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. 2016 Jan 30;26(9):2183–2189. doi: 10.1007/s11695-016-2072-9

Table 2.

Genetic variances included in GRS models

SNP Gene Minor allele Reported effect allele Risk allele/weight loss lowering allele MSE (%)
GRSwBMI, weighted BMI rs571312 MC4R A A C 23.16
rs3810291 TMEM160 G A G 19.65
rs1555543 PTBP2 A C A 18.58
rs206936 NUDT3 G G G 17.58
rs987237 TFAP2B G G G 17.49
rs4836133 ZNF608 A A A 17.12
rs2241423 MAP2K5 A G G 13.10
GRSwWHR, weighted WHR rs1443512 HOXC13 A A A 13.15
rs4846567 LYPLAL1 A G G 11.24
rs1011731 DNM3-PIGC G G A 10.32

The listed single nucleotide polymorphisms (SNP) induced a mean squared error (MSE) above 10 % in the random forest model. These variants were subsequently included in the respective GRS model (weighted BMI model (GRSwBMI) and weighted waist-hip ratio model (GRSwWHR)). Those alleles were defined as risk alleles that contributed least to the weight loss following Roux-en Y gastric bypass surgery. Interestingly, the A allele of the TMEM160-related SNP rs3810291 was reported to be associated with higher BMI by Speliotes et al. In our study, the allele, G, is associated with EBMIL