| 1. Define MAF threshold = M.
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| 2. Identify all SNPs with MAF > M.
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| 3. Calculate pairwise r2 values for all included SNPs.
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| 4. Define r2 threshold = R.
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| 5. Identify all pairwise associations where r2 > R.
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| 6. Identify SNP with highest number of associations with r2 > R.
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| 7. Extract the SNP from Step 6 and all additional SNPs captured for evaluation. |
| 8. Examine pairwise r2 for the subset of extracted SNPs.
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| 9. All SNPs with r2 > R with all other extracted SNPs are potential tagSNPs.
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| 10. Select a single tagSNP from the set of potential tagSNPs (potentially including information about biology, ease of genotyping,
or other ranking criteria).
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| 11. Repeat from Step 5, restricting considerations to untagged SNPs. |
| 12. Any SNPs not captured by other SNPs are defined as singletons. |
