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NIH Precision Medicine Initiative, started in May 2018, will enroll one million people through an online portal. It hopes to identify genetic variants affecting a variety of human phenotypic outcomes. A giant set of data like this may enable an association of genetic variants with a certain phenotype. However, the association is often compromised due to the collection of phenotypic data that is not well controlled or standardized creating "noisy" data. These phenotypic "noises" can be largely eliminated in clinical studies with stringent criteria and standardization of outcome measurements.
In this study, by looking mainly at genetic information and nerve conduction speed, we hope to eliminate the extra "noises" in the data set. Eliminating the extra "noises" should allow us to be able to determine if there are genetic differences between neurological disorders and healthy controls, and if these genetic differences can be attributed to the speed of the nerve conduction.
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Note: This study holds no additional risk for pregnant women and they will not be excluded.
124 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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