Article in Nature human behaviour, 2025. 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.
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
11 authors.
Georgios Voloudakis *Center for Precision Medicine and Translational Therapeutics, JJ Peters VA Medical Center, Bronx, NY, USA. georgios.voloudakis@mssm.edu.ORCID 0000-0002-5729-632X
Karen Therrien *Center for Precision Medicine and Translational Therapeutics, JJ Peters VA Medical Center, Bronx, NY, USA.ORCID 0000-0003-3351-7260
Simone Tomasi *Center for Precision Medicine and Translational Therapeutics, JJ Peters VA Medical Center, Bronx, NY, USA.ORCID 0000-0001-6241-5840
Veera M RajagopalDepartment of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-5236-168X
Shing Wan ChoiDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ditte DemontisDepartment of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-9124-2766
John F FullardCenter for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-9874-2907
Anders D BørglumDepartment of Biomedicine/Human Genetics, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-8627-7219
Paul F O'ReillyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0001-7515-0845
Gabriel E HoffmanCenter for Precision Medicine and Translational Therapeutics, JJ Peters VA Medical Center, Bronx, NY, USA.ORCID 0000-0002-0957-0224
Panos RoussosCenter for Precision Medicine and Translational Therapeutics, JJ Peters VA Medical Center, Bronx, NY, USA. panagiotis.roussos@mssm.edu.ORCID 0000-0002-4640-6239
Funding
Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI John Fonda Crary · 2020 to 2026
$31.0M
The 3D genome in transcriptional regulation across the postnatal life span, with implications for schizophrenia and bipolar disorderU01MH116442 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AKBARIAN, SCHAHRAM, DRACHEVA, STELLA · 2018 to 2022
$5.9M
Multiethnic genomic epigenomic and transcriptomic fine-mapping and functional validation analysis of schizophrenia and bipolar disorder risk lociR01MH125246 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ROUSSOS, PANAGIOTIS · 2021 to 2025
$5.0M
Training Program in NeuroscienceT32MH087004 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GEORGE W. HUNTLEY · 2009 to 2026
$4.0M
Identifying genetically driven gene dysregulation in Alzheimer's disease and related dementias using statistical data integrationR01AG078657 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Georgios Voloudakis · 2023 to 2026
$2.7M
Characterizing and targeting subphenotypes of schizophrenia and bipolar disorder via individually imputed tissue and cell-type specific transcriptomesK08MH122911 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VOLOUDAKIS, GEORGIOS · 2020 to 2023
$770k
BLRD VA I01 BX004189NCATS NIH HHS UL1 TR004419NIA NIH HHS P30 AG066514NIA NIH HHS R01 AG078657NIMH NIH HHS K08 MH122911NIMH NIH HHS R01 MH125246NIMH NIH HHS T32 MH087004NIMH NIH HHS U01 MH116442U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K08MH122911U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH125246U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) T32MH087004U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) U01MH116442
6 · The paper itself
Abstract
Polygenic scores (PGS) enable the exploration of pleiotropic effects and genomic dissection of complex traits. Here, in 421,889 individuals with European ancestry from the Million Veteran Program and UK Biobank, we examine how PGS of 17 neuropsychiatric traits are related to membership in 22 broad professional categories. Overall, we find statistically significant but weak (the highest odds ratio is 1.1 per PGS standard deviation) associations between most professional categories and genetic predisposition for at least one neuropsychiatric trait. Secondary analyses in UK Biobank revealed independence of these associations from observed fluid intelligence and sex-specific effects. By leveraging aggregate population trends, we identified patterns in the public interest, such as the mediating effect of education attainment on the association of attention-deficit/hyperactivity disorder PGS with multiple professional categories. However, at the individual level, PGS explained less than 0.5% of the variance of professional membership, and almost none after we adjusted for education and socio-economic status.
Indexed as
Multifactorial InheritanceOccupationsAdultAgedEducational StatusFemaleGenetic Predisposition to DiseaseHumansIntelligenceMaleMiddle AgedUnited Kingdom
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.
Neuropsychiatric polygenic scores are weak predictors of professional categories. · full record | OpenQuestion