Evidence map›Paper›PMID 42375481›Full record

ArticleNeuroscience applied2026

Shared genetic architecture between psychiatric and insulin-related traits in the general population.

Barbara Šakić, Izel Erdogan, Giuseppe Fanelli, Marieke Klein, Martina Arenella, Nina Roth Mota, Janita Bralten

Abstract read
In one paragraph

Article in Neuroscience applied, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Barbara ŠakićDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.
Izel ErdoganDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.
Giuseppe FanelliDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.
Marieke KleinDonders Institute for Brain, Cognition and Behaviour, Radboud University, Erasmusplein 1, Nijmegen, 6525 HT, the Netherlands.
Martina ArenellaDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.
Nina Roth MotaDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.
Janita BraltenDepartment of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 10, Nijmegen, 6525 GA, the Netherlands.

Funding

2/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124851 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOERGLUM, ANDERS, DAVIS, LEA K · 2021 to 2025
$5.4M
NIMH NIH HHS R01 MH124851
6 · The paper itself

Abstract

Psychiatric conditions, like Attention-Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and Obsessive-Compulsive Disorder (OCD) are complex heritable disorders that frequently co-occur with insulin resistance (IR)-related conditions, such as obesity and type 2 diabetes mellitus. Traditional genetic case-control comparisons are challenged by the extent of heterogeneity and comorbidity within and across these conditions. In this study we used psychiatry-related traits in the general population in multivariate analyses to explore the potential genetic links with insulin-related traits. Using large-scale genetic studies (N = 17,666-697,734) genomic structural equation modeling was applied to identify the factor structure best representing the joint genetic architecture of traits in the population that are linked to ADHD, ASD, and OCD, and five IR-related measures: body mass index (BMI), fasting plasma glucose (FPG), fasting plasma insulin, glycated haemoglobin (HbA1c), and the Homeostatic Model assessment for IR (HOMA-IR). Next, multivariate genome-wide association analyses were performed on the psychiatry-IR related factors to explore genetic associations, followed by functional mapping and annotation of the genetic results. Factor analyses indicated that a three-factor model fitted the data best (χ2(df = 9) = 18.79, AIC = 56.8, CFI = 0.99, SRMR = 0.068). Two of the three genetic factors included both psychiatric and insulin-related traits, one factor connected ADHD symptoms with three IR-related measures (BMI, FPG, HbA1c) and another factor OCD symptoms with HbA1c. Genetic analyses revealed 57 genes significantly associated with the ADHD-IR factor (p < 2.961e-06) and one gene,

Indexed as

Insulin resistanceMultivariate geneticsPsychiatric traits

Identifiers

PMID42375481
PMCPMC13312545

What Socratic 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 Socratic graph.