The overall analysis strategy is illustrated in Supplementary Figure 1. We first performed a GWAS meta-analysis of adult height using summary statistics from 79 studies consisting of 253,288 individuals of European ancestry (Online Methods). We identified 697 SNPs that reached genome-wide significance (P<5×10−8) using an approximate conditional and joint multiple-SNP (COJO) analysis7 in GCTA8 (Online Methods) which takes linkage disequilibrium (LD) between SNPs into account (Supplementary Table 1; Supplementary Figs. 2–3). The 697 SNPs clustered in 423 loci, with a locus defined as one or multiple jointly associated SNPs located within ±1Mb of each other. Most of these 697 SNPs are uncorrelated although those in close physical proximity (e.g. < 1Mb) may be in partial LD (see Supplementary Table 1 for LD between adjacent pairs of the 697 SNPs). The clustering of signals was non-random (empirical enrichment of 1.4 fold, P<1×10−4) with 90, 26 and 31 loci containing 2, 3 and ≥4 signals respectively, (Supplementary Note and Supplementary Tables 1 and 2). We observed strong evidence of clustering of association signals within loci across a range of locus sizes, from
