Literature DB >> 27340225

Pathway and network-based strategies to translate genetic discoveries into effective therapies.

Casey S Greene1, Benjamin F Voight2.   

Abstract

One way to design a drug is to attempt to phenocopy a genetic variant that is known to have the desired effect. In general, drugs that are supported by genetic associations progress further in the development pipeline. However, the number of associations that are candidates for development into drugs is limited because many associations are in non-coding regions or difficult to target genes. Approaches that overlay information from pathway databases or biological networks can expand the potential target list. In cases where the initial variant is not targetable or there is no variant with the desired effect, this may reveal new means to target a disease. In this review, we discuss recent examples in the domain of pathway and network-based drug repositioning from genetic associations. We highlight important caveats and challenges for the field, and we discuss opportunities for further development.
© The Author (2016). Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Year:  2016        PMID: 27340225      PMCID: PMC5036870          DOI: 10.1093/hmg/ddw160

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  41 in total

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8.  Variation in FTO contributes to childhood obesity and severe adult obesity.

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Journal:  Nat Genet       Date:  2007-05-13       Impact factor: 38.330

9.  Inactivating mutations in NPC1L1 and protection from coronary heart disease.

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10.  Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits.

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Journal:  PLoS Genet       Date:  2007-07       Impact factor: 5.917

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2.  Network medicine framework for identifying drug-repurposing opportunities for COVID-19.

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4.  Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks.

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5.  Causal network models of SARS-CoV-2 expression and aging to identify candidates for drug repurposing.

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6.  POLR3-Related Leukodystrophy: Exploring Potential Therapeutic Approaches.

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Review 7.  Overcoming Drug Resistance in Advanced Prostate Cancer by Drug Repurposing.

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