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Updated November 2009
Level: Intermediate
Modules: HelixTree
This tutorial leads you through various LD and haplotype analyses in SVS 7. For demonstration purposes, a simulated dataset is used consisting of actual Affymetrix 500K genotypes from the four HapMap populations (Phase II) and a fake case/control status.
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Now that you know how haplotype association testing works on a single-haplotype, perhaps you want to investigate haplotypes on a larger, multi-haplotype scale. For sake of computation time, this tutorial will lead you through haplotype association on chromosome 22 only, though the workflow can be applied directly to the entire genome.
This will create a new subset spreadsheet (HapMapPhenotype Dataset + HapMap 500K Genotypes - Mapped Sheet 3) where only genotypes in chromosome 22 are active.
A new block definition spreadsheet is created (Haplotype blocks, 1381 markers in 549 groups) with a single column representing various markers and the blocks they belong to (Figure 7a).
A new p-value spreadsheet is created, Haplotype Association Tests (Per Block), this time with results for each haplotype block defined across chromosome 22 (Figure 7b).
To see if haplotypes provide additional power in association testing, you can compare haplotype association results side-by-side with single marker association results.
You can change the attributes of the Haplotype –log10 P graph item to differentiate it more from the Single Marker –log10 P graph item.
Notice only the single block defined earlier is displayed in the LD plot. You can add the automatically generated block set from the Graph Control Interface.
You now have a p-value plot with single marker and haplotype association results along with an LD plot of chromosome 22 with automatically defined haplotype blocks.
You can zoom in to any region by left-click and dragging in either graph or on a graph’s x-axis.
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