Evidence map›Paper›PMID 37985818›Full record

ArticleNature genetics2023

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder.

Andrew Dahl, Michael Thompson, Ulzee An, Morten Krebs, Vivek Appadurai, Richard Border, Silviu-Alin Bacanu, Thomas Werge, Jonathan Flint, Andrew J Schork and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
15.7field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  10. Review
  11. Choice of phenotype scale is critical in biobank-based G×E tests.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
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  18. Genetic risk effects on psychiatric disorders act in sets.medRxiv : the preprint server for health sciences · 2025
    Article
  19. Article
  20. 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

13 authors at 7 institutions in 3 countries.

Andrew Dahl *Section of Genetic Medicine, University of Chicago, Chicago, IL, USA. andywdahl@uchicago.edu.ORCID 0000-0001-6520-4766
Michael ThompsonDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.
Ulzee AnDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-8066-7291
Morten KrebsInstitute of Biological Psychiatry, Mental Health Center-Sct Hans, Copenhagen University Hospital-Mental Health Services CPH, Copenhagen, Denmark.ORCID 0000-0002-4452-0732
Vivek AppaduraiInstitute of Biological Psychiatry, Mental Health Center-Sct Hans, Copenhagen University Hospital-Mental Health Services CPH, Copenhagen, Denmark.ORCID 0000-0002-2148-6201
Richard BorderDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-6293-2968
Silviu-Alin BacanuVirginia Institute for Psychiatric and Behavioral Genetics and Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-4364-1583
Thomas WergeInstitute of Biological Psychiatry, Mental Health Center-Sct Hans, Copenhagen University Hospital-Mental Health Services CPH, Copenhagen, Denmark.ORCID 0000-0003-1829-0766
Jonathan FlintDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-9427-4429
Andrew J SchorkInstitute of Biological Psychiatry, Mental Health Center-Sct Hans, Copenhagen University Hospital-Mental Health Services CPH, Copenhagen, Denmark.
Sriram SankararamanDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-1586-9641
Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics and Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-8689-6570
Na Cai *Helmholtz Pioneer Campus, Helmholtz Zentrum München, Neuherberg, Germany. na.cai@helmholtz-munich.de.
University of California, Los Angeles · USMental Health Services · DKUniversity of Copenhagen · DKVirginia Commonwealth University · USHarvard University · USHelmholtz Zentrum München · DEUniversity of Chicago · US

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Methods for Genome-wide Association Studies in Admixed PopulationsR01HG006399 · NHGRI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L · 2011 to 2024
$6.3M
Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
2/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124851 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOERGLUM, ANDERS, DAVIS, LEA K · 2021 to 2025
$5.4M
Improving the interpretability of genetic studies of major depressive disorder to identify risk genesR01MH130581 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JONATHAN FLINT, KENNETH SEEDMAN KENDLER · 2022 to 2026
$2.8M
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and DiseaseR35GM125055 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SANKARARAMAN, SRIRAM · 2017 to 2021
$1.6M
NHGRI NIH HHS R01 HG006399NHGRI NIH HHS T32 HG002536NIGMS NIH HHS R35 GM125055NIMH NIH HHS R01 MH124851NIMH NIH HHS R01 MH130581NINDS NIH HHS T32 NS048004
6 · The paper itself

Abstract

Biobanks often contain several phenotypes relevant to diseases such as major depressive disorder (MDD), with partly distinct genetic architectures. Researchers face complex tradeoffs between shallow (large sample size, low specificity/sensitivity) and deep (small sample size, high specificity/sensitivity) phenotypes, and the optimal choices are often unclear. Here we propose to integrate these phenotypes to combine the benefits of each. We use phenotype imputation to integrate information across hundreds of MDD-relevant phenotypes, which significantly increases genome-wide association study (GWAS) power and polygenic risk score (PRS) prediction accuracy of the deepest available MDD phenotype in UK Biobank, LifetimeMDD. We demonstrate that imputation preserves specificity in its genetic architecture using a novel PRS-based pleiotropy metric. We further find that integration via summary statistics also enhances GWAS power and PRS predictions, but can introduce nonspecific genetic effects depending on input. Our work provides a simple and scalable approach to improve genetic studies in large biobanks by integrating shallow and deep phenotypes.

Indexed as

Major Depressive DisorderBiological Specimen BanksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID37985818
PMCPMC10703686
OpenAlexW4388824145

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.