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. 2020 Jan;183(1):38-50.
doi: 10.1002/ajmg.b.32756. Epub 2019 Aug 19.

Nordic OCD & Related Disorders Consortium: Rationale, design, and methods

Affiliations

Nordic OCD & Related Disorders Consortium: Rationale, design, and methods

David Mataix-Cols et al. Am J Med Genet B Neuropsychiatr Genet. 2020 Jan.

Abstract

Obsessive-compulsive disorder (OCD) is a debilitating psychiatric disorder, yet its etiology is unknown and treatment outcomes could be improved if biological targets could be identified. Unfortunately, genetic findings for OCD are lagging behind other psychiatric disorders. Thus, there is a pressing need to understand the causal mechanisms implicated in OCD in order to improve clinical outcomes and to reduce morbidity and societal costs. Specifically, there is a need for a large-scale, etiologically informative genetic study integrating genetic and environmental factors that presumably interact to cause the condition. The Nordic countries provide fertile ground for such a study, given their detailed population registers, national healthcare systems and active specialist clinics for OCD. We thus formed the Nordic OCD and Related Disorders Consortium (NORDiC, www.crowleylab.org/nordic), and with the support of NIMH and the Swedish Research Council, have begun to collect a large, richly phenotyped and genotyped sample of OCD cases. Our specific aims are geared toward answering a number of key questions regarding the biology, etiology, and treatment of OCD. This article describes and discusses the rationale, design, and methodology of NORDiC, including details on clinical measures and planned genomic analyses.

Keywords: Denmark; GWAS; Norway; OCD; Sweden; genetic.

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Conflict of interest statement

Financial Disclosures

The authors report no biomedical financial interests or potential conflicts of interest.

Figures

Figure 1.
Figure 1.
NORDiC study overview.
Figure 2.
Figure 2.
NORDiC sample collection sites.
Figure 3.
Figure 3.
Statistical power for OCD GWAS across the allelic spectrum. Curves indicate minimal detectable relative risk with 80% power. For reference, schizophrenia genome-wide significant SNPs are shown in green.(“Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci,” 2014)

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