Evidence map›Paper›PMID 23793356›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2013

Neuroimaging in psychiatric pharmacogenetics research: the promise and pitfalls.

Mary Falcone, Ryan M Smith, Meghan J Chenoweth, Abesh Kumar Bhattacharjee, John R Kelsoe, Rachel F Tyndale, Caryn Lerman, Pharmacogenomics Research Network Central Nervous System Working Group

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2021
    Review
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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

8 authors at 4 institutions in 2 countries.

Mary Falcone1] Department of Pharmacology, University of Pennsylvania, Philadelphia, PA, USA [2] Center for Interdisciplinary Research on Nicotine Addiction, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Ryan M Smith
Meghan J Chenoweth
Abesh Kumar Bhattacharjee
John R Kelsoe
Rachel F Tyndale
Caryn Lerman
Pharmacogenomics Research Network Central Nervous System Working Group
University of California, San Diego · USUniversity of Pennsylvania · USUniversity of Toronto · CAThe Ohio State University · US

Funding

PREDOCTORAL TRAINING PROGRAM IN PHARMACOLOGYT32GM008076 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BLENDY, JULIE A · 1985 to 2023
$10.8M
Expression Genetics in Drug TherapyU01GM092655 · NIGMS · OHIO STATE UNIVERSITY · PI SADEE, WOLFGANG · 2010 to 2014
$8.6M
Neuroimaging Abstinence and Medication ResponseP50CA143187 · NCI · UNIVERSITY OF PENNSYLVANIA · PI PERKINS, KENNETH ALAN · 2009 to 2013
$8.6M
Pharmacogenomics of Mood Stabilizer Response in Bipolar DisorderU01MH092758 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KELSOE, JOHN R. · 2010 to 2014
$6.2M
Neural Substrates of Cognitive Deficits in Nicotine WithdrawalR01DA026849 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 2009 to 2011
$1.1M
Genetic Predictors of Lithium Response in Bipolar DisorderI01CX000363 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI KELSOE, JOHN R. · 2011 to 2015
–
CIHRCSRD VA I01 CX000363NCI NIH HHS P50 CA143187NIDA NIH HHS DA U0102830NIDA NIH HHS R01 DA026849NIGMS NIH HHS T32 GM008076NIGMS NIH HHS U01 GM092655NIMH NIH HHS U01 MH092758NIMH NIH HHS U01 MH092758-03
6 · The paper itself

Abstract

The integration of research on neuroimaging and pharmacogenetics holds promise for improving treatment for neuropsychiatric conditions. Neuroimaging may provide a more sensitive early measure of treatment response in genetically defined patient groups, and could facilitate development of novel therapies based on an improved understanding of pathogenic mechanisms underlying pharmacogenetic associations. This review summarizes progress in efforts to incorporate neuroimaging into genetics and treatment research on major psychiatric disorders, such as schizophrenia, major depressive disorder, bipolar disorder, attention-deficit/hyperactivity disorder, and addiction. Methodological challenges include: performing genetic analyses in small study populations used in imaging studies; inclusion of patients with psychiatric comorbidities; and the extensive variability across studies in neuroimaging protocols, neurobehavioral task probes, and analytic strategies. Moreover, few studies use pharmacogenetic designs that permit testing of genotype × drug effects. As a result of these limitations, few findings have been fully replicated. Future studies that pre-screen participants for genetic variants selected a priori based on drug metabolism and targets have the greatest potential to advance the science and practice of psychiatric treatment.

Indexed as

HumansMental DisordersMental ProcessesNeuroimagingPharmacogenetics

Identifiers

PMID23793356
PMCPMC3799069
OpenAlexW1984064578

What OpenQuestion holds

Textmetadata
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.