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Lung cancer risk among smokers is known to be dependent on smoking dose, however, the increased risk is unknown to be related to an increased rate of somatic mutation accumulation in normal lung cells. To understand the somatic mutation accumulation, single cell whole genome sequencing of proximal bronchial basal cells was used to compare the rates of mutation accumulation. To isolate PBBC single nuclei, cells were lysed, and nuclei were seeded on the CellRaft Array for single nuclei isolation using the AIR System. Whole genome sequencing was performed and then analyzed. Known lung cancer-defined mutation signatures tracked with age and smoking. Using the CellRaft Arrays to isolate nuclei, this study was able to observe mutation frequencies leveling off in heavy smokers suggesting intrinsic factors to attenuate lung cancer risk by reducing mutations.