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, programmers who are working with funded investigators, 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.

Day 1 – Monday 7/11/16

Time	Speaker	Topic	Video
08:00 – 08:30	Wanda Skipwith/Mary Ann Rice	Registration – Continental Breakfast
08:30 – 08:45	Hemant Tiwari, PhD	Introductory Remarks
08:45 – 09:45	Kyle Brothers, PhD	Part I – Ethical Issues in Medical Research in Human Genetics
09:45 – 10:00		BREAK
10:00 – 11:00	Kyle Brothers, PhD	Part II – Ethical Issues in Research in Human Genetics
11:00 – 11:15		BREAK
11:15 – 12:15	Hemant Tiwari, PhD	Introduction to Statistical Genetics & Genomics
12:15 – 01:30		LUNCH BREAK
01:30 – 03:00	David Redden, PhD	Introduction to Biostatistics
03:00 – 03:15		BREAK
03:15 – 04:45	Jelai Wang	StatGenLab, a virtual machine for genetic data analysis YouTube: Wang Scientific Software Solutions
04:45 – 06:00	Xiangqin Cui, PhD	Introduction to R & Bio-conductor

 

Day 2 – Tuesday 7/12/16 – Continental Breakfast Provided

Time	Speaker	Topic	Video
08:00 – 09:15	Carl Langefeld, PhD	Design, Analysis, and interpretation of GWAS – GWAS (I)
09:15 – 09:30		BREAK
09:30 – 10:45	Carl Langefeld, PhD	X-Chromosome, Imputation to 1000 Genomes – GWAS (II)
10:45 – 11:00		BREAK
11:00 – 12:15	Michael Wu, PhD	Rare Variants Analyses
12:15 – 01:45		LUNCH BREAK
01:45 – 04:30	Michael Wu, PhD., Amit Patki	PLINK, SKAT
06:00 – 08:00	Participants & Faculty	Social Dinner @ Hill Student Center (Ball Room AB) 1400 University Blvd.

 

Day 3 – Wednesday 7/13/16 – Continental Breakfast Provided

Time	Speaker	Topic	Video
08:00 – 09:15	Alison Motsinger-Reif, PhD	Pharmacogenetics/ Pharmacogenomics
09:15 – 09:30		BREAK
09:30 – 10:45	Alison Motsinger-Reif, PhD	Challenges and Importance of Considering Interactions
10:45 – 11:00		BREAK
11:00 – 12:15	Xiangqin Cui, PhD	Transcriptome analyses
12:15 – 01:45		LUNCH BREAK
01:45 – 04:30	Xiangqin Cui, PhD, Vinodh Srinivasasainagendra	Imputation using MACH, RNA-Seq analysis

 

Day 4 – Thursday 7/14/16 – Continental Breakfast Provided

Time	Speaker	Topic	Video
08:00 – 09:15	Hao Wu, PhD	Statistical Epigenomics
09:15 – 09:30		BREAK
09:30 – 10:45	Karen Conneely, PhD	Analysis of DNA Methylation Microarray Data
10:45 – 11:00		BREAK
11:00 – 12:15	Nancy Cox, PhD	Genome X Transcriptome X EMR
12:15 – 01:45		LUNCH BREAK
01:45 – 04:30	Conneely and Wu, PhDs	CpGssoc, NGS Analysis with Bioconductor

 

Day 5 – Friday 7/15/16 – Continental Breakfast Provided

Time	Speaker	Topic	Video
08:00 – 09:15	Purvesh Khatri, PhD	Beyond GWAS: Pathway Analysis and Meta-Analysis
09:15 – 09:30		BREAK
09:30 – 10:45	Nicholas Schork, PhD	Translational Genomics: From Rare Disease Analysis to Cancer Clinical Trial Design
10:45 – 11:00		BREAK
11:00 – 12:15	Hemant Tiwari	Integration of Different Data Domains in Silico for Causal Inference: Challenges and Issues
12:15		Adjourn