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Chunk #5 — RESULTS — Correcting for incomplete LD between SNPs and causal variants

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Common SNPs explain a large proportion of the heritability for human height.
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as proxies for causal variants we found c = 6.2 × 10−6. Using this value of c to correct for incomplete LD, we estimated the proportion of variance in height explained by causal variants to be 0.84 (s.e. = 0.16; Supplementary Table 1). Although the standard error is high, this result is consistent with causal variants being, on average, at lower frequency than the SNPs used on commercial arrays and therefore in less LD with these SNPs than the LD of the SNPs with other SNPs. This does not prove that the causal variants have MAF < 0.1, but it shows that if this were the case, they could explain the estimated heritability of height (~0.8).