Evidence map›Paper›PMID 37689771›Full record

ArticleNature communications2023

ADuLT: An efficient and robust time-to-event GWAS.

Emil M Pedersen, Esben Agerbo, Oleguer Plana-Ripoll, Jette Steinbach, Morten D Krebs, David M Hougaard, Thomas Werge, Merete Nordentoft, Anders D Børglum, Katherine L Musliner and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Multi-Ancestry Survival GWAS of Substance Use Initiation in the ABCD Study.medRxiv : the preprint server for health sciences · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Common and rare genetic variants explain distinct diagnostic variance in pediatric attention deficit hyperactivity disorder.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  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

16 authors.

Emil M PedersenNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark. emp@ncrr.au.dk.ORCID http://orcid.org/0000-0002-3257-5269
Esben AgerboNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Oleguer Plana-RipollNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Jette SteinbachNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-0553-6480
Morten D KrebsInstitute of Biological Psychiatry, Mental Health Center - Sct Hans, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark.
David M HougaardDepartment for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-5928-3517
Thomas WergeInstitute of Biological Psychiatry, Mental Health Center - Sct Hans, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1829-0766
Merete NordentoftLundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.
Anders D BørglumLundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-8627-7219
Katherine L MuslinerNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-6198-4953
Andrea GannaInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-8147-240X
Andrew J SchorkInstitute of Biological Psychiatry, Mental Health Center - Sct Hans, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark.
Preben B MortensenNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-5230-9865
John J McGrathNational Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-4792-6068
Florian Privé *National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Bjarni J Vilhjálmsson *National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark. bjv@ncrr.au.dk.ORCID http://orcid.org/0000-0003-2277-9249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proportional hazards models have been proposed to analyse time-to-event phenotypes in genome-wide association studies (GWAS). However, little is known about the ability of proportional hazards models to identify genetic associations under different generative models and when ascertainment is present. Here we propose the age-dependent liability threshold (ADuLT) model as an alternative to a Cox regression based GWAS, here represented by SPACox. We compare ADuLT, SPACox, and standard case-control GWAS in simulations under two generative models and with varying degrees of ascertainment as well as in the iPSYCH cohort. We find Cox regression GWAS to be underpowered when cases are strongly ascertained (cases are oversampled by a factor 5), regardless of the generative model used. ADuLT is robust to ascertainment in all simulated scenarios. Then, we analyse four psychiatric disorders in iPSYCH, ADHD, Autism, Depression, and Schizophrenia, with a strong case-ascertainment. Across these psychiatric disorders, ADuLT identifies 20 independent genome-wide significant associations, case-control GWAS finds 17, and SPACox finds 8, which is consistent with simulation results. As more genetic data are being linked to electronic health records, robust GWAS methods that can make use of age-of-onset information will help increase power in analyses for common health outcomes.

Indexed as

Autistic DisorderGenome-Wide Association StudyComputer SimulationElectronic Health RecordsFactor VHumansFactor V

Identifiers

PMID37689771
PMCPMC10492844

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.