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Locus ALD_R showed a positive association with longitude when using the restricted data set with 7 locations (p = 0.016).
When using the restricted data set with 7 locations, a further outlier was also identified, ALD_R (p = 0.000).
When using the restricted data set with 7 locations, ALD_R was also identified as outlier in addition to GAPDH_20355, showing a high FST value of 0.091 and a positive alpha coefficient.
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Using this restricted data set, we reached the same conclusions as before (supplementary fig. 3, Supplementary Material online).
Note that results obtained using data without undergoing the last step were qualitatively similar to those obtained using the most restricted data.
We have found that our results are replicated when using this restricted data-set.
To investigate the impact of follow-up duration on the statistical analyses, multivariate logistic regression analyses were used to explore prognostic factors using restricted data until 1, 2, and 3 years of follow-up.
Furthermore, the prognostic impact of the above general and tumor-related factors were also assessed using restricted data until 1, 2, and 3 years of follow-up in order to investigate the impact of follow-up duration on statistical analyses of prognostic factors.
This information can be used to further restrict data tables to genes in a (specific) regulatory network.
Cut down on data use if you're on a restricted data plan.
The specific vulnerabilities of people in need might require, however, a very restrictive data policy for their own protection that in many instances should comply with medical standards of restricted data use and deletion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com