The Rockefeller University, New York
Monday through Friday, Feb. 9-13, 2015
An advanced gene mapping course will be held in New York from Monday through Friday February 9-13, 2015. The cost of the 5-day course is $100. This fee covers tuition and course related expenses (handouts, etc.) but not room and board.
The course emphasis is analysis of complex human disease traits; concentrating on methods to detect rare and common variant associations. The course includes theory as well as practical exercises. The exercises will be carried out using a variety of computer programs including ANNOVAR, GATK, GenABEL, GERP, PLINK, R, SIFT, SEQPower, Variant Association Tools (VAT), Polyphen-2, etc. Topics include: Analysis of whole genome association studies; analysis of rare variants using next generation sequence and exome chip data; rare variant association tests; analysis of qualitative and quantitative traits (population and family-based data); detection of de novo variants and significance testing; Mendelian randomization; determining whether inflated test statistics observed with large scale GWAS meta-analysis is driven by confounding or by polygenic inheritance using the LD score approached; functional predication of variant sites; variant annotation, sequence read alignment and variant calling, controlling for population substructure\admixture (principal components analysis\multidimensionality scaling); data quality control of genotype and sequence data; detection of gene x gene interaction; sample size estimation and evaluating power for common and rare variants.
The instructors for the course are: Heather Cordell (University of Newcastle), Laurent Francioli (University Medical Center Utrecht), Suzanne Leal (The Rockefeller University & Baylor College of Medicine), Ben Neale (Broad Institute and Harvard University) and Shamil Sunyaev (Harvard University).
The maximum number of participants is 30. The course will take place in the teaching room of the Weiss Building at The Rockefeller University, which is equipped with PCs running under LINUX. The course is wheel chair accessible. All disabilities will be accommodated. Handicapped individuals are encouraged to apply.
Four travel stipends of up to $1,000 each are available. Eligibility requirements are: (1) sufficient background and practical experience in statistical analysis of genetic data, and (2) demonstrated financial need. Preference for stipends will be given to pre-doctoral students and postdoctoral researchers. To apply for the a stipend, please attach a letter of request and enclose a letter of reference and proof of student or postdoctoral status.
Knowledge of linkage analysis, genetic association analysis, genetic epidemiology and/or statistical genetics is used to select course participants. Please describe your experience in detail in your application. We may contact you personally to discuss your application. Although experience of using LINUX is not necessary it is highly beneficial to have a basic working knowledge of this operating system before the start of the course.
Application deadline is Monday, Dec. 1, 2014
This course is supported by a grant from the National Institute of Health (NIH) - National Human Genome Research Institute (NHGRI).