabilities, and individuals from socially, culturally, economically, or educationally disadvantaged backgrounds are especially encouraged to attend. Partial financial support for US participants from these groups is available by application to the local host, John Hewitt.
Financial support for this workshop is provided by grant MH19918 from the National Institute of Mental Health.