Short Course on SGG

Major efforts are under way to uncover the specific genetic components of many complex human disorders and quantitative traits. These efforts are generating an unprecedented wealth of data that requires sophisticated statistical analysis in order to maximize the information gleaned from each study. Likewise, many advances have been made in statistical methods for the study of complex genetic traits, and new statistical methods continue to be promulgated. To expedite and significantly advance the search for specific genes that predispose to these complex traits, we propose a series of annual hands-on short courses on statistical genetics and statistical genomics which will enable a far greater number of researchers, including clinical researchers, to participate in, contribute to, and lead such research. These short courses will help equip students, post-doctoral fellows, junior investigators and senior investigators new to the field with the statistical genetic approaches necessary to expedite genomic discovery. The courses will be taught by leading experts in statistical genetics/genomics. Each 5-day course will provide substantial “hands-on” computer training that will effectively increase the number and the expertise of investigators who are pursuing genetic and genomic research. We expect approximately 50 students to attend each course, allowing for intensive interaction between students and faculty. Lectures will be supplemented with extensive discussion sessions, handouts, presentation of worked examples, and interactive demonstrations of statistical genetic data analyses. Finally, we will also initiate a new bursary service, providing funding for 10 course participants to travel to visit a course faculty member of their choice to help initiate or finish a particular project. This will provide an unprecedented collaborative opportunity for course participants and faculty.

Schedule of Events:

**NOTE: You will need Microsoft Silverlight to view videos.

Mon 7/18/2011

Time	Speaker	Topic	Video
08:00 – 08:30	Richard Sarver	Registration
08:30 – 08:45	Hemant Tiwari PhD	Introductory Remarks
08:45 – 09:45	Harold Kincaid PhD	Scientific integrity and misconduct issues
09:45 – 10:00		BREAK
10:00 – 11:00	Gregory Pence PhD	Ethical issues in the design and conduct of human genetic research
11:00 – 11:15		BREAK
11:15 – 12:15	Suzanne M. Leal PhD	Introduction to Genetics & Genomics
12:15 – 01:30		LUNCH
01:30 – 03:00	Warren Ewens PhD	Introduction to Biostatistics
03:00 – 03:15		BREAK
03:15 – 04:15	Jelai Wang	Introduction to ssglabvm, a virtual software lab
04:15 – 06:15	Drs Duarte & de los Campos	Introduction to R & Bioconductor

 

Tue 7/19/2011

Time	Speaker	Topic	Video
08:00 – 09:15	Suzanne M. Leal PhD	Rare Variants & Exome Sequencing
09:15 – 09:30		BREAK
09:30 – 10:45	Carl Langefeld PhD	Design, Analysis and interpretation of GWAS
10:45 – 11:00		BREAK
11:00 – 12:15	Mahlet G. Tadesse PhD	Structural Variation & Human Diseases (CNV Analysis)
12:15 – 01:30		LUNCH
01:30 – 02:45	Faculty	Open Discussion
02:45 – 03:00		BREAK
03:00 – 06:00	Mr. Wang, Patki & Dr. Tadesse	PLINK, GWA-Test Driver, PENNCNV

 

Wed 7/20/2011

Time	Speaker	Topic	Video
08:00 – 09:15	Christina Kendziorski PhD	Processing & Design of Microarray Experiments
09:15 – 09:30		BREAK
09:30 – 10:45	Christina Kendziorski PhD	Processing and design of RNA-seq experiments and systems biology
10:45 – 11:00		BREAK
11:00 – 12:15	Kimberly F Sellers PhD	Analyzing Proteomics Data
12:15 – 01:30		LUNCH
01:30 – 02:45	Faculty	Open Discussion
02:45 – 03:00		BREAK
03:00 – 06:00	Drs. Cui and Zhi	Affy, RMANOVA, POWER ATLAS, Exome Sequence data analysis
07:00 – 09:00	Participants & Faculty	Social and Dinner Heritage 2 – Doubletree by Hilton Birmingham | 808 South 20th St

 

Thu 7/21/2011

Time	Speaker	Topic	Video
08:00 – 09:15	Shili Lin PhD	Epigenomics methods
09:15 – 09:30		BREAK
09:30 – 10:45	Alison Motsinger-Reif PhD	Pharmacogenetics/Pharmacogenomics
10:45 – 11:00		BREAK
11:00 – 12:15	Nicholas J Schork PhD	Next Phase of Human Genetics/ NGS
12:15 – 01:30		LUNCH
01:30 – 02:45	Faculty	Open Discussion
02:45 – 03:00		BREAK
03:00 – 06:00	Mr. Wang & Dr. Lin	Epigenetic Analysis, GWAS Imputation software

 

Fri 7/22/2011

Time	Speaker	Topic	Video
08:00 – 09:15	David Conti PhD	Pathway based approaches for genome-wide association studies
09:15 – 09:30		BREAK
09:30 – 10:00	All Faculty	Open Discussion
10:00 – 12:30	Drs. L. Kelly Vaughan & Conti	Pathways Analysis software
12:30 – 07:00		Lunch & site seeing on your own