Evidence map›Paper›PMID 20300526›Full record

ArticlePloS one2010

A novel analytical framework for dissecting the genetic architecture of behavioral symptoms in neuropsychiatric disorders.

Anthony J Deo, Ramiro Costa, Lynn E DeLisi, Rob DeSalle, Fatemeh Haghighi

Abstract read
In one paragraph

Article in PloS one, 2010. 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
–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

4 citing papers in PubMed.

  1. Cognitive dysfunction is worse among pediatric patients with bipolar disorder Type I than Type II.Journal of child psychology and psychiatry, and allied disciplines · 2012
    Article
  2. Review
  3. Article
  4. Article
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

5 authors.

Anthony J DeoDepartment of Biology, New York University, New York, New York, United States of America.
Ramiro Costa
Lynn E DeLisi
Rob DeSalle
Fatemeh Haghighi

Funding

An Integrated Framework of Epigenomics and Human DiseaseR01MH074118 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HAGHIGHI, FATEMEH G · 2005 to 2009
$2.1M
An Integrated Framework of Epigenomics and Human DiseaseK22HG002915 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAGHIGHI, FATEMEH G · 2005 to 2009
$1.2M
NHGRI NIH HHS HG002915NHGRI NIH HHS K22 HG002915NIMH NIH HHS MH074118NIMH NIH HHS R01 MH074118
6 · The paper itself

Abstract

backgroundFor diagnosis of neuropsychiatric disorders, a categorical classification system is often utilized as a simple way for conceptualizing an often complex clinical picture. This approach provides an unsatisfactory model of mental illness, since in practice patients do not conform to these prototypical diagnostic categories. Family studies show notable familial co-aggregation between schizophrenia and bipolar illness and between schizoaffective disorders and both bipolar disorder and schizophrenia, revealing that mental illness does not conform to such categorical models and is likely to follow a continuum encompassing a spectrum of behavioral symptoms. RESULTS AND METHODOLOGY: We introduce an analytic framework to dissect the phenotypic heterogeneity present in complex psychiatric disorders based on the conceptual paradigm of a continuum of psychosis. The approach identifies subgroups of behavioral symptoms that are likely to be phenotypically and genetically homogenous. We have evaluated this approach through analysis of simulated data with simulated behavioral traits and predisposing genetic factors. We also apply this approach to a psychiatric dataset of a genome scan for schizophrenia for which extensive behavioral information was collected for each individual patient and their families. With this approach, we identified significant evidence for linkage among depressed individuals with two distinct symptom profiles, that is individuals with sleep disturbance symptoms with linkage on chromosome 2q13 and also a mutually exclusive group of individuals with symptoms of concentration problems with linkage on chromosome 2q35. In addition we identified a subset of individuals with schizophrenia defined by language disturbances with linkage to chromosome 2p25.1 and a group of patients with a phenotype intermediate between those of schizophrenia and schizoaffective disorder with linkage to chromosome 2p21.

conclusionsThe findings presented are novel and demonstrate the efficacy of this approach in detection of genes underlying such complex human disorders as schizophrenia and depression.

Indexed as

BehaviorAlgorithmsBipolar DisorderComputer SimulationDepressionFamily HealthGenetic LinkageGenetics, BehavioralHumansLod ScoreMental DisordersPhenotypePsychotic DisordersSchizophreniaSoftware

Identifiers

PMID20300526
PMCPMC2838792

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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.