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Characterizing the Clinical and Genetic Spectrum of Polycystic Ovary Syndrome in Electronic Health Records.

Ky'Era V Actkins | Kritika Singh | Donald Hucks | Digna R Velez Edwards | Melinda Aldrich | Jeeyeon Cha | Melissa Wellons | Lea K Davis
The Journal of clinical endocrinology and metabolism | 2021

Polycystic ovary syndrome (PCOS) is one of the leading causes of infertility, yet current diagnostic criteria are ineffective at identifying patients whose symptoms reside outside strict diagnostic criteria. As a result, PCOS is underdiagnosed and its etiology is poorly understood.

Pubmed ID: 32961557

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM007628
  • Agency: NIMHD NIH HHS, United States
    Id: U54 MD010722
  • Agency: NHLBI NIH HHS, United States
    Id: U19 HL065962
  • Agency: NCRR NIH HHS, United States
    Id: S10 RR025141
  • Agency: Doris Duke Charitable Foundation, United States
    Id: 2020063
  • Agency: NICHD NIH HHS, United States
    Id: R01 HD074711
  • Agency: NIGMS NIH HHS, United States
    Id: RC2 GM092618
  • Agency: NIGMS NIH HHS, United States
    Id: P50 GM115305
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG006378
  • Agency: NIGMS NIH HHS, United States
    Id: R25 GM059994
  • Agency: NIDDK NIH HHS, United States
    Id: T32 DK007061
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR000445
  • Agency: NCRR NIH HHS, United States
    Id: UL1 RR024975
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS032830
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG004798
  • Agency: NCATS NIH HHS, United States
    Id: UL1 TR002243

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This is a list of tools and resources that we have found mentioned in this publication.


Vanderbilt BioVU (tool)

RRID:SCR_004632

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. BioVU is a research resource providing a View into biology at the level of DNA and other important macromolecules. BioVU has two major components. The first is a repository of DNA samples (extracted from discarded blood samples) that are coded solely by a Research Unique Identifier (RUI) derived from the Medical Record Number (MRN) using a one-way hash function. This is a computer algorithm that creates a transformation of each MRN such that the resulting RUI (which is in this instance is a 512 byte identifier) is unique, and has the property that it is not possible to infer or compute the MRN that generated it. As of early 2009, over 50,000 DNA samples were in the biobank, with new samples being added at the rate of approximately 700 per week. The second component of the resource is the creation of a database known as the Synthetic Derivative which is a collection of de-identified information extracted from VUMC''s electronic clinical information systems, indexed by the same one-way RUI used to track samples, and with content changed by deletion or permutation of all identifiers contained within each record. The Synthetic Derivative search interface is available to Vanderbilt researchers via the StarBRITE research portal created and maintained by the Vanderbilt Institute for Clinical and Translational Research. This user interface enables investigators meeting protocol approval criteria and other user agreement requirements to receive protocol-specific sets of data derived from DNA samples and from the Synthetic Derivative.

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