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Clinical applications of schizophrenia genetics: genetic diagnosis, risk, and counseling in the molecular era

Overview of attention for article published in The Application of Clinical Genetics, February 2012
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124 Mendeley
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1 CiteULike
Title
Clinical applications of schizophrenia genetics: genetic diagnosis, risk, and counseling in the molecular era
Published in
The Application of Clinical Genetics, February 2012
DOI 10.2147/tacg.s21953
Pubmed ID
Authors

Gregory Costain, Anne S Bassett

Abstract

Schizophrenia is a complex neuropsychiatric disease with documented clinical and genetic heterogeneity, and evidence for neurodevelopmental origins. Driven by new genetic technologies and advances in molecular medicine, there has recently been concrete progress in understanding some of the specific genetic causes of this serious psychiatric illness. In particular, several large rare structural variants have been convincingly associated with schizophrenia, in targeted studies over two decades with respect to 22q11.2 microdeletions, and more recently in large-scale, genome-wide case-control studies. These advances promise to help many families afflicted with this disease. In this review, we critically appraise recent developments in the field of schizophrenia genetics through the lens of immediate clinical applicability. Much work remains in translating the recent surge of genetic research discoveries into the clinic. The epidemiology and basic genetic parameters (such as penetrance and expression) of most genomic disorders associated with schizophrenia are not yet well characterized. To date, 22q11.2 deletion syndrome is the only established genetic subtype of schizophrenia of proven clinical relevance. We use this well-established association as a model to chart the pathway for translating emerging genetic discoveries into clinical practice. We also propose new directions for research involving general genetic risk prediction and counseling in schizophrenia.

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The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 123 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 19%
Student > Ph. D. Student 20 16%
Student > Bachelor 19 15%
Researcher 11 9%
Student > Doctoral Student 9 7%
Other 24 19%
Unknown 18 15%
Readers by discipline Count As %
Medicine and Dentistry 30 24%
Agricultural and Biological Sciences 28 23%
Psychology 14 11%
Biochemistry, Genetics and Molecular Biology 10 8%
Neuroscience 7 6%
Other 10 8%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 May 2014.
All research outputs
#15,160,341
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#157,118
of 255,195 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 2.2. This one scored the same or higher as 0 of them.
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