Sophomore Seminar
Seminar Resources
Genome Wide Association Studies Slides
GWAS Catalog
Other Presentations
A Decade with the Human Genome Sequence http://www.genome.gov/27542738
YouTube Webcast http://www.youtube.com/view_play_list?p=83E4AA06F02F0DB2
Emmanuel Mignon GWAS for Narcolepsy in Children Grand Rounds https://lane.stanford.edu/secure/edtech/?v=summer2015auth/video/grpeds-10-02-2015-08r.mp4
Recent Literature References
Other Literature References
How to Use an Article About Genetic Association: A: Background Concepts John Attia; John P. A. Ioannidis; Ammarin Thakkinstian; et al. JAMA. 2009;301(1):74-81
How to Interpret a Genome-wide Association Study. Thomas A. Pearson; Teri A. ManolioJAMA. 2008;299(11):1335-1344
Human genetics: Hit or Miss Chi, K. R. Nature 461, 712-714 (2009).
The Genomics Gold Rush. Eric J. Topol; Sarah S. Murray; Kelly A. Frazer JAMA. 2007;298(2):218-221
The Genome Gets Personal: Almost. W. Gregory Feero; Alan E. Guttmacher; Francis S. Collins JAMA. 2008;299(11):1351-1352
Mapping Genes for NIDDM: Design of the Finland–United States Investigation of NIDDM Genetics(FUSION) Study. Valle et al. DIABETES CARE, VOLUME 21, NUMBER 6, JUNE 1998
Romeo, et al.(2008) Genetic Variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nature Genetics 40, 1461-1465,
The Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared control. Nature 447, 661-678 (7 June 2007)
Manolio, T.A. et. al.,(2009) Finding the missing heritability of complex diseases. Nature 461, 747-753.
Dickson, S. P.. et al. (2010) Rare Variants Create Synthetic Genome-Wide Associations. PLOS Biology 8, 1-12.
Johansen et al. (2010) Excess of rare variants in genes identified by genome-wide association study of hypertriglyceridema. Nature Genetics 42, 684-7.
Genetic Heterogeneity in Human Disease. McCellan and King. 2010
Lectures Available only to Stanford Students
Henry Stewart Talks
Statistical Methods for the Analysis of Genome-Wide Association Studies
Practical advice and guidance
Designing a genome-wide association study (31 mins Dr. Chris Spencer – University of Oxford, UK
Genotyping algorithms for genome wide association studies (49 mins) Dr. Vincent Plagnol – University of Cambridge, UK
Quality control measures for GWAS (20 mins) Dr. Jeffrey Barrett – University of Cambridge, UK
Statistical tests for association (35 mins) Dr. Andrew Morris – University of Oxford, UK
Population structure in genome-wide association studies (32 mins) Dr. Dan Davison – University of Oxford, UK
Imputing genotypes in genome-wide association studies (20 mins) Dr. Jonathan Marchini – University of Oxford, UK
Assessing significance in genome-wide studies (58 mins) Dr. David Evans – University of Bristol, UK
Copy number variation and association studies (31 mins) Dr. Don Conrad – Wellcome Trust Sanger Institute, Cambridge, UK
Meta-analysis in genome-wide association studies: application to type 2 diabetes (27 mins) Dr. Eleftheria Zeggini – University of Oxford, UK