Evidence map›Paper›PMID 39711695›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder.

Shane O'Connell, Brielin C Brown, Dara M Cannon, Pilib Ó Broin, David A Knowles, Nadine Parker, Dag Alnæs, Lars T Westlye, Saikat Banerjee, Leila Nabulsi and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Shane O'ConnellDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl., New York, NY, 10029, USA.
Brielin C BrownDepartment of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia USA.
Dara M CannonClinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland.
Pilib Ó BroinSchool of Mathematical and Statistical Sciences, College of Science and Engineering, University of Galway, Galway, Ireland.
David A KnowlesNew York Genome Center, New York City, NY, USA.
Nadine ParkerCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Dag AlnæsCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Lars T WestlyeCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Saikat BanerjeeNew York Genome Center, New York City, NY, USA.
Leila NabulsiImaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA 90292, USA.
Emma CorleyClinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland.
Ole A AndreassenCentre for Precision Psychiatry, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Niamh MullinsDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl., New York, NY, 10029, USA.

Funding

Delineating the network effects of mental disorder-associated variants using convex optimization methodsR01MH130879 · NIMH · NEW YORK GENOME CENTER · PI David Arthur Knowles · 2022 to 2026
$3.9M
ENIGMA Bipolar Initiative: A Global Study of Imaging Genomics & Clinical OutcomesR01MH129742 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christopher Ching, PAUL M THOMPSON · 2022 to 2026
$3.0M
NIMH NIH HHS R01 MH129742NIMH NIH HHS R01 MH130879
6 · The paper itself

Abstract

Neuroanatomical variation in individuals with bipolar disorder (BD) has been previously described in observational studies. However, the causal dynamics of these relationships remain unexplored. We performed Mendelian Randomization of 297 structural and functional neuroimaging phenotypes from the UK BioBank and BD using genome-wide association study summary statistics. We found 28 significant causal relationship pairs after multiple testing corrections containing BD as a term, 27 of which described neuroimaging phenotype effects on BD. We applied an inverse sparse regression algorithm to estimate the direct effect of phenotypes conditional on all other causal effects, finding that white matter tract phenotypes have larger absolute effects on BD than

Identifiers

PMID39711695
PMCPMC11661354

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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.