Registration for a live webinar on 'Precision medicine treatment for anticancer drug resistance' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
Printable Handouts
Navigable Slide Index
- Introduction
- The problem of population structure
- How population structure can lead to confounding
- Different disease rates lead to mismatching...
- ...and this can lead to false positive associations
- Cancer rates per 100,000 individuals
- Allele frequencies can vary across populations
- Similar problem can occur in admixed populations
- How serious is this problem in practice?
- Solutions
- Unlinked markers as control loci
- Two-stage analysis
- Study design (continued)
- Test for mismatching of case-control samples
- Comments on the test for mismatching
- The "genomic control" approach
- Comments on genomic control
- The "structured association" approach
- Typical data
- Structure: the basic model
- Ancestry of individuals
- More on the model...
- Example: application to data
- Map of populations
- Inferred population structure
- Inferred population structure - regions
- Genetic variation among groups
- Applying this to association mapping...
- Using population information: "STRAT"
- Distribution of p-values under the null
- Comments on structured association
- Marker selection
- Inferred population structure
- Similarity coefficients to runs that use all the data
- Similarity of runs at the regional level
- How many markers? (summary)
- How should I choose the markers?
- Informativeness measure
- Population structure using subsets of loci
- Cumulative fraction of information
- How to select markers? (summary)
- Wrap-up
- Acknowledgements and resources
Topics Covered
- Population structure and false positives in case-control studies of association
- Family-based solutions and the TDT
- Limitations of family-based solutions
- Detecting population structure
- Correcting for structure
- Structured association and genomic control
- Use of unlinked marker loci
Talk Citation
Pritchard, J. (2004, September 1). Detecting and correcting for population structure in genetic case-control studies [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 21, 2024, from https://doi.org/10.69645/DVAU8827.Export Citation (RIS)
Publication History
Financial Disclosures
- Dr. Jonathan Pritchard has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Detecting and correcting for population structure in genetic case-control studies
A selection of talks on Methods
Hide