Prefrontal Inefficiency Is Associated With Polygenic Risk for Schizophrenia

被引:41
|
作者
Walton, Esther [1 ]
Geisler, Daniel [1 ]
Lee, Phil H. [2 ,3 ,4 ]
Hass, Johanna [1 ]
Turner, Jessica A. [5 ]
Liu, Jingyu [5 ]
Sponheim, Scott R. [6 ,7 ]
White, Tonya [8 ]
Wassink, Thomas H. [9 ]
Roessner, Veit [1 ]
Gollub, Randy L. [3 ,10 ]
Calhoun, Vince D. [5 ,11 ]
Ehrlich, Stefan [1 ,3 ,10 ]
机构
[1] Tech Univ Dresden, Univ Hosp Carl Gustav Carus, Dept Child & Adolescent Psychiat, D-01307 Dresden, Germany
[2] Massachusetts Gen Hosp, Ctr Human Genet Res, Analyt & Translat Genet Unit, Boston, MA 02114 USA
[3] Harvard Univ, Sch Med, Dept Psychiat, Massachusetts Gen Hosp, Boston, MA 02115 USA
[4] Broad Inst MIT & Harvard, Stanley Ctr Psychiat Res, Cambridge, MA USA
[5] Mind Res Network, Albuquerque, NM USA
[6] Minneapolis Vet Affairs Hlth Care Syst, Minneapolis, MN USA
[7] Univ Minnesota, Dept Psychiat, Minneapolis, MN 55455 USA
[8] Erasmus Univ, Dept Child & Adolescent Psychiat, Rotterdam, Netherlands
[9] Univ Iowa, Dept Psychiat, Iowa City, IA 52242 USA
[10] Massachusetts Gen Hosp, MGH MIT HMS Martinos Ctr Biomed Imaging, Charlestown, MA USA
[11] Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
基金
美国国家卫生研究院;
关键词
schizophrenia; DLPFC; working memory; intermediate phenotype; fMRI; genetic risk score; GENOME-WIDE ASSOCIATION; BIPOLAR DISORDER; WORKING-MEMORY; INTERMEDIATE PHENOTYPES; CORTICAL THICKNESS; GENE-EXPRESSION; CORTEX; FMRI; POLYMORPHISM; DISEASE;
D O I
10.1093/schbul/sbt174
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Considering the diverse clinical presentation and likely polygenic etiology of schizophrenia, this investigation examined the effect of polygenic risk on a well-established intermediate phenotype for schizophrenia. We hypothesized that a measure of cumulative genetic risk based on additive effects of many genetic susceptibility loci for schizophrenia would predict prefrontal cortical inefficiency during working memory, a brain-based biomarker for the disorder. The present study combined imaging, genetic and behavioral data obtained by the Mind Clinical Imaging Consortium study of schizophrenia (n = 255). For each participant, we derived a polygenic risk score (PGRS), which was based on over 600 nominally significant single nucleotide polymorphisms, associated with schizophrenia in a separate discovery sample comprising 3322 schizophrenia patients and 3587 control participants. Increased polygenic risk for schizophrenia was associated with neural inefficiency in the left dorsolateral prefrontal cortex after covarying for the effects of acquisition site, diagnosis, and population stratification. We also provide additional supporting evidence for our original findings using scores based on results from the Psychiatric Genomics Consortium study. Gene ontology analysis of the PGRS highlighted genetic loci involved in brain development and several other processes possibly contributing to disease etiology. Our study permits new insights into the additive effect of hundreds of genetic susceptibility loci on a brain-based intermediate phenotype for schizophrenia. The combined impact of many common genetic variants of small effect are likely to better reveal etiologic mechanisms of the disorder than the study of single common genetic variants.
引用
收藏
页码:1263 / 1271
页数:9
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