2019
DOI: 10.20900/jpbs.20190011
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Endophenotype Potential of Nucleus Accumbens Functional Connectivity: Effects of Polygenic Risk for Schizophrenia Interacting with Childhood Adversity

Abstract: Epidemiological and genetic studies suggest that schizophrenia (SCZ) is associated with both polygenic and environmental risk factors. Little is known if these factors project on common functional circuits relevant to the pathophysiology of SCZ. Here we focussed on resting state functional MRI (rsfMRI) as a biological measure to investigate if genetic and environmental factors for SCZ risk affect the same circuits in healthy controls as well as patients. For this, we compared the effects of a polygenic risk sc… Show more

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Cited by 3 publications
(1 citation statement)
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“…For instance, insular connectivity networks have been correlated with cross-disorder PGS, as well as PGSs for bipolar disorder, autism, and schizophrenia, but not major depression or ADHD (Wang et al, 2017). Stronger global and regionally specific connectivity of the nucleus accumbens, which is known to be altered in schizophrenia (Eberle et al, 2019;Lee et al, 2018), has been associated with increased PGS for this disorder in healthy subjects (Eberle et al, 2019). It is important to note, however, that the limited predictive accuracy of polygenic scores may partly reflect the fact that PGSs do not consider rare variants, which tend to have larger phenotypic effects (Bomba et al, 2017).…”
Section: Association Analysesmentioning
confidence: 99%
“…For instance, insular connectivity networks have been correlated with cross-disorder PGS, as well as PGSs for bipolar disorder, autism, and schizophrenia, but not major depression or ADHD (Wang et al, 2017). Stronger global and regionally specific connectivity of the nucleus accumbens, which is known to be altered in schizophrenia (Eberle et al, 2019;Lee et al, 2018), has been associated with increased PGS for this disorder in healthy subjects (Eberle et al, 2019). It is important to note, however, that the limited predictive accuracy of polygenic scores may partly reflect the fact that PGSs do not consider rare variants, which tend to have larger phenotypic effects (Bomba et al, 2017).…”
Section: Association Analysesmentioning
confidence: 99%