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A logistic regression was performed using threshold of association (associated or potentially associated) as the independent variable and rat genome location (ortholog of a rat mammary cancer risk locus or a randomly selected locus) as the dependent variable.

Thus, we chose 0.01 and 0.05 as the threshold of association analysis, in order to detect possible markers associated with GPC.

Hence, we set the threshold of association analysis to 0.05, so as to detect possible markers associated with GPC.

Threshold of association was not a significant effect (P-value = 0.54).

We considered a nominal threshold of association (P < 0.05) for evaluating a shared genetic background in the 68 candidate genes to MDD between the two study populations.

To make predictions, single-nucleotide polymorphisms (SNPs) that meet a predefined statistical significance threshold of association with the trait are considered and a genetic score is constructed by adding the estimated effects of the alleles each individual carries for these SNPs (12).

Similar(54)

In the current pooled analysis, a threshold pattern of association was observed, with an increased risk being seen only at the highest vitamin D concentrations (≥100 nmol/L), which corresponds to the top 2.3% of the distribution in the controls.

We used instead very conservative thresholds of associations.

A moderate threshold of suggestive association was employed here to maximize the power and the chance to discover novel associations within these candidate genes.

Apart from the SNP rs9271850 (P=3.67 × 10−23, OR=0.12 (0.08–0.18)) located in the HLA locus, we observed four variants (MAF>0.25) at four loci that reached the threshold of suggestive association (P<1 × 10−4; Figure 1 and Table 3).

Using a threshold for association of p=10−4, approximating to a false discovery rate of 0.01, we found five SNP (rs16854453, rs10936599, rs11709840, rs1920116, rs10936603) to be associated with telomere length (table 1).

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