“…In our study, to achieve a power of not less than 80%, the SNPs which were reported significantly associated with BMI or WC in GWAS (P ≤ 10 × 10 − 8 ) and minor allele frequencies N 0.10 in Chinese population in the HapMap database, were selected. Nineteen SNPs (rs6548238(TMEM18) (Willer et al, 2009), rs10838738(MTCH2) (Willer et al, 2009), rs10938397(GNPDA2) (Willer et al, 2009), rs11084753(KCTD15) (Willer et al, 2009), rs2815752(NEGR1) (Willer et al, 2009), rs2605100(LYPLAL1) (Lindgren et al, 2009), rs545854(MSRA) (Lindgren et al, 2009), rs987237(TFAP2B) (Lindgren et al, 2009), rs17782313(MC4R) (Meyre et al, 2009), rs2241423(MAP2K5) (Speliotes et al, 2010), rs4929949(RPL27A) (Speliotes et al, 2010), rs6265(BDNF) (Thorleifsson et al, 2009), rs543874(SEC16B) 32, rs7647305(ETV5) (Thorleifsson et al, 2009), rs16933812(PAX5) (Graff et al, 2013), rs9356744(CDKAL1) (Wen et al, 2012), rs2796749(AMD1) (Tabassum et al, 2012), rs9299(HOXB5) (Bradfield et al, 2012) and rs9568856(OLFM4) (Bradfield et al, 2012)) were included in this study (Supplementary Table 1).…”