Difference between revisions of "2015AdvancedGeneMapping"

From Statistical Genetics Courses

Jump to: navigation, search
(Heather Cordell)
(Laurent Francioli)
Line 34: Line 34:
 
** [http://statgen.us/files/2015/02/francioli/handouts/06-VCF_and_IGV.pdf NGS variants output and visualizaion: VCF and IGV]
 
** [http://statgen.us/files/2015/02/francioli/handouts/06-VCF_and_IGV.pdf NGS variants output and visualizaion: VCF and IGV]
 
* Exercises
 
* Exercises
** [http://statgen.us/files/201501/francioli/handouts/01_variant_calling_exercices.pdf Variant calling exercises]
+
** [http://statgen.us/files/2015/02/francioli/handouts/01_variant_calling_exercices.pdf Variant calling exercises]
** [http://statgen.us/files/201501/exercises/francioli.tar.bz2 Download Data Sets] (decompress using "tar jxvf francioli.tar.bz2")
+
** [http://statgen.us/files/2015/02/exercises/francioli.tar.bz2 Download Data Sets] (decompress using "tar jxvf francioli.tar.bz2")
  
<!--
 
* [http://statgen.us/files/201501/francioli/handouts.tar.bz2 tarball download]
 
-->
 
 
====Suzanne Leal====
 
====Suzanne Leal====
 
* Presentations
 
* Presentations

Revision as of 14:59, 7 June 2016

Advanced Gene Mapping Course

The Rockefeller University, New York, Monday through Friday, Feb. 9-13, 2015

General Information

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.

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 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.

Course Schedule

Course Instructors

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).

Lecture Handouts & Practical Exercises

Heather Cordell

Laurent Francioli

Suzanne Leal

Ben Neale

Shamil Sunyaev

Software

Links


This course is supported by a grant from the National Institute of Health (NIH) - National Human Genome Research Institute (NHGRI).