Evidence map›Paper›PMID 38699347›Full record

ArticleResearch square2024

Shared etiology of Mendelian and complex disease supports drug discovery.

Panagiotis N Lalagkas, Rachel D Melamed

Abstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Panagiotis N LalagkasUniversity of Massachusetts Lowell.
Rachel D MelamedUniversity of Massachusetts Lowell.

Funding

Integrating genetics and health data to discover common drug effects on cancer and Alzheimer's diseaseR35GM151001 · NIGMS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI Rachel Dania Melamed · 2023 to 2026
$1.5M
Using clinical data to identify FDA-approved drugs for cancer prevention and therapeutic repurposingK01ES028055 · NIEHS · UNIVERSITY OF MASSACHUSETTS LOWELL · PI MELAMED, RACHEL DANIA · 2017 to 2020
$500k
NIEHS NIH HHS K01 ES028055NIGMS NIH HHS R35 GM151001
6 · The paper itself

Abstract

Background: Drugs targeting disease causal genes are more likely to succeed for that disease. However, complex disease causal genes are not always clear. In contrast, Mendelian disease causal genes are well-known and druggable. Here, we seek an approach to exploit the well characterized biology of Mendelian diseases for complex disease drug discovery, by exploiting evidence of pathogenic processes shared between monogenic and complex disease. One way to find shared disease etiology is clinical association: some Mendelian diseases are known to predispose patients to specific complex diseases (comorbidity). Previous studies link this comorbidity to pleiotropic effects of the Mendelian disease causal genes on the complex disease. Methods: In previous work studying incidence of 90 Mendelian and 65 complex diseases, we found 2,908 pairs of clinically associated (comorbid) diseases. Using this clinical signal, we can match each complex disease to a set of Mendelian disease causal genes. We hypothesize that the drugs targeting these genes are potential candidate drugs for the complex disease. We evaluate our candidate drugs using information of current drug indications or investigations. Results: Our analysis shows that the candidate drugs are enriched among currently investigated or indicated drugs for the relevant complex diseases (odds ratio = 1.84, p = 5.98e-22). Additionally, the candidate drugs are more likely to be in advanced stages of the drug development pipeline. We also present an approach to prioritize Mendelian diseases with particular promise for drug repurposing. Finally, we find that the combination of comorbidity and genetic similarity for a Mendelian disease and cancer pair leads to recommendation of candidate drugs that are enriched for those investigated or indicated. Conclusions: Our findings suggest a novel way to take advantage of the rich knowledge about Mendelian disease biology to improve treatment of complex diseases.

Indexed as

comorbiditydata miningdrug geneticsdrug repurposingdrug targetshealth records

Identifiers

PMID38699347
PMCPMC11065072

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.