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Open AccessJournal ArticleDOI

The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review.

TLDR
Overall, SZ-PRS was associated with increased risk for psychiatric disorders such as depression and bipolar disorder, lower performance IQ and negative symptoms, and a framework is proposed to guide robust reporting of PRS associations in the future.
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This article is published in Schizophrenia Research.The article was published on 2017-11-10 and is currently open access. It has received 115 citations till now. The article focuses on the topics: Bipolar disorder & Schizophrenia.

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Citations
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Journal ArticleDOI

The use of polygenic risk scores as a covariate in psychological studies

TL;DR: In this article , the authors evaluated the methodological aspects of using polygenic risk scores (PRS) as a covariate in causal association studies in psychology and found that a significant amount of bias was present even after adjustment for the measured confounders and this bias amplified when the interaction effect was two times stronger.
Journal ArticleDOI

Bildgebung bei Schizophrenie

TL;DR: In this article, a machine learning-based method for the evaluation of dysfunktionaler neuronaler netzwerke bei Schizophrenia is presented. Butt et al.
Book ChapterDOI

Why Do Mental Disorders Persist?

TL;DR: In this paper , five main kinds of explanation need to be considered: stochasticity, path dependence, mismatch, trade-offs that benefit the individual and traits that benefit gene transmission at a cost to the individual.
Journal ArticleDOI

A genetic risk score using human chromosomal-scale length variation can predict schizophrenia.

TL;DR: In this article, the authors used several machine learning algorithms to determine which was the most effective in predicting schizophrenia and if any improvement in prediction occurs by breaking the chromosomes into smaller chunks, and found that the stacked ensemble, performed best with an area under the receiver operating characteristic curve (AUC) of 0.545 (95% CI 0.539-0.550).
Posted ContentDOI

Comparison of mouse models reveals the molecular bases for psychotic illness in Prader-Willi syndrome

TL;DR: In this article, the authors compared the brain transcriptomic profile of the PWS-IC mouse to the wild-type mouse with a deletion of the minimal critical interval spanning the snoRNA Snord116 and Ipw.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal Article

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke, +354 more
- 24 Jul 2014 - 
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
Journal ArticleDOI

The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions

TL;DR: The authors discuss the etymology and strategy behind the use of endophenotypes in neuropsychiatric research and, more generally, in research on other diseases with complex genetics.
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Frequently Asked Questions (9)
Q1. What are the contributions mentioned in the paper "The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: systematic review" ?

This paper conducted a systematic review to identify studies that have used a polygenic risk score ( PRS ) approach to examine phenotypes associated with genetic risk for schizophrenia. 

One of the main advantages of the PRS approach is the ability to study how genetic risk for schizophrenia is manifest across the general population, and during different stages of development. 

Future increases in size of discovery samples may also enable PRSs to make a meaningful contribution to risk prediction models, as has been shown for some non-psychiatric disorders (Chatterjee et al. 2016). 

The population-based Longitudinal Experiences and Perceptions (LEAP) study found that SZPRS was associated with decreased anhedonia (strongest PT<0.5; one-tailed p=0.003) and parent-rated negative symptoms in adolescence (one-tailed p=0.029) (Sieradzka et al. 2014). 

The SZ-PRS was consistently associated with poorer cognition in population-based studies and from childhood through to older age (McIntosh et al. 2013; Hubbard et al. 2016). 

In the Netherlands case-control study of schizophrenia, SZ-PRS was associated with five symptom dimensions (strongest PT<0.5): positive (p=<0.01), negative (p= <0.001), mania (p= <0.01), depression (p= <0.001) and disorganisation (p=0.04) within the combined casecontrol sample, but not with these dimensions in cases and controls examined separately (Derks et al. 2012). 

the inconsistency of reporting of results across studies meant that only a narrative approach to this review was feasible, and assessment of publication bias was not possible. 

The SZ-PRS was also associated with a number of other, non-psychiatric outcomes, including diabetes, RA and CD (Stringer et al. 2014), though results were not consistent across studies. 

Higher SZ-PRS was associated with lower total IQ in a combined schizophrenia case–control sample (strongest PT<0.3, p=8x10-4), but this was attenuated when analysing cases only (p=0.067), with no association in controls (van Scheltinga et al. 2013).