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For example, to detect a rare marker (of frequency 10%) associated with a 1.3 times increased risk of breast cancer (Odds Ratio = 1.3) with a power of 80% and type I error of 0.5%, we would need a sample size of 2400 patients and controls.
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Secondary objectives included comparing markers of frequency of hypoglycemia, time within the target range of 3.9 10 mmol/L, and average glycemic control on CLC versus OL.
The second is the rate of change of ln(Rf(t)) with time, that is, τe sets the time of divergence of marker frequency and αe the rate of divergence.
To achieve 80% power to replicate this association in follow-up studies (assuming D' = 0.80, QTL allele frequency of 0.20, marker allele frequency of 0.30, α level of 10−4, no between-study heterogeneity or other potential biases), a larger sample of at least 6,000 subjects is needed.
Furthermore, the association between frequency of escape and relative hazard predicted by our hypothesis, as well as being confirmed in a large (N = 150) cohort (P = 0.001), was also confirmed using an alternative method in two large independent cohorts (P = 0.006, P = 0.0007) using two surrogate markers of the frequency of escape.
Taken together, these data suggest that these novel biomarkers perform well as quantitative markers of the frequency of recent alcohol intake (i.e. within ~1-3 days) in aetiological epidemiological research.
The dependence of the relationship between PAF and λs on the frequency of the marker, the frequency of the causative allele, the inheritance mode of the causative allele and the extent of linkage disequilibrium is presented in the supporting information.
In Table 3 column 2, we calculated this percentage assuming the use of 30 DIP STR markers of allele frequencies similar to the ones already developed (I = 0.32).
On the other hand, with larger sample size (2000 or more) IgC2N has 80% or more power to detect similar CNVs (in terms of size of the CNV and number of covering markers) with frequency of 1% or more.
The resulting distributions of marker frequency from the small randomly chosen groups were plotted and compared to the results from the analysis performed on the complete set of 50 individuals.
As compared to 2.1% marker loss frequency of the entire DGRH1 panel, this selected panel of 399 lines had an average marker loss frequency of 9.9%.
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