Analysing an allelic series of rare missense variants of CACNA1I in a Swedish schizophrenia cohort

Author:

Baez-Nieto David1ORCID,Allen Andrew1,Akers-Campbell Seth2,Yang Lingling1,Budnik Nikita1,Pupo Amaury3,Shin Young-Cheul4,Genovese Giulio1,Liao Maofu4,Pérez-Palma Eduardo56,Heyne Henrike7,Lal Dennis589,Lipscombe Diane2,Pan Jen Q.1

Affiliation:

1. Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA

2. Carney Institute for Brain Science & Department of Neuroscience, Brown University, Providence, RI 02912, USA

3. Department of Biology, West Virginia University, Morgantown, West Virginia 26506, USA

4. Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA

5. Genomic Medicine Institute, Lerner Research institute, Cleveland Clinic, OH 44195, USA

6. Universidad del Desarrollo, Centro de Genética y Genómica, Facultad de Medicina Clínica Alemana, Santiago 7590943, Chile

7. Genomic Medicine, Hasso Plattner Institute, Potsdam, 14482 Germany

8. Cologne Center for Genomics, University of Cologne, Cologne 50931, Germany

9. Epilepsy Center, Neurological Institute, Cleveland Clinic, Cleveland, OH 44195, USA

Abstract

Abstract CACNA1I is implicated in the susceptibility to schizophrenia by large-scale genetic association studies of single nucleotide polymorphisms. However, the channelopathy of CACNA1I in schizophrenia is unknown. CACNA1I encodes CaV3.3, a neuronal voltage-gated calcium channel that underlies a subtype of T-type current that is important for neuronal excitability in the thalamic reticular nucleus (TRN) and other regions of the brain. Here, we present an extensive functional characterization of 57 naturally occurring rare and common missense variants of CACNA1I derived from a Swedish schizophrenia cohort of more than 10,000 individuals. Our analysis of this allelic series of coding CACNA1I variants revealed that reduced CaV3.3 channel current density was the dominant phenotype associated with rare CACNA1I coding alleles derived from control subjects, whereas rare CACNA1I alleles from schizophrenia patients encoded CaV3.3 channels with altered responses to voltages. CACNA1I variants associated with altered current density primarily impact the ionic channel pore, and those associated with altered responses to voltage impact the voltage-sensing domain. CaV3.3 variants associated with altered voltage dependence of the CaV3.3 channel and those associated with peak current density deficits were significantly segregated across affected and unaffected groups (Fisher’s exact test, P = 0.034). Our results, together with recent data from the SCHEMA (Schizophrenia Exome Sequencing Meta-analysis) cohort, suggest that reduced CaV3.3 function may protect against schizophrenia risk in rare cases. We subsequently modeled the effect of the biophysical properties of CaV3.3 channel variants on TRN excitability and found that compared with common variants, ultrarare CaV3.3 coding variants derived from control subjects significantly decreased TRN excitability (P = 0.011). When all rare variants were analyzed, there was a nonsignificant trend between variants that reduced TRN excitability and variants that either had no effect or increased TRN excitability across disease status. Taken together, the results of our functional analysis of an allelic series of >50 CACNA1I variants in a schizophrenia cohort reveal that loss of function of CaV3.3 is a molecular phenotype associated with reduced disease risk burden, and our approach may serve as a template strategy for channelopathies in polygenic disorders.

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3