% (95 % CI [0 %, 26 %], P-value = ns). A possible reason for this difference is that we use more densely distributed SNPs. In addition to the common SNPs overlapping with the HapMap SNPs used by Verweij and colleagues (about 2.4 million common SNPs with MAF > 5 %), we included into analysis previously untagged common GVs, and other (than common) GVs, such as low-frequency variants (about 6 million SNPs having MAF > 1 %). More densely distributed SNPs are expected to be in higher LD with the causal variants, and so, to provide a more accurate heritability estimate (Visscher et al. 2010).
