Evidence map›Paper›PMID 36963162›Full record

ReviewCurrent opinion in structural biology2023

Future prospects for human genetics and genomics in drug discovery.

Maya Ghoussaini, Matthew R Nelson, Ian Dunham

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in structural biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Study design and the sampling of deleterious rare variants in biobank-scale datasets.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Review
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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

3 authors at 3 institutions in 2 countries.

Maya GhoussainiWellcome Sanger Institute, Wellcome Genome Campus, United Kingdom; Open Targets, Wellcome Genome Campus, United Kingdom. Electronic address: https://twitter.com/MayaGhoussaini.
Matthew R NelsonDeerfield Management Company, L.P., New York, NY, USA.
Ian DunhamWellcome Sanger Institute, Wellcome Genome Campus, United Kingdom; Open Targets, Wellcome Genome Campus, United Kingdom; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, United Kingdom. Electronic address: dunham@ebi.ac.uk.
Deerfield (United States) · USEuropean Bioinformatics Institute · GBWellcome Sanger Institute · GB

Funding

Wellcome Trust 206194
6 · The paper itself

Abstract

Evidence from human genetics supporting the therapeutic hypothesis increases the likelihood that a drug will succeed in clinical trials. Rare and common disease genetics yield a wide array of alleles with a range of effect sizes that can proxy for the effect of a drug in disease. Recent advances in large scale population collections and whole genome sequencing approaches have provided a rich resource of human genetic evidence to support drug target selection. As the range of phenotypes profiled increases and ever more alleles are discovered across world-wide populations, these approaches will increasingly influence multiple stages across the lifespan of a drug discovery programme.

Indexed as

Drug DiscoveryGenomicsHuman GeneticsHumansPhenotype

Identifiers

PMID36963162
PMCPMC7614359
OpenAlexW4353060333

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.