A statistical testing strategy accounting for random and nonrandom (skewed) X-chromosome inactivation identifies lung cancer susceptibility loci among smokers
The research used 9,261 participants from the CARTaGENE cohort to identify susceptibility loci for lung cancer among current and past smokers. X chromosome-wide statistical analysis identified two SNPs in low-linkage disequilibrium located in the IL1RAPL1 (IL-1 R accessory protein-like) gene: rs12558491 and rs12835699. For both SNPs, the minor allele was associated with lower lung cancer risk.
Evaluation of the accuracy of the PLCOm2012 6-year lung cancer risk prediction model among smokers in the CARTaGENE population-based cohort
This study aimed to validate a tool to predict lung cancer risk using data from CARTaGENE participants. It showed good accuracy in identifying lung cancer risk but underestimated the number of cases. This tool may require calibration adjustments for the Quebec population.
Analyzing cohort studies with interval-censored data: A new model-based linear rank-type test
When analyzing cohort studies with interval-censored data, the researchers suggest that statisticians employ their proposed test to test survival distributions’ quality between two or more groups.