Digital biobanks are underutilized in dermatology and create opportunities to reduce the burden of skin disease

Author:

Jumonville Ghislaine1ORCID,Hong David2ORCID,Khan Atlas3ORCID,DeWan Andrew4ORCID,Leal Suzanne M56ORCID,Weng Chunhua7ORCID,Petukhova Lynn18ORCID

Affiliation:

1. Department of Epidemiology (Mailman School of Public Health)

2. Columbia College

3. Medicine Departments of 3

4. Department of Chronic Disease Epidemiology, Center for Perinatal, Pediatric and Environmental Epidemiology, Yale University , New Haven, CT , USA

5. Center for Statistical Genetics (Gertrude H. Sergievsky Center, Taub Institute for Alzheimer’s Disease and the Aging Brain)

6. Department of Neurology, Columbia University , NY , USA

7. Biomedical Informatics

8. Dermatology (all in the Vagelos College of Physicians & Surgeons)

Abstract

Digital biobanks that integrate genetic data with health data captured by digital sources are used routinely to discover genes, biomarkers, gene–environment interactions and pharmacogenetic relationships across many clinical areas. There remain many opportunities in dermatology to further use biobank data to increase our knowledge about the genetic architecture of skin disease, to resolve disease mechanisms that can be modulated by medical interventions and to discover genetically derived disease relationships that inform on drug repurposing and adverse events. Such knowledge promises to reduce the global burden of skin disease and facilitates the development of tailored medical care.

Funder

NCATS

NIAMS

Precision Medicine Initiative

Herbert Irving Comprehensive Cancer Center and the Data Science Institute

Publisher

Oxford University Press (OUP)

Subject

Dermatology

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