We used two sample t tests to compare mean baseline values of continuous variables in people who developed diabetes and those who did not. Where appropriate, we log transformed variables and present geometric means and approximate standard deviations. We used the χ2 test to compare categorical variables. We assessed the association of each genotype with risk of diabetes by logistic regression analysis and summarised the data by odds ratios and 95% confidence intervals. We used published regression coefficients to calculate the Cambridge type 2 diabetes risk score and Framingham offspring study type 2 diabetes risk score for each participant.7 8 In addition, we calculated two genetic scores. In the first, we assigned each person a score based simply on the number of risk alleles carried. Thus for CDKAL1, CDC123/CAMK1D, FTO, HNF1A, IGFBP2, KCNJ11, NOTCH2, TCF2, TCF7L2, TSPAN8/LRG5, and VEGFA, we coded genotypes “0” for common allele homozygotes,11 “1” for heterozygotes, and “2” for rare allele homozygotes,22 and for ADAMTS9, BCL11A, CALPN10, CDKN2A/2B, HHEX, JAZF1, PPARG, SLC30A8, and THADA, coding was “2” for common allele homozygotes and “0” for rare allele
