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Chunk #41 — ONLINE METHODS — Statistical analysis

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Genome partitioning of genetic variation for complex traits using common SNPs.
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We further partitioned the variance explained by all the SNPs onto genic and intergenic regions of the whole genome ( hGg2 and hGi2) as well as that of each chromosome ( hCg2 and hCi2). The gene boundaries were defined as ± dg Kb away from the 3′ and 5′ UTRs. We estimated hGg2 and hGi2 by fitting all the genic and intergenic SNPs in an MLM y = Xβ + gGg + gGi + ε, and estimated hCg2 and hCi2 by fitting the genic and nongenic SNPs on individual chromosomes in the model y=Xβ+∑C=122gCg+∑C=122gCi+ε.