This course type is computational

Genetic Analysis of Mendelian and Complex Disorders

19 - 25 July 2017Wellcome Genome Campus, Hinxton, UK
Deadlines (at 23:59 UTC):
  • Application Deadline Closed

  • Summary

    Formerly known as Human Genome Analysis: Genetic Analysis of
    Multifactorial Diseases,
    this intensive, residential, computer-based
    course is aimed at scientists actively involved in genetic analysis of
    both rare (Mendelian) and complex human traits.

    The course provides a broad and 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 principles behind each method
    will be carefully explained so that participants with a non-statistical
    background can understand and better interpret their results. 

    In addition to discussing analysis methods applicable to samples of
    unrelated individuals, we also will discuss in some detail methods that
    can analyse family data or a combination of families and individuals.

    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.  On completion, 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 in progress.  Each student will receive a
    certificate of course completion at the end of the course.

    Target audience: The programme is aimed primarily at
    Ph.D. students and post-docs near the beginning of their career, whose
    projects involve data that could be analysed by the methods covered in
    this course.  As we discuss in some detail methods for handling
    correlations induced by relatedness, there is a preference for candidates
    who have some family data or who are likely to have access to family data
    in the future.  Programming experience is not required, but
    candidates without prior experience with the Unix/Linux command line will
    be required to acquire these skills prior to the course.

    Feedback from the 2016 course
    “Thank you for a great experience. I highly recommend to keep this
    course going for as long as possible with this excellent core of
    instructors who have been together for ~20 years. The topics are as
    important today as they’ve ever been and it’s essential that the next
    generation of human genetic researchers understand these important topics
    and techniques.”
    “I will like to thank all the instructors for wonderful job and their
    patient with us. well done and keep it up”.
    “Thanks for all the instructors. I enjoyed every moment with healthy
    scientific conversation.”
    “I am grateful for the opportunity, because I recently started to learn
    about populations genetics and this course has been essential to
    understand it better and feel more confident about developing projects
    with populations.”

  • Programme

    This is a small residential course, with a low
    student:instructor ratio, personalized attention, and instructors
    involved and present throughout.  Students present on their own research
    to the group and receive constructive criticism particularly pertaining
    to study design and analysis.  

    The programme includes lecture and practical computer-based sessions and
    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

    View the 2016 course timetable here.

    Learning outcomes
    On completion of the course, participants can expect to:

    • Have a deeper understanding of optimal study design and power, and to be able to critically evaluate the design and power of their own research project.
    • Understand current best statistical methods and conditions under which their use is appropriate or inappropriate.
    • Understand the most appropriate statistical methods for their own research project.
    • Know how to use current software to analyse real data and interpret the results
  • Instructors / Speakers

    Course organiser
    Daniel E.
    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
    Stephen Burgess University of Cambridge,
    UK
    Nancy Cox Vanderbilt University, USA
    Danielle Posthuma  VU University and VU
    Medical Centre, The Netherlands
    Shamil Sunyaev Harvard University, USA

  • How to Apply

    Prerequisites
    This course is aimed primarily at Ph.D. students and post-docs near the
    beginning of their career, whose projects involve data that could be
    analysed by the methods covered in this course.  As we discuss in
    some detail methods for handling correlations induced by relatedness,
    there is a preference for candidates who have some family data or who are
    likely to have access to family data in the future.  Programming
    experience is not required, but candidates without prior experience with
    the Unix/Linux command line will be required to acquire these skills
    prior to the course.

    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 £975 towards board and lodging for
    non-commercial applicants. Please contact us for the commercial fee.

    Additional limited bursaries are available (up to 50%
    of the course fee)
    and are awarded on merit. Please see the “Bursaries”
    tab for details.

    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
    Deadline for Applications: Closed

    Travel visas
    Please contact the
    event organiser if you require a letter to support a travel visa
    application. Note that letters will be provided to confirmed attendees.

    Non-European Economic Area or Swiss nationals may be required to have a
    visa to enter the UK.
    Early application is strongly advised, as this process can take 6-8 weeks
    or longer.

    Please visit the following websites for further information:
    UK Border Agency website and information for general visitors and business
    visitors.

  • Cost / Bursaries

    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 £975 towards board and lodging for
    non-commercial applicants. Please contact us for the commercial fee.

    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.