A genome-wide association study of suicide severity scores in bipolar disorder

https://doi.org/10.1016/j.jpsychires.2014.11.002Get rights and content

Highlights

  • We performed a genome-wide association study (GWAS) of suicide behaviour severity.

  • Our GWAS was conducted in three samples of bipolar disorder patients.

  • Suggestive associations were found in chromosomes 8p23-p24 and 10p11.

Abstract

Background

Suicide claims one million lives worldwide annually, making it a serious public health concern. The risk for suicidal behaviour can be partly explained by genetic factors, as suggested by twin and family studies (reviewed in (Zai et al. 2012)). Recently, genome-wide association studies (GWASs) of suicide attempt on large samples of bipolar disorder (BD) patients from multiple sites have identified a number of novel candidate genes. GWASs of suicide behaviour severity, from suicidal ideation to serious suicide attempt, have not been reported for BD.

Methods

We conducted a GWAS of suicide behaviour severity in three independent BD samples:212 small nuclear families with BD probands from Toronto, Canada, 428 BD cases from Toronto, and 483 BD cases from the UK. We carried out imputation with 1000 Genome Project data as reference using IMPUTE2. Quality control and data analysis was conducted using PLINK and R. We conducted the quantitative analyses of suicide behaviour severity in the three samples separately, and derived an overall significance by a meta-analysis using the METAL software.

Results

We did not find genome-wide significant association of any tested markers in any of the BD samples, but we found a number of suggestive associations, including regions on chromosomes 8 and 10 (p < 1e-5).

Conclusions

Our GWAS findings suggest that likely many gene variants of small effects contribute collectively to the risk for suicidal behaviour severity in BD. Larger independent replications are required to strengthen the findings from the GWAS presented here.

Introduction

Suicide claims 1 million lives each year worldwide, and for each completed suicide, there are twenty suicide attempts, making it an important public health issue. Over 90% of suicide victims have at least one psychiatric diagnosis, including bipolar disorder (BD) (Mann, 2002), where as much as 8% of BD followed for up to 40 years committed suicide (Angst et al., 2002, Nordentoft et al., 2011).

Suicide has a prominent genetic component (reviewed in (Zai et al., 2012)). Suicide attempts tend to occur more often within families (Brent et al., 2002, Johnson et al., 1998). Greater concordance was observed between monozygotic twins than between dizygotic twins (Roy and Segal, 2001, Statham et al., 1998). The concordant phenotype includes both completed and attempted suicides (Roy et al., 1995). A review of twin studies estimated the heritability of suicidal behaviour to be up to 55% (Voracek and Loibl, 2007).

A number of linkage studies have been conducted on suicide starting with Zubenko and coworkers (Zubenko et al., 2004). Their findings on the short arm of chromosome 2 were later replicated in 162 BD families (Willour et al., 2007), and more recently confirmed in the regional linkage study meta-analysis of 2p12 (Butler et al., 2010). Recent technological advances have permitted the high-throughput genotyping of hundreds of thousands of single-nucleotide polymorphisms across the genome. While no genome-wide significant findings (at significance levels of less than 5 × 10−8) have been reported to date, a number of suggestive findings have emerged (Perroud et al., 2011, Schosser et al., 2011). Recently, a genome-wide association study (GWAS) was reported on samples of 2698 BD patients of which 1201 had a previous suicide attempt. After meta-analysis of markers with p < 1 × 10−3 from their discovery sample (GAIN, TGEN, German) with their replication BD sample (STEP-BD, WTCCC, UCL), the most significantly associated marker was rs300774 in an intergenic region at chromosomal region 2p25, which contains the SH3YL1, ACP1, and FAM150B genes. The association finding was supported by post-mortem prefrontal cortical gene expression analysis, where suicide completers were found to have significantly higher ACP1 expression than non-suicide victims (Willour et al., 2012). The strongest association signal from another report of a GWAS of suicide attempt on the BD (STEP-BD, WTCCC, UCL) came from the intergenic chromosome 10 marker rs1466846; this finding was not replicated in the replication sample (GAIN, TGEN, German) (Perlis et al., 2010). Part of the reason for both lack of a strong association signal and robust replication could be that the samples are underpowered for analysis due to dichotomizing of the suicide attempt as the outcome variable. A GWAS on suicidality scores, which are derived from the Schedule for Clinical Assessment in Neuropsychiatry (SCAN) interview, was conducted with a major depression sample from the RADIANT study (Schosser et al., 2011). The suicidality score captures suicide severity from suicide ideation to attempt. The most significant findings from the RADIANT sample failed to replicate in the German replication sample.

In the present study, to address the issue of power with the dichotomous variable, we carried out a similar GWAS using the quantitative variable of suicide severity in three samples of BD patients.

Section snippets

Methods

The characteristics of the samples included in this study have been described previously (Scott et al., 2009, Xu et al., 2014). For the first sample, two hundred and twelve small nuclear families (Sample CA1) were recruited at the Centre for Addiction and Mental Health (CAMH) in Toronto, Canada. Suicidality was assessed using the semi-structured interview for DSM-IV, with the Suicide Specifier Score: 0 for non-suicidal, 1 for having thoughts of own death, 2 for having suicidal ideation, 3 for

Results

We found 2,659,407 markers to be common across all three samples after imputation with the 1000 Genome Project data. With these 2.66 million markers, we ran a meta-analysis for which the results are summarized in Fig. 1 (quantile–quantile plot: genomic inflation value (lambda) = 0.99) and Figs. 2 and S2 (Manhattan plot).

We found markers in two chromosomal regions to have suggestive associations with suicide severity (Supplementary Table 1: 41 markers with uncorrected p < 1e-5; Table 2a: 14

Discussion

We report here interesting findings in two chromosomal regions from the first GWAS meta-analysis of suicide severity in BD patients.

The region of interest on chromosome 8 is located 5' of the PENK gene that codes for an opioid polypeptide hormone proenkephalin. The PENK protein is expressed in most tissues including the central nervous system, with the highest expression in the caudate nucleus, putamen, central nucleus, and nucleus accumbens. Genetic mouse models have implicated PENK in

Role of funding sources

This project was supported by Grant 2PDF-00065-1208-0609-1209 awarded to [CCZ] from the American Foundation for Suicide Prevention. The content is solely the responsibility of the authors and does not necessarily represent the official views of the American Foundation for Suicide Prevention. Other funding sources include: Canadian Institutes for Health Research [JLK (MOP-115097), JBV (MOP-84391), VdL (MOP-115689, MOP-119332)], Eli Lilly [CCZ], Brain and Behavior Research Foundation (NARSAD

Contributors

CCZ, JLK, and JBV designed the present study. JBV, GH, SAS, NK, GB, AF, PM were involved in the collection of clinical and genetic data. CCZ, VG, AKT, SAG, VdL, JS, QC, WX, CML, and JK were involved in the data analysis. CCZ wrote the first draft of the manuscript. All authors have approved the final manuscript.

Conflict of interest

JLK: honoraria from Roche, Novartis, and Lilly. CCZ: honorarium from WebMD for Medscape review. JLK & CCZ: patent application “Genetic Markers Associated with Suicide Risk and Methods of Use Thereof” submitted. VG, AKT, SAG, GH, VdL, SAS, JS, GB, NK, QC, WX, CML, AF, PM, JK, and JBV reported no conflict of interest.

Acknowledgements

We also thank Dr. Bryan Howie for his consultation with imputation and Dr. Jian Yang for his assistance in using GCTA. We also thank the participants in the study.

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