Evidence map›Paper›PMID 36937092›Full record

ArticleGeneral psychiatry2023

Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder.

Ancha Baranova, Vikas Chandhoke, Hongbao Cao, Fuquan Zhang

Open access · diamondAbstract read
In one paragraph

Article in General psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
10.5field-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

28 citing papers in PubMed, 43 citations in OpenAlex.

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  10. Opposite causal effects of type 2 diabetes and metformin on Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025
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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

4 authors at 2 institutions in 3 countries.

Ancha BaranovaSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Vikas ChandhokeSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Hongbao CaoSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Fuquan ZhangInstitute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.ORCID 0000-0003-3204-8191
George Mason University · USNanjing Brain Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes (T2D) is a chronic metabolic disorder with high comorbidity with mental disorders. The genetic links between attention-deficit/hyperactivity disorder (ADHD) and T2D have yet to be elucidated. Aims: We aim to assess shared genetics and potential associations between ADHD and T2D. Methods: We performed genetic correlation, two-sample Mendelian randomisation and polygenic overlap analyses between ADHD and T2D. The genome-wide association study (GWAS) summary results of T2D (80 154 cases and 853 816 controls), ADHD2019 (20 183 cases and 35 191 controls from the 2019 GWAS ADHD dataset) and ADHD2022 (38 691 cases and 275 986 controls from the 2022 GWAS ADHD dataset) were used for the analyses. The T2D dataset was obtained from the DIAGRAM Consortium. The ADHD datasets were obtained from the Psychiatric Genomics Consortium. We compared genome-wide association signals to reveal shared genetic variation between T2D and ADHD using the larger ADHD2022 dataset. Moreover, molecular pathways were constructed based on large-scale literature data to understand the connection between ADHD and T2D. Results: T2D has positive genetic correlations with ADHD2019 (r Conclusions: Our study demonstrates substantial shared genetics and bidirectional causal associations between ADHD and T2D.

Indexed as

Genetics, Behavioral

Identifiers

PMID36937092
PMCPMC10016243
OpenAlexW4324101890

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.