Evidence map›Paper›PMID 37431440›Full record

ArticleJCPP advances2021

The association between polygenic scores for attention-deficit/hyperactivity disorder and school performance: The role of attention-deficit/hyperactivity disorder symptoms, polygenic scores for educational attainment, and shared familial factors.

Andreas Jangmo, Isabell Brikell, Ralf Kuja-Halkola, Inna Feldman, Sebastian Lundström, Catarina Almqvist, Cynthia M Bulik, Henrik Larsson

Open access · goldAbstract read
In one paragraph

Article in JCPP advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 7 institutions in 3 countries.

Andreas JangmoDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.ORCID https://orcid.org/0000-0001-6928-4791
Isabell BrikellDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Ralf Kuja-HalkolaDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.ORCID https://orcid.org/0000-0002-3765-2067
Inna FeldmanDepartment of Public Health and Caring Sciences Uppsala University Uppsala Sweden.
Sebastian LundströmGillberg Neuropsychiatry Centre Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Sweden.
Catarina AlmqvistDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Cynthia M BulikDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Henrik LarssonDepartment of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Karolinska Institutet · SEAarhus University · DKKarolinska University Hospital · SEÖrebro University · SEUniversity of Gothenburg · SEUniversity of North Carolina at Chapel Hill · USUppsala University · SE

Funding

Eating Disorders Genetics Initiative (EDGI)R01MH120170 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M · 2019 to 2023
$7.2M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
Predicting Binge and Purge Episodes from Passive and Active Apple Watch Data Using a Dynamical Systems ApproachR01MH119084 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, BUTNER, JONATHAN · 2019 to 2022
$2.8M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
NIMH NIH HHS R01 MH118278NIMH NIH HHS R01 MH119084NIMH NIH HHS R01 MH120170NIMH NIH HHS U01 MH109528
6 · The paper itself

Abstract

Background: Polygenic scores (PGS) for attention-deficit/hyperactivity disorder (ADHD) negatively predicts educational attainment (EA), but it remains unclear how ADHD symptoms, PGS for EA, and shared familiar factors influence the associations between PGS for ADHD and school performance. Method: We combined survey data on ADHD symptoms, PGS, and register-based, objective measures of compulsory school performance at age 16 for 6049 twins in the Child and Adolescent Twin Study in Sweden. Linear and instrumental variable (IV) regression models were used to estimate the association between PGS for ADHD and grade point average (GPA), overall and by natural science, humanities, and practically oriented (e.g., sports, arts, music) subject categories. The models were adjusted for parent-rated ADHD symptoms, PGS for EA, and shared familial factors (dizygotic twin comparisons) to examine how these factors influenced the associations between PGS for ADHD and school performance. Results: PGS for ADHD were negatively associated with school performance; Conclusion: Associations between PGS for ADHD and school performance are to a small degree influenced by ADHD symptoms, compared to PGS for EA and shared familial factors. These results highlight important considerations for research using PGS for ADHD to control for genetic factors, and for future clinical applications aiming to determine genetic liability towards ADHD.

Indexed as

ADHDpolygenic scoresschool performance

Identifiers

PMID37431440
PMCPMC10242908
OpenAlexW3198613789

What OpenQuestion holds

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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.