This course type is computational

Human Genome Analysis: Genetic Analysis of Multifactorial Diseases

20 - 26 July 2016Wellcome Genome Campus, Hinxton, UK
Deadlines (at 23:59 UTC):
  • Application Deadline Closed

  • Summary

    This intensive, residential, computational course is aimed at scientists
    actively involved in genetic analysis of multifactorial traits.

    The course provides a comprehensive overview of the statistical methods
    currently used to map disease susceptibility genes in human populations.
    Discussions of the latest statistical methodology are complemented by
    practical hands-on computer exercises using state-of-the-art software.
    The statistical basics behind each method will be carefully explained so
    that participants with a non-statistical background can understand. 
    In addition to discussing analysis methods applicable to samples of
    unrelated individuals, we also will discuss methods that can analyse
    family data or a combination of families and individuals.

    This is a small residential course, with a low student:instructor ratio,
    personalized attention, and instructors involved and present
    throughout.  Each student will receive a certificate of course
    completion at the end of the course.
    For more information on course content, please
    refer to the 2015 timetable
    (pdf).

    Feedback from the 2015 course:
    “I like how we can continue to work on the tutorials through the
    virtual box. Overall I found this course extremely useful and applicable
    to my project. There were many opportunities to meet intelligent people
    and form collaborations.”
    “The whole course was of a very high standard. The combination of
    lectures and computer exercises complimented each other.”
    “I think this was an outstanding course and I feel privileged to have
    participated. Thank you again to all the instructors for all the time and
    effort that went into preparing the material.”
    “Thank you for organising a very useful and informative course. I will
    definitely recommend this to my colleagues.”

  • Programme

    The programme will discuss fundamental issues needed to increase
    success
    in gene mapping studies including:

    • Optimal study design
    • Power
      to detect linkage and association
    • Determining the most appropriate
      statistical methods and software
    • Quality control strategies
    • Interpretation of statistical results and trouble shooting
    • Basic principles of statistical inference
    • Hypothesis
      testing
    • Population and quantitative genetics
    • Mendelian inheritance

    Our interactive and intensive educational
    program will enable
    researchers to better carry out sophisticated
    statistical analyses of
    genetic data, and will also improve their
    interpretation and
    understanding of the results. The concepts and
    methodological approaches
    covered are equally applicable to genotype
    data generated from
    traditional genotyping technologies and to data
    generated through next
    generation sequencing endeavours. Note, however,
    that the bioinformatics
    pipelines for calling variants from next
    generation sequencing data are
    NOT covered; the focus of the course is
    on the downstream analysis of
    called variants.

    All
    the software used is freely available, so that skills learned can be
    easily applied after the course.  After the course, participants
    will be
    provided with a virtual machine copy of the computer used during
    the
    course, so they can easily explore the computer exercises and
    example
    data sets in greater detail. Teaching will take the form of
    lectures
    by invited expert speakers, informal tutorials, hands-on
    computer
    sessions, and analysis of example disease data sets. There will
    also be
    an opportunity for each participant to give a short presentation
    about
    his or her own research.

  • Instructors / Speakers

    Course organiser
    Daniel Weeks University of Pittsburgh, USA

    Course instructors
    Heather Cordell Institute of Genetic Medicine, Newcastle
    University, UK
    Janet Sinsheimer University of California, Los Angeles,
    USA
    Eric Sobel University of California, Los Angeles, USA

    Joe Terwilliger Columbia University, New York, USA

    Simon Heath Centre Nacional d’Anàlisi Genòmica (CNAG),
    Barcelona, Spain

    Guest speakers
    Richard Duerr University of Pittsburgh, USA

    Andrew Morris University of Liverpool, UK
    Nicole Soranzo Wellcome Trust Sanger Institute, UK
    Timothy Thornton University of Washington, USA
    Chris Wallace University of Cambridge, UK

  • How to Apply

    Prerequisites
    The target audience is ideally postdoctoral researchers and advanced
    graduate students who have real data to analyse. Applications from senior
    established investigators are usually not considered. We aim to accept
    the member of a research group who is most likely to actually be
    analysing the data and who is most likely to share their training with
    other members. This course is aimed at the non-statistically trained
    researcher rather than those with advanced training in statistics.

    Cost
    The
    course is subsidised by the Wellcome Genome Campus
    Advanced Courses and Scientific Conferences Programme. This is a
    residential
    course and there is a fee of £955 towards board and lodging
    for non-commercial applicants. Please contact us for the commercial fee.

    Applications
    Applications for this course can be completed online. If you have any
    problems with the online application process, please contact us.

    Please note: Applications
    must be supported by a
    recommendation from a scientific or clinical sponsor (e.g. supervisor or
    head of department). A request for a supporting
    statement will be sent
    to your nominated sponsor automatically during
    the application process.
    Applicants must ensure that their sponsor
    provides this supporting
    statement by the application deadline. Applications without a supporting
    statement cannot be considered.

    Deadlines
    Closed

  • Bursaries

    Bursaries
    Advanced Courses are subsidised for non-commercial applicants from
    anywhere in the world. Additional, limited bursaries are
    available (up
    to 50% of the course fee) and are awarded on merit. If you would like to
    apply for a
    bursary, please complete the bursary section of the online
    application
    form.

    Please note that both the applicant
    and sponsor are required to provide
    a justification for the
    bursary as part of the application.

    Bursary terms and conditions

    UK Courses (held at the Wellcome Genome Campus, Hinxton,
    Cambridge)
    A
    limited number of bursaries are available for each course. These are
    awarded by the selection committee according to merit. The bursary
    covers a maximum of 50% of the course fee, though in exceptional
    circumstances an application for the total course fee may be considered.
    Where there are many bursary applications, the selection committee may
    issue smaller amounts. We cannot assist with travel costs to attend UK
    courses.

    Overseas Courses (held outside of the UK)
    A
    limited number of bursaries are available for each course. These are
    awarded on merit to cover travel, accommodation and sustenance. The
    maximum award for travel (economy class) will be £750.

    Bursaries can be applied for as part of the course application form.
    Applicants
    will be notified of a bursary award along with their place on
    the
    course, usually within one month of the application deadline. The
    decision of the selection committee is
    final.