supplementary materials for "early-life exposure to tobacco, genetic susceptibility, and accelerated biological aging in adulthood" by feipeng cui et al. include supplementary texts 1 and 2, tables s1-s13, and figures s1-s3. supplementary text 1 describes the air pollution measurement using land use regression (lur) model, which estimates individual exposure levels based on geographic information system (gis) data. the model was validated using leave-one-out cross-validation, with r² values ranging from 77% to 88% for four air pollutants. annual average concentrations of pm10 and no2 were averaged across multiple years, while pm2.5 and nox had single-year data. supplementary text 2 provides code for accelerated biological aging estimation, using biomarkers from the uk biobank. the code calculates kdm (knockout disease markers) and phenoge (phenotypic age) scores, then estimates biological age acceleration based on age. tables s1-s13 summarize associations between in-utero tobacco exposure, smoking initiation age, and biological aging, adjusting for various covariates. table s1 compares characteristics between the total population and included participants. tables s2-s13 present results of different models, adjusting for age, sex, ethnicity, birthplace, and other factors. figures s1-s3 show correlations between chronological age, biological age, and age acceleration, as well as flowcharts and directed acyclic graphs for study participant selection and confounder analysis. abbreviations include icd and opcs.supplementary materials for "early-life exposure to tobacco, genetic susceptibility, and accelerated biological aging in adulthood" by feipeng cui et al. include supplementary texts 1 and 2, tables s1-s13, and figures s1-s3. supplementary text 1 describes the air pollution measurement using land use regression (lur) model, which estimates individual exposure levels based on geographic information system (gis) data. the model was validated using leave-one-out cross-validation, with r² values ranging from 77% to 88% for four air pollutants. annual average concentrations of pm10 and no2 were averaged across multiple years, while pm2.5 and nox had single-year data. supplementary text 2 provides code for accelerated biological aging estimation, using biomarkers from the uk biobank. the code calculates kdm (knockout disease markers) and phenoge (phenotypic age) scores, then estimates biological age acceleration based on age. tables s1-s13 summarize associations between in-utero tobacco exposure, smoking initiation age, and biological aging, adjusting for various covariates. table s1 compares characteristics between the total population and included participants. tables s2-s13 present results of different models, adjusting for age, sex, ethnicity, birthplace, and other factors. figures s1-s3 show correlations between chronological age, biological age, and age acceleration, as well as flowcharts and directed acyclic graphs for study participant selection and confounder analysis. abbreviations include icd and opcs.