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subdownloader-22.214.171.124-1.2 is a file manager and video download utility that permits you to. Subdownloader Premium is the optimal download manager for Windows.Patient matching
Matching patients to normal controls is an important step in the statistical analysis of candidate causal genetic variants. It is also a fundamental part of statistical modeling used to estimate the effect of genetic variants on the disease.
Patient matching aims to create pairs of subjects with similar characteristics.
Let’s consider a comparison between a patient with disease X and a normal control without disease. The first patient is a 55-year-old African American male who was diagnosed with the disease, has a body mass index (BMI) of 27, and has a family history of the disease. The second patient is a 55-year-old Caucasian female who is also healthy, has a BMI of 23, and has a family history of the disease.
From these two patients, we can clearly see that they are not identical. Let’s describe them in a table:
To match these patients to a control, a table of genomic markers is created that describes the patients for all potential characteristics. For instance, for the first patient, we could write something like this:
For the second patient, we would do something like:
We can therefore combine these tables to form a single table describing the 2 patients and a control. We would then add a new column to the first table describing the characteristics of the control. In this example, that would mean that the table would look like this:
The characteristics of the control are written in the same row as the characteristics of the patient to which it is being matched. To find the set of characteristics of the control that match the patient, we use a query like this:
Where? is a placeholder for the patient of interest. Once this query is calculated, we can use a query like this to create a pair of new
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