Evidence map›Paper›PMID 42414552›Full record

ArticleMolecular psychiatry2026

Molecular genetic influences on sustained attention and executive processes and their links with psychopathology in the AFFECT study.

Justin D Tubbs, Travis T Mallard, Maria Dalby, Yunxuan Jiang, Younga H Lee, Karmel W Choi, Tian Ge, Niels Plath, Lene Hammer-Helmich, Julie M Granka and 5 more

Abstract read
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In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Justin D Tubbs *Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. jtubbs@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-6671-6816
Travis T Mallard *Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. tmallard@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-3265-3001
Maria DalbyH. Lundbeck A/S, Valby, Denmark.
Yunxuan Jiang23andMe Inc, Sunnyvale, CA, USA.
Younga H LeePsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0001-7517-6594
Karmel W ChoiPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Tian GePsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Niels PlathH. Lundbeck A/S, Valby, Denmark.
Lene Hammer-HelmichH. Lundbeck A/S, Valby, Denmark.ORCID http://orcid.org/0000-0001-8962-6250
Julie M Granka23andMe Inc, Sunnyvale, CA, USA.
23andMe Research Group
Andrew D GrotzingerInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.ORCID http://orcid.org/0000-0001-7852-9244
David Hinds23andMe Inc, Sunnyvale, CA, USA.ORCID http://orcid.org/0000-0002-4911-803X
Jordan W SmollerPsychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0381-6334
Joshua W BuckholtzDepartment of Psychiatry, Harvard Medical School, Boston, MA, USA.

Funding

Partners Healthcare Training Program in Precision and Genomic MedicineT32HG010464 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HEIDI L REHM, JORDAN W SMOLLER · 2019 to 2026
$3.1M
Understanding developmental neurogenomic mechanisms in externalizing disordersK08MH135343 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI Travis T Mallard · 2024 to 2026
$588k
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) T32HG010464U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K08MH135343
6 · The paper itself

Abstract

Both sustained attention (SA) and executive functioning (EF) are critical for adaptive behavior and compromised across a range of psychiatric disorders, yet their etiological relationships remain underexplored. Here, we report the first multivariate characterization of molecular genetic influences on SA (vigilance, lapse recovery cost, lapse propensity) and EF (processing speed, response selection, working memory). In collaboration with 23andMe, we report previously unpublished genome-wide association studies of these phenotypes in a single cohort of more than 20,000 individuals enriched for diagnoses of major depressive disorder and bipolar disorder. We used Genomic Structural Equation Modeling to formally model patterns of genetic covariance among these task-based measures of cognition, and their relationships with other cognitive, clinical, and imaging-derived phenotypes. We identified two distinct latent genetic factors: one influencing EF and one influencing SA. Both the EF and SA factors were genetically correlated with cognitive and clinical phenotypes, with each latent factor uniquely linked to liability for psychiatric disorders, including attention-deficit/hyperactivity disorder. However, genetic correlations with imaging-derived neuroanatomical phenotypes were modest and non-significant after correction for multiple comparisons. Collectively, these results provide an initial multivariate genetic characterization of SA and EF, though replication in larger and more diverse samples will be important. They suggest that genetic influences on sustained attention are generally distinct from those that influence executive function. The EF and SA factors show distinct patterns of genetic overlap with multiple cognitive and psychiatric outcomes, underscoring the need for more granular cognitive phenotyping to generate new insights into the genetic architecture of cognition and the etiology of psychopathology.

Identifiers

PMID42414552

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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.