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Table 1.

Mutation data for the Ms6-hm locus summarized for cigarette- and sham-exposed mice

Treatment*No. mutantsNo. progenitorsMutation frequencyRatio relative to sham§P
Sham (6 wk) 24 679 (629–731) 3.53% (3.28%, 3.81%)   
Smoke-exposed (6 wk) 39 766 (713–821) 5.09% (4.75%, 5.47%) 1.44 (0.87, 2.39) 0.1982 
Sham (12 wk) 24 603 (555–652) 3.98% (3.68%, 4.32%)   
Smoke-exposed (12 wk) 42 663 (613–714) 6.33% (5.88%, 6.85%) 1.69 (1.05, 2.73) 0.0442 
Sham (total) 48 1,281 (1,212–1,352) 3.74% (3.55%, 3.96%)   
Smoke (total) 81 1,428 (1,355–1,503) 5.67% (5.39%, 5.98) 1.56 (1.10. 2.21) 0.0214 
Treatment*No. mutantsNo. progenitorsMutation frequencyRatio relative to sham§P
Sham (6 wk) 24 679 (629–731) 3.53% (3.28%, 3.81%)   
Smoke-exposed (6 wk) 39 766 (713–821) 5.09% (4.75%, 5.47%) 1.44 (0.87, 2.39) 0.1982 
Sham (12 wk) 24 603 (555–652) 3.98% (3.68%, 4.32%)   
Smoke-exposed (12 wk) 42 663 (613–714) 6.33% (5.88%, 6.85%) 1.69 (1.05, 2.73) 0.0442 
Sham (total) 48 1,281 (1,212–1,352) 3.74% (3.55%, 3.96%)   
Smoke (total) 81 1,428 (1,355–1,503) 5.67% (5.39%, 5.98) 1.56 (1.10. 2.21) 0.0214 

NOTE: Fold-change values were calculated using the generalized linear model and can give slightly different values compared to estimates calculated by pooling samples.

*

Five mice were used in each treatment. Animals were held for 6 wks following the last day of exposure to collect cells that were pre-meiotic stem cells during the exposure from the caudal epidydimus. Sham and smoke refer to the pooled totals for all sham and smoke samples, respectively.

The estimation of the number of progenitor molecules was determined from the number of positive PCR products generated using the Poisson distribution, pooling across samples. Predicted as well as the lower-upper range of the number of molecules tested, and mutation frequency.

The average mutation frequency is given. Numbers in brackets indicate the uncertainty resulting from the estimate derived for the number of progenitors scored.

§

The ratios of the samples versus shams are given with 95% confidence intervals (calculated using a generalized linear model).

P < 0.05, statistically significant (generalized score statistic).

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