Evidence map›Paper›PMID 36322200›Full record

ArticleBehavior genetics2023

MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives.

Luis F S Castro-de-Araujo, Madhurbain Singh, Yi Zhou, Philip Vinh, Brad Verhulst, Conor V Dolan, Michael C Neale

Abstract read
In one paragraph

Article in Behavior genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

7 authors.

Luis F S Castro-de-AraujoVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1‑156, P.O. Box 980126, Richmond, VA, 23298‑0126, USA. luis.araujo@vcuhealth.org.ORCID 0000-0002-0952-5052
Madhurbain SinghVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1‑156, P.O. Box 980126, Richmond, VA, 23298‑0126, USA.ORCID 0000-0002-9396-2860
Yi ZhouVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1‑156, P.O. Box 980126, Richmond, VA, 23298‑0126, USA.
Philip VinhVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1‑156, P.O. Box 980126, Richmond, VA, 23298‑0126, USA.
Brad VerhulstDepartment of Psychiatry and Behavioral Sciences, Texas A&M University, 2900 E 29th Street, Bryan, TX, 77802, USA.
Conor V DolanDepartment of Biological Psychology, Vrije Universiteit. Amsterdam, Transitorium 2B03, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.ORCID 0000-0002-2496-8492
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1‑156, P.O. Box 980126, Richmond, VA, 23298‑0126, USA.ORCID 0000-0003-4887-659X

Funding

Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
Examining Brain Development, Context, and Culture as Mediators and Moderators of the Relation between Adverse Childhood Experiences (ACEs) and Substance (Ab)useU01DA051037 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI James M Bjork, MICHAEL CHURTON NEALE · 2020 to 2026
$11.0M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
Extensions of Mendelian Randomization Methodology for Combined Genomic and Methylomic AnalysisR01DA049867 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2020 to 2024
$1.9M
Medical Research Council MR/T03355X/1NIDA NIH HHS R01 DA049867NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA051037NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

Establishing causality is an essential step towards developing interventions for psychiatric disorders, substance use and many other conditions. While randomized controlled trials (RCTs) are considered the gold standard for causal inference, they are unethical in many scenarios. Mendelian randomization (MR) can be used in such cases, but importantly both RCTs and MR assume unidirectional causality. In this paper, we developed a new model, MRDoC2, that can be used to identify bidirectional causation in the presence of confounding due to both familial and non-familial sources. Our model extends the MRDoC model (Minică et al. in Behav Genet 48:337-349,  https://doi.org/10.1007/s10519-018-9904-4 , 2018), by simultaneously including risk scores for each trait. Furthermore, the power to detect causal effects in MRDoC2 does not require the phenotypes to have different additive genetic or shared environmental sources of variance, as is the case in the direction of causation twin model (Heath et al. in Behav Genet 23:29-50,  https://doi.org/10.1007/BF01067552 , 1993).

Indexed as

Mental DisordersCausalityGenome-Wide Association StudyHumansPhenotypeRisk FactorsCausalityMendelian randomizationPleiotropyTwin design

Identifiers

PMID36322200
PMCPMC9823046

What OpenQuestion holds

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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 OpenQuestion graph.