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- Special Designs
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1. Family-based association tests: introduction
- Dr. Christoph Lange
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3. Two-stage genome-wide association designs
- Dr. Andrew Skol
- Special Populations
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4. Admixture mapping
- Dr. Paul McKeigue
- Whole-Genome Studies: Types of Data
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5. QTL association mapping
- Prof. Bruce Weir
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6. Adjusting for population structure in genetic association studies
- Prof. David Balding
- Whole-Genome Studies 2: Methods
- Archived Lectures *These may not cover the latest advances in the field
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8. Family-based association tests: FBATs for various data types
- Dr. Christoph Lange
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10. Use of isolated populations: pitfalls and potential
- Dr. Leena Peltonen
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12. Detecting multiple associations in genome-wide studies
- Prof. Frank Dudbridge
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13. Genome scanning by composite likelihood
- Dr. Andrew Collins
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14. Multistage sampling for genetic studies
- Prof. Robert Elston
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16. A survey of multi-locus methods for analysis of large SNP datasets
- Mr. A. Geert Heidema
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17. Sequential analysis methods in genomic scans
- Prof. Michael Province
Printable Handouts
Navigable Slide Index
- Introduction
- Effect of population structure on association (1)
- Effect of population structure on association (2)
- Spurious signals of association
- Genealogy at causal locus (haploid)
- Genome-wide allele sharing due to pedigree
- The cryptic substructure problem
- Generation of spurious associations
- Pre-2006 approaches to population structure
- TDT: pros and cons
- Genomic control (GC)
- Test statistics after genomic control adjustment
- Use of GC adjustment
- GC: pros and cons
- Structured association
- Problems with SA methods
- Detecting individuals with unusual ancestry
- New approaches in 2006: logistic regression
- Simulation study: statistical methods
- Power of different statistical methods
- Simulation with more null markers
- Simulation involving ascertainment bias
- New approaches in 2006: Eigenstrat
- Simulation results for two populations
- Logistic regression with/without PC adjustment
- First 2 PCs ability to capture population structure
- Eigenstrat: pros and cons
- New approaches, 2006: mixed model approach
- Mixed regression model
- Mixed model approach
- Discussion
- Conclusions
- References
Topics Covered
- Effect of population structure in generating spurious associations
- Cause of problem is confounded by pedigree
- Pre-2006 solutions: design based (TDT), genomic control, structured association
- New solutions in 2006: null markers as regression covariates, principal components as regression covariates, linear mixed models using pairwise kinships
Talk Citation
Balding, D. (2007, October 1). Adjusting for population structure in genetic association studies [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved August 31, 2024, from https://doi.org/10.69645/JMBS8511.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. David Balding has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Adjusting for population structure in genetic association studies
Published on October 1, 2007
50 min