        <br>
        This course will take the discrete and quantitative
        models from the previous two courses, and will use
        them to investigate problems of design and analysis for traits
        with a genetic basis.
        Important topics of
        discussion will include different approaches to 
        linkage analysis, finescale mapping, interpretation, real-life constraints,
        choosing among alternative designs, sample size estimation, 
        and ascertainment.  
        <br>
        By the end of the course, the student should be able to</p>
        <ul>
            <li>Choose among methods for analysis of genetic traits, and
                apply them appropriately,
                </li>
            <li>Discuss strengths and weaknesses of methods for such analyses,
                using statistical principles to form the basis for discussion,
                </li>
            <li>Provide interpretation of results of such analyses,
                </li>
            <li>Understand the advantages and disadvantages of commonly-used
                study designs,
                </li>
            <li>Understand the impact of ascertainment on analysis results
                and conclusions,
                </li>
            <li>Design a study of a complex trait with justification of analytic
                methods and required sample sizes,
                </li>
            <li>
                Read, understand, and critically evaluate
                the current literature
                involving genetic influences on complex
                traits.
                </li>
        </ul>
<P>
<A HREF="syllabus02.shtml">Syllabus</A>