Skip to content

Research / Funded grants

2022 Postdoctoral Fellowship

Suicide-associated Loci Regulating Molecular Traits and Their Interaction With Environmental Factors

3 research findings from this AFSP-funded study.

Research finding · July 2026

Latin American suicide genetic research needs larger, more representative research

Suicide rates in parts of Latin America have increased in recent years, even as global suicide rates have declined overall. At the same time, Latin American and Hispanic/Latinx populations remain significantly underrepresented in genomic research (i.e., all genes) on suicidal thoughts and behaviors. This matters because most genomic studies of suicide risk have been conducted in populations of primarily European ancestry, limiting how well findings may generalize across populations with different genetic backgrounds, environmental exposures, and lived experiences. Latin American populations are also highly diverse and admixed, with varying Indigenous, African, and European ancestry, making it especially important for suicide genomics research to account for ancestry, culture, and regional context. Expanding this work could help create a more accurate and inclusive understanding of the biological and environmental factors that shape suicide risk across populations.

With her AFSP-funded work, Dr. Brenda Cabrera-Mendoza reviewed studies examining the biological and genetic factors linked to suicidal thoughts and behaviors in Latin American and Hispanic/Latinx populations. The review included 59 studies focused on suicidal ideation, suicide attempts, nonsuicidal self-injury, and suicide death, and found that this area of research remains relatively limited and fragmented. Many earlier studies focused on genes related to stress, mood, and serotonin signaling, but findings were often inconsistent across studies. More recent large-scale genetic studies showed some promising genetic patterns that may differ across ancestry groups, although researchers noted that small sample sizes and limited representation continue to make findings difficult to interpret with confidence. The review also identified possible links between suicide risk and biological systems involved in stress regulation, immune functioning, and brain development, though much more research is needed to confirm these findings. Overall, the paper highlights the importance of building larger, more collaborative, and more representative suicide research efforts in Latin American and Hispanic/Latinx populations so that future findings better reflect the diversity of the communities being studied.

Citation: Cabrera-Mendoza, B., Panzenhagen, A. C., de Anda-Jáuregui, G., He, J., Magalhaes, P. V. S., Martínez-Magaña, J. J., … Suicide Working Group from the Latin American Genomics Consortium. (2026). Genomic Studies of Suicidal Thoughts and Behaviors in Latin American Populations: A Systematic Review. Biol Psychiatry. https://doi.org/10.1016/j.biopsych.2025.12.009

This finding comes from an AFSP-funded study — see the grant below ↓

Research finding · August 2025

A myriad of factors contribute to the lack of research on suicide in Latin America

Suicide is a growing public health concern in Latin America, where the suicide rate increased by 6% between 2010 and 2016, opposite the global trend of decline. Despite comprising a large portion of the global population, Latin American countries remain underrepresented in suicide research. Cultural stigma, systemic underfunding of mental health services, and wide disparities in access to care all contribute to significant unmet needs. The region’s suicide risk is shaped by unique contributors which include entrenched gender norms, high alcohol use, social unrest, migration, and historical marginalization of Indigenous and Afro-Latin American populations. Religious and familial structures may be both protective and stigmatizing, especially when suicidal behavior conflicts with dominant cultural values. Additionally, a persistent lack of local data makes it difficult to identify high-risk groups or build tailored prevention efforts.

In order to assess the landscape of suicide contributors in Latin America, Dr. Brenda Cabrera-Mendoza synthesized current knowledge of suicide risk in these countries and highlighted urgent priorities for research, policy, and clinical practice. In her commentary, Dr. Cabrera-Mendoza emphasized the need to invest in both region-specific data collection and inclusive research that reflects Latin America’s diverse genetic ancestry and social realities. Mental health systems across the region are chronically underfunded, typically receiving only a fraction of recommended resources, and services are often inaccessible to those who need them most. Structural barriers, such as uneven distribution of providers and concentration of care in the private sector, leave large segments of the population without support. Dr. Cabrera-Mendoza concluded that by advancing culturally adapted prevention strategies, improving the reach and quality of mental health services, and integrating biological and social determinants of health into future studies, the Latin American region has an opportunity to reverse rising suicide trends and build more equitable systems of care.

Citation: Foo, Cabrera-Mendoza, B., Fries, G. R., & Polimanti, R. (2025). The landscape of suicide risk factors in Latin America. Psychiatry Research, 351, 116597. https://doi.org/10.1016/j.psychres.2025.116597

This finding comes from an AFSP-funded study — see the grant below ↓

Research finding · August 2024

Genetic predisposition to bipolar disorder and schizophrenia may be associated with risk for suicide attempt

Research has shown that bipolar disorder (BD) and schizophrenia (SZ) are associated with higher risk for suicide attempt. Identifying factors contributing to the risk for suicide attempt in people with BD and SZ is crucial for developing effective prevention and treatment strategies. One way suicide prevention researchers are able to study this is by using a Mendelian randomization approach, which is a method used in epidemiology and genetics that combines genetic data with other factors (e.g., behavioral traits or sociodemographic factors) to identify potential cause-and-effect relationships.

Using this Mendelian randomization approach on a large-scale genetic database from the Psychiatric Genomics Consortium and the UK Biobank, Dr. Brenda Cabrera-Mendoza considered the influence of behavioral traits and socioeconomic factors. After analyzing the data, she found that genetic predispositions to BD and SZ significantly increased the risk of suicide attempts. Additionally, mental distress and risk-taking behaviors were found to independently contribute to suicide attempts, regardless of SZ genetics, while these same factors did partly explain the increased suicide risk in BD. The findings highlight the complex interplay between genetic risks and behavioral traits, underscoring the importance of comprehensive mental health assessments for individuals at high risk of suicide.

Citation: Cabrera-Mendoza, B., Aydin, N., Fries, G. R., Docherty, A. R., Walss-Bass, C., & Polimanti, R. (2023). Estimating the direct effects of the genetic liabilities to bipolar disorder, schizophrenia, and behavioral traits on suicide attempt using a multivariable Mendelian randomization approach. medRxiv: 2023.08.14.23294083. https://doi.org/10.1101/2023.08.14.23294083

This finding comes from an AFSP-funded study — see the grant below ↓

The grant behind this work · 2022 Postdoctoral Fellowship

Suicide-associated Loci Regulating Molecular Traits and Their Interaction With Environmental Factors

Brenda Cabrera-Mendoza, MD, PhD

Brenda Cabrera-Mendoza, M.D., Ph.D.

Yale University School of Medicine

Mentor: Robert Pierzak, Ph.D., MPH, Yale University

Amount awarded
$132,900
Focus area
Genetic

Inside the Research

Several genetic variants have been associated with higher suicide risk. However, we do not know the exact mechanisms by which these genetic variants might increase suicide risk. This study aims to characterize the function of genetic variants associated with suicidal behavior and evaluate their interaction with other factors associated with suicide, i.e., environmental factors. Results will improve the understanding of the mechanisms involved in the genetic predisposition to suicidal behavior.

Full scientific abstract

As a major public health problem, suicidality is one of the leading causes of death and disability worldwide. Suicidality is a result of the interaction of several contributors, including genetic and environmental factors. The role of genetic factors in suicide is partially mediated by the effects of gene variants on gene expression and DNA methylation. The functional characterization of the suicidality-associated genetic variants and their associated molecular phenotypes will be helpful in the elucidation of the underlying pathophysiology of suicidality. Furthermore, the effect of genetic variants could be modulated by environmental factors. Even though several gene-environment interactions have been identified in suicidality, our knowledge of the molecular mechanisms mediating such interactions is limited. We hypothesize that gene-environment interactions in suicidality are, at least partially, mediated by genetically regulated gene expression and methylation. Here, we propose an integrative analysis of the interaction among genetic variants and their associated molecular phenotypes with environmental variables in suicidality. We will estimate the genetically regulated gene expression and DNA methylation in multiple brain regions, peripheral blood, and adrenal gland from the genotype of the UK Biobank (UKB) and the National Health and Resilience in Veterans Study (NHRVS) participants of diverse ancestral backgrounds (n=144,519). Then, we will test the associations using a logistic regression model between the genetically imputed gene expression/methylation levels and suicidality categories i.e., passive suicidal ideation, active suicidal ideation, non-suicidal self-injury, and suicide attempt. To identify relevant genes for each suicidality category, we will perform a co-expression/co-methylation network analysis using the genes whose gene expression/DNA methylation levels were found to be associated with suicidality categories. Then, we will identify relevant hub genes, which are those with a high degree of connectivity between them and are likely to play a key role in the association between genotype-suicidal traits. To identify genes with genetic variants influencing gene expression and/or DNA methylation that interact with suicidal behavior risk factors and infer a causal relationship between them, we will perform a gene-environment interaction analysis between the genetic variants influencing gene expression and/or DNA methylation in brain, blood, and adrenal gland, and suicide risk factors including traumatic experiences and psychiatric disorders. Then, we will perform a Mendelian randomization analysis to investigate whether changes in genetically regulated gene expression and DNA methylation may influence variations on suicidal behavior risk factors. The overall goal of our proposal is to characterize the downstream molecular consequences of suicidality-associated genetic variants influencing gene expression and DNA methylation, as well as to evaluate their interaction with environmental risk factors. Our results will improve our understanding of the mechanisms underlying genetic predisposition to suicidality. This study will permit us to identify genetic variants, whose effects are dependent on the level of exposure to a specific environment. This will ultimately lead to the identification of patients at high suicidal risk and the subsequent development of personalized preventive and therapeutic interventions.

More funded research

See all grants →

2026 Early Career Researcher Grant

Analyzing the Impact of Companion Dogs as a Protective Factor for Prevention of Suicidality in Veterans

Leanne Nieforth, Ph.D. · $140,000

2026 Early Career Researcher Grant

Future-Oriented Mental Imagery and Adolescent Suicide Risk

Ki Eun Shin, Ph.D. · $140,000