Evidence map›Paper›PMID 38172303›Full record

ArticleNature genetics2024

Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications.

Áine Duffy, Ben Omega Petrazzini, David Stein, Joshua K Park, Iain S Forrest, Kyle Gibson, Ha My Vy, Robert Chen, Carla Márquez-Luna, Matthew Mort and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Genome-scale perturbation signatures from primary human CD4bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Medea: An omics AI agent for therapeutic discovery.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

17 authors.

Áine DuffyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0001-9164-1003
Ben Omega PetrazziniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0001-9789-9371
David SteinThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Joshua K ParkThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Iain S ForrestThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0002-5642-422X
Kyle GibsonThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Ha My VyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Robert ChenThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Carla Márquez-LunaThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Matthew MortInstitute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Marie VerbanckUniversité Paris Cité, UR 7537 BioSTM, Paris, France.
Avner SchlessingerDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0003-4007-7814
Yuval ItanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0003-4966-3238
David N CooperInstitute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-8943-8484
Ghislain RocheleauThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.ORCID 0000-0002-9989-7553
Daniel M JordanThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
Ron DoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York City, NY, USA. ron.do@mssm.edu.ORCID 0000-0002-3144-3627

Funding

Towards an integrated map of causal connections for common, complex diseasesR35GM124836 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ron Do · 2017 to 2026
$3.9M
Elucidating hereditary transthyretin-mediated heart failure risk using machine learning, polygenic risk and recall by genotype approaches in African ancestry individualsR01HL155915 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON, NADKARNI, GIRISH NITIN · 2021 to 2024
$3.4M
Resolving Causal Influences Among Correlated Risk Biomarkers for Coronary Artery DiseaseR01HL139865 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI DO, RON · 2018 to 2021
$1.7M
Substrate Specificity Determinants in Nutrient Solute Carrier TransportersR01CA277794 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Avner Schlessinger · 2023 to 2026
$1.7M
Agence Nationale de la Recherche (French National Research Agency) ANR-21-CE45-0023-01Fondation Leducq 21CVD01Leona M. and Harry B. Helmsley Charitable Trust (Helmsley Charitable Trust) 2209-05535NCI NIH HHS R01 CA277794NHLBI NIH HHS R01 HL139865NHLBI NIH HHS R01 HL155915NIGMS NIH HHS R35 GM124836U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 5T32HL00782424U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-HL139865U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) R01-HL155915U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35-GM124836
6 · The paper itself

Abstract

Studies have shown that drug targets with human genetic support are more likely to succeed in clinical trials. Hence, a tool integrating genetic evidence to prioritize drug target genes is beneficial for drug discovery. We built a genetic priority score (GPS) by integrating eight genetic features with drug indications from the Open Targets and SIDER databases. The top 0.83%, 0.28% and 0.19% of the GPS conferred a 5.3-, 9.9- and 11.0-fold increased effect of having an indication, respectively. In addition, we observed that targets in the top 0.28% of the score were 1.7-, 3.7- and 8.8-fold more likely to advance from phase I to phases II, III and IV, respectively. Complementary to the GPS, we incorporated the direction of genetic effect and drug mechanism into a directional version of the score called the GPS with direction of effect. We applied our method to 19,365 protein-coding genes and 399 drug indications and made all results available through a web portal.

Indexed as

Human GeneticsPharmacogeneticsDrug DiscoveryHumans

Identifiers

PMID38172303
PMCPMC11776516

What OpenQuestion holds

Textmetadata
LicenceTDM
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.