Evidence map›Paper›PMID 32824125›Full record

ReviewGenes2020

Advances in Genomics for Drug Development.

Roberto Spreafico, Leah B Soriaga, Johannes Grosse, Herbert W Virgin, Amalio Telenti

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

16 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
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  11. How to Design Peptides.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Drug-Drug Interactions in Vestibular Diseases, Clinical Problems, and Medico-Legal Implications.International journal of environmental research and public health · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Roberto SpreaficoVir Biotechnology, Inc., San Francisco, CA 94158, USA.ORCID 0000-0001-8282-7658
Leah B SoriagaVir Biotechnology, Inc., San Francisco, CA 94158, USA.
Johannes GrosseVir Biotechnology, Inc., San Francisco, CA 94158, USA.
Herbert W VirginVir Biotechnology, Inc., San Francisco, CA 94158, USA.
Amalio TelentiVir Biotechnology, Inc., San Francisco, CA 94158, USA.ORCID 0000-0001-6290-7677
VIR Biotechnology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug development (target identification, advancing drug leads to candidates for preclinical and clinical studies) can be facilitated by genetic and genomic knowledge. Here, we review the contribution of population genomics to target identification, the value of bulk and single cell gene expression analysis for understanding the biological relevance of a drug target, and genome-wide CRISPR editing for the prioritization of drug targets. In genomics, we discuss the different scope of genome-wide association studies using genotyping arrays, versus exome and whole genome sequencing. In transcriptomics, we discuss the information from drug perturbation and the selection of biomarkers. For CRISPR screens, we discuss target discovery, mechanism of action and the concept of gene to drug mapping. Harnessing genetic support increases the probability of drug developability and approval.

Indexed as

Drug DevelopmentGenomicsAnimalsCRISPR-Cas SystemsGene EditingGene Expression ProfilingGenome-Wide Association StudyGenotypeHumansPharmacogenomic TestingSingle-Cell AnalysisTranscriptomeWhole Genome SequencingCRISPRdruggabilityloss-of-function

Identifiers

PMID32824125
PMCPMC7465049
OpenAlexW3049197809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.