Week 4: July 14, 2010

Interpreting Genomic Data in Clinical Medicine


Instructor:

Euan Ashley, MD, DPhil
Assistant Professor of Medicine - Cardiovascular Medicine

Learning Objectives

  • Gain understanding of clinical applications of genome sequencing for Mendelian and complex genetic diseases
  • Gain competence in estimating pre-test and post-test probabilities for disease risks using genomic data
  • Gain understanding of how genetic and environmental risks of disease are integrated into patient care


    • Data Exercises (Instructions)

  • Calculating disease risks using genome-wide SNP data: odds ratios, likelihood ratios, and probabilities of disease
  • Integrating genetic and environmental risk factors


    • Announcements
    Lecture Slides
    Data Exercise Slides


    Readings

    1. Ashley et al. Clinical assessment incorporating a personal genome. Lancet 2010 May 1;375(9725):1525-35.
    2. Samani et al. The personal genome -- the future of personalised medicine? Lancet 2010 May 1;375(9725):1497-8.
    3. 23andMe White Paper: Estimating Genotype-Specific Incidence for One or Several Loci.
    4. Morgan et al. Likelihood ratios for genome medicine. Genome Med. 2010 May 17;2(5):30.