Accelerated cellular aging is known to play an important role in the etiology of phenotypes associated with developmental programming, such as cardiovascular disease and type 2 diabetes. Telomere length analysis is a powerful tool to quantify cellular aging. Here we describe a telomere length methodology, refined to quantify discrete telomere length fragments. We have shown this method to be more sensitive in detecting small changes in telomere length than the traditional average telomere length comparisons.