Publications by authors named "H E Wichmann"
Background: Increased lung cancer risks for low socioeconomic status (SES) groups are only partially attributable to smoking habits. Little effort has been made to investigate the persistent risks related to low SES by quantification of potential biases.
Methods: Based on 12 case-control studies, including 18 centers of the international SYNERGY project (16,550 cases, 20,147 controls), we estimated controlled direct effects (CDE) of SES on lung cancer via multiple logistic regression, adjusted for age, study center, and smoking habits and stratified by sex.
Article Synopsis
- * The newly developed multi-ancestry PRS showed a strong correlation with LUAD risk, indicating that individuals in the highest PRS percentile had significantly increased risk compared to those in the lowest.
- * Findings suggest that those in the highest risk category have a lifetime risk of about 6.69%, and they reach the average population's 10-year risk for LUAD by age 41, highlighting the importance of multi-ancestry PRS for better risk assessment in this group.
Objective: To assess risk factors associated with loss to follow up in patients referred for colposcopy after abnormal cervical cytology during pregnancy in a Southern safety net hospital population.
Methods: An urban colposcopy center was queried for patients referred for follow up of abnormal cervical cytology during pregnancy and the postpartum period. Patients were identified through a standardized referral code in the electronic medical record.
Background: Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored.
Methods: Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different genetic risk subgroups based on the relationship between their own PRS mean/PRS CI and the population level threshold.
Article Synopsis
- The study assessed how different dimensions of the quantitative job-exposure matrix (SYN-JEM) impact the correlation between silica exposure and lung cancer risk, using data from 16,901 lung cancer cases and 20,965 controls from global studies.
- The analysis revealed that including all dimensions of SYN-JEM resulted in the best fit for predicting lung cancer odds, while omitting job-specific estimates led to a poor model fit.
- The findings suggest that to accurately model the exposure-response relationship between silica and lung cancer, it’s crucial to use all relevant factors, including job specifics, time, and region in the analysis.