Fig. 1: Oncogenic mutations are associated with BMI.

a, Statistical association between continuous BMI and genotype across gene–cancer type pairs. The −log₁₀(P values) and estimated sizes from univariate logistic regression are on the y and x axes, respectively. Statistically significant pairs are in black. b, Multivariate regression demonstrating that BMI categories (underweight, BMI < 18.5 kg m⁻²; healthy, 18.5 ≤ BMI < 25 kg m⁻²; overweight, 25 ≤ BMI < 30 kg m⁻²; obese, BMI ≥ 30 kg m⁻²) are associated with KRAS mutations independent of other clinical factors. Results for multivariate regression with BMI as a continuous variable are shown in Supplementary Table 3. Error bars represent the 95% confidence interval (CI). c, KRAS mutation frequency in patients with lung adenocarcinoma categorized by BMI and genetic ancestry. ASJ, Ashkenazi Jewish; EAS, East Asian; EUR, European. Error bars represent the s.e. d, EGFR (top) and KRAS (bottom) mutation frequency in BMI categories in the MSKCC cohort. Error bars represent the s.e. e, EGFR (top) and KRAS (bottom) mutation frequency in BMI categories in the DFCI cohort. Error bars represent the s.e. f, EGFR (top) and KRAS (bottom) are not associated with weight loss before cancer diagnosis in lung adenocarcinoma using the χ² test.