Department of Pharmacogenomics, Shenandoah University, Fairfax, VA, USA.
Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Neuropsychopharmacology. 2021 Sep;46(10):1802-1810. doi: 10.1038/s41386-021-01057-8. Epub 2021 Jun 18.
Identifying genetic contributors to cognitive impairments in psychosis-spectrum disorders can advance understanding of disease pathophysiology. Although CNS medications are known to affect cognitive performance, they are often not accounted for in genetic association studies. In this study, we performed a genome-wide association study (GWAS) of global cognitive performance, measured as composite z-scores from the Brief Assessment of Cognition in Schizophrenia (BACS), in persons with psychotic disorders and controls (N = 817; 682 cases and 135 controls) from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study. Analyses accounting for anticholinergic exposures from both psychiatric and non-psychiatric medications revealed five significantly associated variants located at the chromosome 3p21.1 locus, with the top SNP rs1076425 in the inter-alpha-trypsin inhibitor heavy chain 1 (ITIH1) gene (P = 3.25×E-9). The inclusion of anticholinergic burden improved association models (P < 0.001) and the number of significant SNPs identified. The effect sizes and direction of effect of the top variants remained consistent when investigating findings within individuals receiving specific antipsychotic drugs and after accounting for antipsychotic dose. These associations were replicated in a separate study sample of untreated first-episode psychosis. The chromosome 3p21.1 locus was previously reported to have association with the risk for psychotic disorders and cognitive performance in healthy individuals. Our findings suggest that this region may be a psychosis risk locus that is associated with cognitive mechanisms. Our data highlight the general point that the inclusion of medication exposure information may improve the detection of gene-cognition associations in psychiatric genetic research.
确定精神分裂谱系障碍认知障碍的遗传因素可以促进对疾病病理生理学的理解。虽然中枢神经系统药物已知会影响认知表现,但在遗传关联研究中通常不会考虑这些药物。在这项研究中,我们对来自双相情感障碍-精神分裂症网络中间表型(B-SNIP)研究的精神分裂症患者和对照组(N=817;682 例病例和 135 例对照)的整体认知表现(以Brief Assessment of Cognition in Schizophrenia [BACS] 的综合 z 分数衡量)进行了全基因组关联研究(GWAS)。分析考虑了来自精神科和非精神科药物的抗胆碱能暴露情况,发现五个与染色体 3p21.1 位置相关的显著变体,位于 inter-alpha-trypsin inhibitor heavy chain 1 (ITIH1) 基因中的 top SNP rs1076425 (P=3.25×E-9)。纳入抗胆碱能负担可改善关联模型(P<0.001)并增加确定的显著 SNP 数量。当在接受特定抗精神病药物的个体中调查发现结果并在考虑抗精神病药物剂量后,顶级变体的效应大小和效应方向保持一致。在未经治疗的首发精神病患者的单独研究样本中对这些关联进行了复制。先前报道称,染色体 3p21.1 位置与精神分裂症的风险和健康个体的认知表现有关。我们的研究结果表明,该区域可能是与认知机制相关的精神分裂症风险区域。我们的数据强调了一个普遍观点,即纳入药物暴露信息可能会提高精神遗传研究中基因-认知关联的检测。