Genome-wide Association Studies of Substance Use and Use Disorder Where to find them, and what to do with them
Abstract: This presentation will guide attendees with how to access genomewide association study summary statistics, and showcase resources available for annotating these summary data for follow-up analyses, including gene-based analyses, eQTL and epigenetic annotation as well as causal variable analysis. We will guide attendees through components of a GWAS summary dataset and two excellent resources - FUMA and MASSIVE - that use these summary files as inputs to generate vast amounts of annotations that can be brought forward to answer translational research questions.
Supported by: NIH/NIDA R01DA054869; T32DA007261; K02DA032573
Presented by:
Dr. Alexander S. Hatoum
Department of Psychiatry
Washington University School of Medicine
Beginner’s guide to bulk RNA-Seq Analysis
Goals of this webinar:
The use of high throughput short read RNA sequencing has become common place in many scientific laboratories. The analysis tools for quantitating a transcriptome have matured becoming relatively simple to use. The goals of this webinar are:
To give a general overview of the popular Illumina technology for sequencing RNA.
To outline several of the key aspects to consider when designing a RNA-Seq study
To provide guidance on methods and tools for transforming reads to quantitative expression measurements.
To describe statistical models that are typically used for differential expression and why these specialized models are needed.
Presented by:
Dr. Laura Saba
Associate Professor
Department of Pharmaceutical Science
Skaggs School of Pharmacy and Pharmaceutical Sciences
University of Colorado Anschutz Medical Campus
Introduction to Weighted Gene Coexpression Network Analysis
Goals of this webinar:
Introduction and motivation for co-expression network analysis
Basics of weighted gene coexpression network analysis
Step-by-step guide to WGCNA using the wgcna package in R.
Presented By:
Laura Saba, PhD
Associate Professor
Department of Pharmaceutical Sciences
University of Colorado Anschutz Medical Center
Introduction to expression (e)QTL and their role in connecting QTL to genes and molecular networks
Goals of this webinar (QTL to gene/molecular networks):
Define eQTL
Examine the role of eQTL in the relationship of genes and molecular networks with phenotypic QTL
eQTL for co-expression networks
Presented by:
Dr. Laura Saba
Associate Professor
Department of Pharmaceutical Sciences
University of Colorado Anschutz Medical Campus
Introduction to Quantitative Trait Locus (QTL) Mapping
Presented By:
Saunak Sen
Professor and Chief of Biostatistics
Department of Preventive Medicine
University of Tennessee Health Science Center
sen@uthsc.edu ~ @saunaksen ~ http://www.senresearch.org
Goals of Webinar:
What is a quantitative trait locus (QTL)?
Why are we interested in them?
What are genome scans and how do they help find QTL?
What are the strengths and limitations of QTL mapping?