Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Association between APOL1 risk variants and the occurrence of sepsis in Black patients hospitalized with infections: a retrospective cohort study.

Lan Jiang | Ge Liu | Annette Oeser | Andrea Ihegword | Alyson L Dickson | Laura L Daniel | Adriana M Hung | Nancy J Cox | Cecilia P Chung | Wei-Qi Wei | C Michael Stein | Qiping Feng
eLife | 2023

Two risk variants in the apolipoprotein L1 gene (APOL1) have been associated with increased susceptibility to sepsis in Black patients. However, it remains unclear whether APOL1 high-risk genotypes are associated with occurrence of either sepsis or sepsis-related phenotypes in patients hospitalized with infections, independent of their association with pre-existing severe renal disease.

Pubmed ID: 37882666

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: NHLBI NIH HHS, United States
    Id: R01 HL163854
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM120523
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL133786
  • Agency: NIGMS NIH HHS, United States
    Id: R01GM120523
  • Agency: NIGMS NIH HHS, United States
    Id: R35GM131770
  • Agency: NIGMS NIH HHS, United States
    Id: R35 GM131770
  • Agency: NHLBI NIH HHS, United States
    Id: R01HL163854

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

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.

View all literature mentions