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Published Online: 1 August 2019

The Promise and Limits of Suicide Genetics

Rising rates of suicide constitute a major threat to public health worldwide. The latest national epidemiological survey of U.S. adults showed a recent overall increase in suicide attempts among those with less formal education and those with depressive and anxiety disorders, among other groups (1). In addition to imposing an enormous emotional burden on families and communities, suicide attempts carry a high risk of mortality (2) and often lead to high costs, both direct and indirect (3). Faced with this increasing burden of suicidal behavior, researchers have redoubled their efforts to elucidate risk factors and preventive strategies for suicide.
Genetic contributions to suicidal behavior have long been suspected on the basis of family, twin, and adoption studies (reviewed in reference 4). However, genome-wide association studies (GWASs), which have successfully detected numerous genetic markers for a variety of psychiatric and other common illnesses, have until now failed to find statistically significant markers for suicide. In this issue of the Journal, Mullins et al. (5) report the results of a large-scale GWAS of suicidal behavior—the largest to date—based on several samples contributed to the Psychiatric Genomics Consortium. The researchers compared genetic marker data obtained from people diagnosed with major depressive disorder, bipolar disorder, or schizophrenia who reported suicide attempts to data from people with the same diagnoses who denied any history of suicidal behavior. This design controls for the fact that almost everyone who engages in suicidal behavior suffers from a mental illness. A meta-analysis was then conducted across all three diagnostic groups, enhancing the opportunities to detect cross-diagnostic markers of suicidal behavior. Finally, the authors used the polygenic risk score (PRS) approach to investigate whether genetic liability to depression, bipolar disorder, or schizophrenia per se was associated with risk of suicide attempts.

Key Findings

The results represent an important step forward in the genetics of suicidal behavior. In people with bipolar disorder, suicide attempts were associated in a small but significant way with a common genetic marker on chromosome 4. Although this marker does not immediately implicate any particular genes, the marker also reached genome-wide significance in the meta-analysis of suicide attempts in mood disorders, suggesting that it is picking up something that bipolar disorder and major depression have in common, perhaps depressive symptoms. The marker was not replicated in the two large independent mood disorder cohorts tested, however, so replication is advisable before pursuing this region on a molecular basis.
The PRS results were especially intriguing. PRS adds up the risk conferred by thousands of genetic markers across the whole genome (Figure 1), so it can account for the large number of small genetic effects typically seen in complex disorders (6). PRS is especially useful when complex traits are determined by variations that have small effect sizes, occur in many genes, and interact with environmental factors over a long period of time (7). Here the PRS analysis showed that genetic risk for major depression increases risk for suicide attempts in people with major depression, as might be expected. However, the results showed that genetic risk for major depression also increased risk for suicide in people diagnosed with bipolar disorder or schizophrenia. Genetic risk for bipolar disorder or schizophrenia showed no such association with suicide attempts. As Mullins et al. note: “This study is the first to show that across disorders, suicide attempters carry a greater burden of depression risk alleles rather than simply a higher genetic liability for the psychiatric disorder they are affected by.” This finding is also a reminder that everyone carries a blended mix of many different risk alleles for many different disorders and that one genetically influenced trait—here suicidal behavior—may become apparent in the setting of another disorder.
FIGURE 1. Distribution of polygenic risk scoresa
a Polygenic risk scores show a normal distribution in the population, so most people have intermediate scores for any given disease or trait. People at the extremes of the distribution, however, may show significant differences in rates of disease whose magnitude is a function of heritability, nongenetic risk factors, and other variables (green line).

Limitations

As the largest suicide GWAS to date, this study provides a solid starting point and some valuable clues about the underlying genetic architecture of suicide, but some important limitations should be kept in mind. First, the scoring of suicide attempt and non-attempt was based on various clinical assessments, with variable definitions of what constitutes a suicide attempt, and strong reliance on self-report, which may underestimate suicidal behavior. This heterogeneous case definition may help explain the lack of replication for the top GWAS hit. Second, this study, like most in the literature, only includes people who survived a suicide attempt, thus excluding the more than 50% of suicidal patients who die in their first attempt (2) and may well represent those at highest genetic risk. Finally, while this study used lifetime suicide attempts as the main trait, other clinical variables, such as recurrence (8), use of guns or other violent means of death, and planned versus impulsive attempts, may help define important clinical and genetic subtypes with greater shared genetics and biology (4).
One big question raised by studies like this has to do with what a “depression polygenic score” really represents. There is a very wide range of people who may be included as “cases” in a genetic study of depression, ranging from those with recurrent, severe, psychotic major depression to those who simply endorse some depressive symptoms on a questionnaire. Most of the genetic risk factors for depression that have been found so far come from GWASs based largely on less severe, nonclinical samples. Comparison with other GWASs shows strong genetic overlaps with anxiety, neuroticism, smoking, and general help-seeking, which may be quite different from what most clinicians would diagnose as major depressive disorder (9, 10). Significant genetic correlations between suicide attempts and depressive symptoms, major depression, neuroticism, and disordered sleep traits have also been reported (11). Taken together, these findings suggest that a “depression polygenic score” actually reflects a very broad range of psychopathology, far beyond DSM definitions of major depression. This may be one reason only the “depression” PRS was associated with suicidal behavior across diagnoses. This has important clinical implications, suggesting that we need to take a wider view of who is at risk for suicide so that primary prevention can be undertaken. It also suggests that untangling the shared genetics of depression, anxiety, neuroticism, and other common ills will be very challenging.
PRS has gained popularity in many fields of medicine because there is hope that as information from GWASs accumulates, PRS could play a role in identifying people at high risk for a given disease or even assist with diagnosis (7, 12). Right now, however, we are nowhere near the point where we can use PRS in the psychiatric clinic. Even the strongest predictions we have so far (based on GWAS of schizophrenia) show that more than 80% of people with a high schizophrenia PRS have not been diagnosed with schizophrenia (13). In general, a low PRS is no guarantee that disease will not occur, and even for a person with a high PRS, both rare genetic variants (not counted in the PRS) and nongenetic factors—including therapeutic interventions—clearly play important roles in risk and resilience. While evidence from the cardiovascular literature suggests that individuals with a high PRS for heart disease are at clinically significant risk for myocardial infarction and may benefit from early prevention (14), further research, including much larger GWASs with longitudinal follow-up, will be needed to determine whether PRS will have any such clinical utility in psychiatric care.

Future Perspectives

Additional work in larger samples is needed to untangle the many genetic and nongenetic contributions to suicide and the pathways through which risk factors act. Some of these risk factors may be detectable early, with promise for primary prevention. The PRS approach used in the Mullins et al. study will continue to shed light on the important genetic overlaps among diagnostically distinct conditions but is still far from the point where PRS will demonstrate utility in the psychiatric clinic. As confirmed genetic associations with suicide attempts accumulate, they should help build a more solid basis for research into the molecular basis of this all too common and deadly behavior.

Acknowledgments

The authors thank Beth Sherman for writing assistance.

References

1.
Olfson M, Blanco C, Wall M, et al: National trends in suicide attempts among adults in the United States. JAMA Psychiatry 2017; 74:1095–1103
2.
Bostwick JM, Pabbati C, Geske JR, et al: Suicide attempt as a risk factor for completed suicide: even more lethal than we knew. Am J Psychiatry 2016; 173:1094–1100
3.
Goldston DB, Daniel SS, Erkanli A, et al: Suicide attempts in a longitudinal sample of adolescents followed through adulthood: evidence of escalation. J Consult Clin Psychol 2015; 83:253–264
4.
Turecki G, Brent DA: Suicide and suicidal behaviour. Lancet 2016; 387:1227–1239
5.
Mullins N, Bigdeli TB, Børglum AD, et al: GWAS of suicide attempt in psychiatric disorders and association with major depression polygenic risk scores. Am J Psychiatry 2019; 176:651–660
6.
Wray NR, Lee SH, Mehta D, et al: Research review: polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry 2014; 55:1068–1087
7.
Sugrue LP, Desikan RS: What are polygenic scores and why are they important? JAMA 2019; 321:1820–1821
8.
Pagura J, Cox BJ, Sareen J, et al: Factors associated with multiple versus single episode suicide attempts in the 1990–1992 and 2001–2003 United States National Comorbidity Surveys. J Nerv Ment Dis 2008; 196:806–813
9.
Ohi K, Otowa T, Shimada M, et al: Shared genetic etiology between anxiety disorders and psychiatric and related intermediate phenotypes. Psychol Med (Epub ahead of print, March 28, 2019)
10.
Cai N, Kendler KS, Flint J: Minimal phenotyping yields GWAS hits of low specificity for major depression. bioRxiv, Oct 11, 2018 (https://doi.org/10.1101/440735)
11.
Ruderfer DM, Walsh CG, Aguirre MW, et al: Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide. Mol Psychiatry (Epub ahead of print, Jan 4, 2019)
12.
Torkamani A, Wineinger NE, Topol EJ: The personal and clinical utility of polygenic risk scores. Nat Rev Genet 2018; 19:581–590
13.
Schizophrenia Working Group of the Psychiatric Genomics Consortium: Biological insights from 108 schizophrenia-associated genetic loci. Nature 2014; 511:421–427
14.
Rao AS, Knowles JW: Polygenic risk scores in coronary artery disease. Curr Opin Cardiol 2019; 34:435–440

Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 600 - 602
PubMed: 31366231

History

Accepted: 12 June 2019
Published online: 1 August 2019
Published in print: August 01, 2019

Keywords

  1. Genetics
  2. Suicide
  3. Polygenic Risk Scoring
  4. Genome-Wide Association Study

Authors

Details

Fabiana L. Lopes, M.D., Ph.D.
The Intramural Research Program, NIMH, Bethesda, Md.
Francis J. McMahon, M.D.
The Intramural Research Program, NIMH, Bethesda, Md.

Notes

Send correspondence to Dr. McMahon ([email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

Supported in part by the NIMH Intramural Research program.

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