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Endophenotype-based in silico network medicine discovery combined with insurance record data mining...

Endophenotype-based in silico network medicine discovery combined with insurance record data mining...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9097949

Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's disease

About this item

Full title

Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's disease

Publisher

United States: Nature Publishing Group

Journal title

Nature aging, 2021-12, Vol.1 (12), p.1175-1188

Language

English

Formats

Publication information

Publisher

United States: Nature Publishing Group

More information

Scope and Contents

Contents

We developed an endophenotype disease module-based methodology for Alzheimer's disease (AD) drug repurposing and identified sildenafil as a potential disease risk modifier. Based on retrospective case-control pharmacoepidemiologic analyses of insurance claims data for 7.23 million individuals, we found that sildenafil usage was significantly associ...

Alternative Titles

Full title

Endophenotype-based in silico network medicine discovery combined with insurance record data mining identifies sildenafil as a candidate drug for Alzheimer's disease

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9097949

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9097949

Other Identifiers

ISSN

2662-8465

E-ISSN

2662-8465

DOI

10.1038/s43587-021-00138-z

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