FAMILY BASED GENETIC EPIDEMIOLOGY Syllabus

340.661.11 | AY 2013-2014 - Summer Inst. Term | 2 Credit(s)
MTWThF 8:30:00 AM
  • Contact Information
    Faculty
    Terri Beaty
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • Explain how family data can be used to test for genetic control of a disease or quantitative phenotype through studies of recurrence risk or analysis of familial correlations
    • Use currently available software to check for structural errors in family data, estimate allele frequencies, check for Mendelian inconsistencies and describe familial aggregation of both qualitative and quantitative phenotypes
    • Explain how models of inheritance are fit to family data using maximum likelihood techniques in segregation analysis
    • Explain what linkage analysis means, and how it can be used to map genes underlying complex diseases or associated quantitative phenotypes
    • Use currently available software to test for linkage between genetic markers and a disease phenotype using both parametric and non-parametric methods
    • Explain how variance components models can be used to identify quantitative trait loci (QTL) that are used to map genes for quantitative phenotypes
    • Explain the conceptual differences between linkage and association as statistical tools to identify genes controlling complex phenotypes
    • Explain how family based association tests can yield information on linkage in the presence of disequilibrium
  • Course Description
    Presents methods commonly used in genetic epidemiology, including statistical methods for measuring familial aggregation, in addition to formal segregation and linkage analysis using family data. The principles and applications of a variety of statistical methods presented in detail, and students are given the opportunity to implement these methods using both real and simulated data sets as part of the computer lab. Basic understanding of epidemiologic and biostatistical principles is required for this course. Students unfamiliar with genetics should take the "Molecular Biology for Genetic Epidemiology" course.

    Additional Faculty Notes:

    Presents methods commonly used in genetic epidemiology, including statistical methods for measuring familial aggregation of a disease or quantitative trait, linkage analysis using family data (both parametric and non-parametric), and family based tests of association. The principles and applications of a variety of statistical methods are presented in detail, and students are given the opportunity to implement these methods using both real and simulated data sets in the computer lab. Basic understanding of epidemiologic and biostatistical principles is required for this course. Students unfamiliar with genetic techniques should take the "Molecular Biology for Genetic Epidemiology" course.

  • Intended Audience
    JHSPH students and SI participants
  • Methods of Assessment
    Class assignments.
  • Prerequisites
    Basic understanding of epidemiologic and biostatistical principles.
  • Required Text(s)

    Additional Faculty Notes:

    Recommended: 

    • Human Genome Epidemiology, 2nd edition, 2010, M.J. Khoury et al. (eds.), Oxford University Press.
    • A statistical approach to genetic epidemiology, 2nd edition, 2010. A. Ziegler & I.R. Konig, Wiley VCH.
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Welcome Message

    Welcome to "Family Based Genetic Epidemiology" (340.661.11) for the Summer Institute 2011.

  • Software used in computer lab

    SIB-PAIR

    MERLIN

    FBAT

    QUANTO

  • Contact Information(from old syllabus)

    Terri Beaty, PhD
    Email: tbeaty@jhsph.edu
    Office: Hygeine W6513
    Tel: 410-955-6960

    Rasika Mathias, ScD
    Email: rmathias@jhmi.edu
    Office: 1830 E. Monument St.
    Tel: 410-614-2266

    Silke Szymczak, PhD
    Email: szymczaks@mail.nih.gov

    Terri Beaty, PhD
    Email: tbeaty@jhsph.edu
    Office: W6513
    Tel: 410-955-6960

  • Course Objectives(from old syllabus)

    After successfully completing this course, students will be able to: •Explain how family data can be used to test for genetic control of a disease or quantitative phenotype through studies of recurrence risk or analysis of familial correlations •Use currently available software to check for errors in family data, estimate allele frequencies, check for Mendelian inconsistencies and describe familial aggregation of both qualitative and quantitative phenotypes •Explain what linkage analysis means, and how it can be used to map genes underlying complex diseases or associated quantitative phenotypes •Use currently available software to test for linkage between genetic markers and a disease phenotype using both parametric and non-parametric methods •Explain how variance components models can be used to identify quantitative trait loci (QTL) that are used to map genes for quantitative phenotypes •Explain the conceptual differences between linkage and association as statistical tools to identify genes controlling complex phenotypes •Explain how family based association tests can yield information on linkage in the presence of disequilibrium.

  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at dss@jhsph.edu.