NINDS Human Genetics Resource Center

National Institute of Neurological Disorders and Stroke

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The National Institute of Neurological Disorders and Stroke is committed to gene discovery, as a strategy for identifying the genetic causes and correlates of nervous system disorders. The NINDS Human Genetics Resource Center banks samples from subjects with cerebrovascular disease, dystonia, epilepsy, motor neuron disease, Parkinsonism and Tourette Syndrome, as well as population controls. 

Available samples 

Announcements

New Cerebrovascular Disease Samples Available!

More than 1000 African American DNA samples from the REasons for Geographic and Racial Differences in Stroke (REGARDS) project  have been added to the NINDS Human Genetics Resource Center and are available through the catalog to the scientific community. Since 2003, REGARDS, a NINDS funded project, has worked to better understand geographic and ethnic contributions to risk of stroke.

NINDS News

  • Aug 2020

    Kv1.3 modulates neuroinflammation and neurodegeneration in Parkinson’s disease

    In this study, published in The Journal of Clinical Investigation, researchers used NINDS Repository lymphoblastoid cell lines to investigate the role of microglial Kv1.3, a voltage-gated potassium channel, in Parkinson’s Disease (PD) pathology and the transcriptional and posttranslational modifications of this channel in PD models.

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  • Apr 2020

    Defining research priorities in dystonia

    The NIH brought together leaders in dystonia research for a 2-day workshop. The participants addressed the natural history of the disease, the underlying etiology, the pathophysiology, relevant research technologies, research resources, and therapeutic approaches and attempted to prioritize dystonia research recommendations.

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  • Feb 2020

    Integrating Biological Knowledge Into Case–Control Analysis Through Iterated Conditional Modes/Medians Algorithm

    A new empirical Bayes model for logistic regression is presented in this article. NINDS Repository Parkinson's data submitted to dbGaP were used to highlight the advantages of the new method.

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Other News