aDepartment of Psychiatry and Psychology, School for Mental Health and Neuroscience, European Graduate School of Neuroscience (EURON), South Limburg Mental Health Research and Teaching Network (SEARCH), Maastricht University Medical Centre Maastricht
bGGzE, Institute for Mental Health Care Eindhoven en de Kempen, Eindhoven, The Netherlands
cKing’s College London, King’s Health Partners, Department of Psychosis Studies, Institute of Psychiatry, London, UK
Correspondence to Baer Arts, MD, Department Psychiatry and Psychology, School for Mental Health and Neuroscience, European Graduate School of Neuroscience (EURON), South Limburg Mental Health Research and Teaching Network (SEARCH), Maastricht University, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands Tel: +31 43 3874130; fax: +31 43 3875444; e-mail: email@example.com
Received February 29, 2012
Accepted June 12, 2012
A recent 2-year naturalistic study on cognitive functioning in bipolar patients showed significant variations in cognitive functioning over time, largely independent of clinical factors (Arts et al., 2011). The CACNA1C (α 1C subunit of the L-type voltage-gated calcium channel) risk allele (rs1006737) is associated with a risk of bipolar disorder across samples, with highly consistent replications in recent GWAS studies (Lett et al., 2011).
The aim of the present study was to examine the association of the CACNA1C risk allele (rs1006737) with longitudinal cognitive functioning in a European sample of patients with bipolar disorder and in two groups at a high and an average genetic risk for bipolar disorder: first-degree relatives and healthy controls.
Individuals were participants in the BIPOLCOG (BIPOLar and COGnition) study (Jabben et al., 2009). The final risk set for analysis included 51 patients, 34 first-degree relatives and 50 healthy controls. Genetic material was collected at the first visit.
Patients were examined at 2-monthly intervals over a period of 2 years, yielding 12 assessments of cognitive functioning over the 2-year period. Cognitive measures were standardized; raw test scores were converted into standardized z-scores against the means and SD of the healthy control group (tested twice over 4 months). The final composite measure of neurocognition was based on the means of the five domain scores (verbal memory, sustained attention, selective attention, attentional span and working memory).
Regression analyses were carried out using the statistical software program STATA (version 11.2) (StataCorp, 2002). The Bonferroni correction for multiple testing yielded a corrected P-value of less than 0.0045 (0.05/11).
Genotype effects under a – statistically most conservative – recessive genetic model were estimated by comparing the differences between GG versus AG and GG versus AA.
Analysis of SNP rs1006737 showed the following in bipolar patients: six patients were homozygous for the risk allele (A/A), 21 patients were heterozygous (A/G) and 24 individuals belonged to the nonrisk group (G/G). In the group of first-degree relatives (assessed twice over 4 months), only one patient was homozygous for the risk allele; 15 relatives were heterozygous and 18 belonged to the nonrisk group. Finally, two healthy controls were homozygous for the risk allele, 24 were heterozygous and 24 carried the nonrisk allele. Genotypes in all groups were in Hardy–Weinberg equilibrium (P>0.1 for all).
The AG genotype was not associated with any of the cognitive measures in bipolar patients. The AA genotype, however, was associated with poorer cognitive performance on several tasks, particularly in the area of speed of processing (−0.27<β<−0.18; 0.048<P<0.011). However, none of the individual cognitive tests survived Bonferroni correction. The composite cognitive measure, however, survived correction with a moderate effect size of −0.26 (P=0.003; Nobs=392).
The finding of a negative association between the AA genotype and the composite cognitive measure could be replicated in neither relatives (Nobs=62; β=0.06; P=0.647) nor controls (Nobs=91; β=−0.03; P=0.82).
Patients with bipolar disorder showed a negative effect of the CACNA1C risk allele rs1006737 on a composite cognitive measure, only apparent in the group homozygous for this allele, fitting a recessive model. This finding could not be replicated in a group of first-degree relatives or in healthy controls, indicating interactions with background genetic factors associated with bipolar disorder.
This study was supported in part by unrestricted grants from AstraZeneca (the Netherlands) and Eli Lilly (the Netherlands).
Conflicts of interest
Jim van Os is/has been an unrestricted research grant holder with, or has received financial compensation as an independent symposium speaker from Eli Lilly, BMS, Lundbeck, Organon, Janssen-Cilag, GSK, AstraZeneca, Pfizer and Servier, companies that have an interest in the treatment of psychosis. For the remaining authors there are no conflicts of interest.
Arts B, Jabben N, Krabbendam L, van Os J. A 2-year naturalistic study on cognitive functioning in bipolar disorder. Acta Psychiatr Scand. 2011;123:190–205
Jabben N, Arts B, Krabbendam L, van Os J. Investigating the association between neurocognition and psychosis in bipolar disorder: further evidence for the overlap with schizophrenia. Bipolar Disord. 2009;11:166–177
Lett TA, Zai CC, Tiwari AK, Shaikh SA, Likhodi O, Kennedy JL, et al. ANK3, CACNA1C and ZNF804A gene variants in bipolar disorders and psychosis subphenotype. World J Biol Psychiatry. 2011;12:392–397
STATA Statistical Software. 2002Release 8.0 ed. College Station, TX StataCorp
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