Evidence map›Paper›PMID 37328750›Full record

ArticleBMC psychiatry2023

In search of environmental risk factors for obsessive-compulsive disorder: study protocol for the OCDTWIN project.

David Mataix-Cols, Lorena Fernández de la Cruz, Elles De Schipper, Ralf Kuja-Halkola, Cynthia M Bulik, James J Crowley, Janina Neufeld, Christian Rück, Kristiina Tammimies, Paul Lichtenstein and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 4 countries.

David Mataix-ColsDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden. david.mataix.cols@ki.se.
Lorena Fernández de la CruzDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Elles De SchipperDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Ralf Kuja-HalkolaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Cynthia M BulikDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
James J CrowleyDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Janina NeufeldCenter of Neurodevelopmental Disorders at Karolinska Institutet (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Christian RückDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Kristiina TammimiesStockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Paul LichtensteinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sven BölteStockholm Health Care Services, Region Stockholm, Stockholm, Sweden.
Jan C BeuckeDepartment of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEStockholm Health Care Services · SEHumboldt-Universität zu Berlin · DEUniversity of North Carolina at Chapel Hill · US

Funding

OCD: Novel Comparative Genomic Approaches to Identify Disease and Treatment MechanismsR01MH110427 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CROWLEY, JAMES JOSEPH · 2016 to 2021
$3.0M
NIMH NIH HHS R01 MH110427
6 · The paper itself

Abstract

backgroundThe causes of obsessive-compulsive disorder (OCD) remain unknown. Gene-searching efforts are well underway, but the identification of environmental risk factors is at least as important and should be a priority because some of them may be amenable to prevention or early intervention strategies. Genetically informative studies, particularly those employing the discordant monozygotic (MZ) twin design, are ideally suited to study environmental risk factors. This protocol paper describes the study rationale, aims, and methods of OCDTWIN, an open cohort of MZ twin pairs who are discordant for the diagnosis of OCD.

methodsOCDTWIN has two broad aims. In Aim 1, we are recruiting MZ twin pairs from across Sweden, conducting thorough clinical assessments, and building a biobank of biological specimens, including blood, saliva, urine, stool, hair, nails, and multimodal brain imaging. A wealth of early life exposures (e.g., perinatal variables, health-related information, psychosocial stressors) are available through linkage with the nationwide registers and the Swedish Twin Registry. Blood spots stored in the Swedish phenylketonuria (PKU) biobank will be available to extract DNA, proteins, and metabolites, providing an invaluable source of biomaterial taken at birth. In Aim 2, we will perform within-pair comparisons of discordant MZ twins, which will allow us to isolate unique environmental risk factors that are in the causal pathway to OCD, while strictly controlling for genetic and early shared environmental influences. To date (May 2023), 43 pairs of twins (21 discordant for OCD) have been recruited. DISCUSSION: OCDTWIN hopes to generate unique insights into environmental risk factors that are in the causal pathway to OCD, some of which have the potential of being actionable targets.

Indexed as

Obsessive-Compulsive DisorderTwins, MonozygoticBrainDiseases in TwinsFemaleHumansInfant, NewbornPregnancyRisk FactorsTwin Studies as TopicDiscordant twinsEarly interventionEnvironmental risk factorsMonozygotic twinsObsessive-compulsive disorderPrevention

Identifiers

PMID37328750
PMCPMC10273515
OpenAlexW4380989027

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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.