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Genetic Insights into Bipolar Disorder and Schizophrenia

New research highlights genetic factors in bipolar disorder and schizophrenia, especially in African Americans.

Runjia Li, Sarah A. Gagliano Taliun, Kevin Liao, Matthew Flickinger, Janet L. Sobell, Giulio Genovese, Adam E. Locke, Rebeca Rothwell Chiu, Jonathon LeFaive, Taylor Martins, Sinéad Chapman, Anna Neumann, Robert E. Handsaker, Donna K. Arnett, Kathleen C. Barnes, Eric Boerwinkle, David Braff, Brian E. Cade, Myriam Fornage, Richard A. Gibbs, Karin F. Hoth, Lifang Hou, Charles Kooperberg, Ruth J.F. Loos, Ginger A. Metcalf, Courtney G. Montgomery, Alanna C. Morrison, Zhaohui S. Qin, Susan Redline, Alexander P. Reiner, Stephen S. Rich, Jerome I. Rotter, Kent D. Taylor, Karine A. Viaud-Martinez, Tim B. Bigdeli, Stacey Gabriel, Sebastian Zollner, Albert V. Smith, Goncalo Abecasis, Steve McCarroll, Michele T. Pato, Carlos N. Pato, Michael Boehnke, James Knowles, Hyun Min Kang, Roel A. Ophoff, Jason Ernst, Laura J. Scott

― 9 min read


Genetics of Bipolar Genetics of Bipolar Disorder and Schizophrenia mental health disorders. Research uncovers genetic links in
Table of Contents

Bipolar Disorder (BD) and schizophrenia (SZ) are two serious mental health conditions that affect many people around the world. They can greatly impact a person's quality of life, making it hard for them to function in everyday activities. Symptoms can vary widely, but common ones include shifts in mood and episodes of psychosis. Psychosis can involve seeing or hearing things that aren’t there. Many people with these conditions may also experience feelings of sadness or struggle with thinking clearly.

Both BD and SZ pose significant risks. Individuals with these disorders often face a higher chance of suicide and a greater risk of dying from other causes. Researchers believe that genetics plays a big role in these diseases. Studies suggest that family history can influence the likelihood of developing either disorder, with heritability estimates ranging from 60% to 85% for bipolar disorder and 60% to 80% for schizophrenia.

Genetic Links Between Bipolar Disorder and Schizophrenia

Interestingly, there’s a good deal of overlap in the genetic makeup of BD and SZ. Some research indicates that the genetic similarities can reach as high as 0.68 when looking at common Genetic Variants. Understanding the genetic factors linked to these disorders is key to finding better treatments and insights into what causes these conditions.

Many different areas in our DNA have been linked to BD and SZ. Large studies have identified numerous genetic locations that seem to be associated with these disorders. For example, in a study focusing on people of European and East Asian descent, a vast number of unique genetic locations were found to be linked to schizophrenia. Another study focusing on bipolar disorder found specific genetic regions related to neurons and synapses, which are crucial for brain function.

Whole Exome Sequencing: A New Approach

Whole exome sequencing (WES) is a technique that looks at all the parts of DNA that code for genes. It helps researchers find variations that may contribute to diseases. One important study, known as SCHEMA, examined a wide range of individuals and found that some very rare genetic variants were more common in individuals with schizophrenia. This means that these rare genetic differences could have a hand in increasing the risk of developing the disorder.

On the other hand, a study looking at bipolar disorder found that individuals with BD had an abundance of specific rare genetic changes compared to those without the disorder. When combining results from both studies, a gene called AKAP11 emerged as a potential risk factor, indicating that these rare genetic changes play a significant role in both BD and SZ.

Understanding Non-Coding Variants

While much is known about coding variants, which are changes in DNA that affect how proteins are made, there is still a lot to learn about non-coding variants. These are parts of the DNA that don’t code for proteins but can still influence how genes work. Whole Genome Sequencing (WGS) can help researchers find these variants. However, studies focusing on non-coding variants in BD and SZ have been limited in size.

Most studies have focused on small groups of people, which is not enough to draw broad conclusions. For instance, a study in Sweden looked at a group with schizophrenia and examined structural changes in DNA but didn’t find significant differences in non-coding genetic changes.

Need for Diverse Representation

The majority of genetic studies on psychiatric disorders have primarily focused on individuals of European descent. This lack of diversity is an issue since it can limit discoveries about genetic variations across different backgrounds. Although strides have been made to include more diverse ancestries, there’s still a long way to go. For example, using a genetic risk score based on European ancestry might not accurately predict risk in people from other backgrounds. Efforts are being made to include individuals from various genetic ancestries to help address this issue.

Studying Mental Health in Diverse Populations

A recent study examined the role of certain genetic factors in bipolar disorder and schizophrenia in African American individuals. The study included thousands of people, with a mix of cases and controls. Researchers found some suggestive evidence of genetic links on specific Chromosomes. For example, they noticed potential associations on chromosome 18.

The research team used a method to check how the genetic data compared across different samples. They also found significant evidence of genetic differences in previously studied areas related to bipolar disorder.

Research Design and Methods

The study design included a large number of African American participants, with some diagnosed with BD or SZ, while others did not have either disorder. The research focused on collecting DNA samples and analyzing genetic variants. The study also included external control groups from another large project aimed at understanding various health issues.

Participants were carefully selected based on their self-reported ancestry. The researchers determined how much African genetic ancestry participants had and ensured that cases had no personal history of other mental health conditions. This was important for ensuring the integrity of the research.

Sequencing and Quality Control

To begin their analysis, participants underwent whole-genome sequencing. This process looks at all the genetic material in a person's DNA. The researchers ensured that DNA samples were processed in a way that minimized errors. They conducted various quality checks to ensure that the data they were using was reliable.

Since DNA samples came from different sources, it was crucial to account for differences in how the sequencing was done. This included checking for contamination and ensuring that samples were accurately represented.

Analysis of Genetic Data

Once the sequencing was completed, the team worked on calling out genetic variants, specifically looking for single nucleotide variants (SNVs) and small insertions or deletions (indels). This involved sophisticated software that could analyze the data to find potential associations between genetic variants and the disorders being studied.

The researchers conducted various tests to determine whether there were significant differences in genetic variants between groups. They accounted for many factors, such as genetic ancestry and other demographic information, to ensure that the findings were as accurate as possible.

Results and Findings

The results revealed some interesting patterns. The researchers found certain genetic variants that appeared to be associated with bipolar disorder. They also observed that individuals with BD had different genetic burdens compared to those without the disorder.

While the study did uncover some suggestive findings, the overall genetic associations were not strong enough to make definitive claims. The researchers highlighted the need for further studies, especially involving larger sample sizes, to confirm these findings.

Challenges in Genetic Research

Researching genetic links in psychiatric disorders comes with its challenges. For one, the sample sizes can be limited, especially in underrepresented populations. Additionally, the complex nature of these disorders makes it difficult to pinpoint exact genetic causes.

Researchers also face the challenge of ensuring that their methods are robust enough to detect potential variants. This can require sophisticated techniques and extensive data analysis. Plus, controlling for various factors, such as sequencing differences, adds another layer of complexity.

Importance of Gene-Based Testing

Gene-based tests offer a way to analyze genetic data at a broader level. Rather than focusing on individual variants, these tests examine groups of genes to see if there’s a pattern that suggests an association with a condition. In this study, researchers looked for patterns in specific genes known to be linked to SZ and BD.

Despite the challenges, the gene-based tests showed potential for identifying links between genetic variants and mental health conditions. However, no significant associations were found in this particular research.

Insights on Chromatin and Conservation States

The researchers took a closer look at how certain genetic variants might behave in different chromatin and conservation states. These concepts refer to how the DNA is structured and how well it is preserved across generations.

The findings suggested that there were no significant enrichments of rare genetic variants in specific chromatin states between cases and controls. This indicates that while there may be variations, they might not play a significant role in influencing the disorders.

Addressing Limitations

The researchers acknowledged that there were limitations in their study. For example, they noted that the sample sizes for some tests were relatively small compared to larger studies done elsewhere. Also, since the external controls were not screened for psychiatric disorders, there might have been individuals in the control group who had BD or SZ, potentially affecting the results.

To ensure accuracy, the researchers emphasized the necessity of larger studies that can help validate their findings. They also pointed out the importance of continuing to refine methods for analyzing genetic data, especially as new techniques emerge.

Future Directions in Research

The research provides a foundation for understanding the genetic complexities of bipolar disorder and schizophrenia, particularly in African American populations. As the field moves forward, there’s a growing need for diverse representation in genetic studies.

By including various ancestries, researchers can gain insights that may have been overlooked in previous studies. This can lead to a deeper understanding of how genetic factors influence mental health conditions and ultimately contribute to better treatments.

Conclusion

In summary, the journey of understanding bipolar disorder and schizophrenia through genetic research is ongoing. The findings from recent studies shed light on the potential associations between genetic variants and these disorders, particularly in underrepresented populations.

While there are still many questions left to answer, each step taken in this research helps to unravel the complexities of mental health conditions. As researchers continue to explore the genetic landscape, we can hope for more effective treatments and improved outcomes for those affected by these challenging disorders.

And who knows? Maybe one day, understanding our genes will be simpler than trying to figure out the latest Netflix series plot twist. But until then, the work goes on.

Original Source

Title: Whole genome sequence-based association analysis of African American individuals with bipolar disorder and schizophrenia

Abstract: In studies of individuals of primarily European genetic ancestry, common and low-frequency variants and rare coding variants have been found to be associated with the risk of bipolar disorder (BD) and schizophrenia (SZ). However, less is known for individuals of other genetic ancestries or the role of rare non-coding variants in BD and SZ risk. We performed whole genome sequencing of African American individuals: 1,598 with BD, 3,295 with SZ, and 2,651 unaffected controls (InPSYght study). We increased power by incorporating 14,812 jointly called psychiatrically unscreened ancestry-matched controls from the Trans-Omics for Precision Medicine (TOPMed) Program for a total of 17,463 controls. To identify variants and sets of variants associated with BD and/or SZ, we performed single-variant tests, gene-based tests for singleton protein truncating variants, and rare and low-frequency variant annotation-based tests with conservation and universal chromatin states and sliding windows. We found suggestive evidence of BD association with single-variants on chromosome 18 and of lower BD risk associated with rare and low-frequency variants on chromosome 11 in a region with multiple BD GWAS loci, using a sliding window approach. We also found that chromatin and conservation state tests can be used to detect differential calling of variants in controls sequenced at different centers and to assess the effectiveness of sequencing metric covariate adjustments. Our findings reinforce the need for continued whole genome sequencing in additional samples of African American individuals and more comprehensive functional annotation of non-coding variants.

Authors: Runjia Li, Sarah A. Gagliano Taliun, Kevin Liao, Matthew Flickinger, Janet L. Sobell, Giulio Genovese, Adam E. Locke, Rebeca Rothwell Chiu, Jonathon LeFaive, Taylor Martins, Sinéad Chapman, Anna Neumann, Robert E. Handsaker, Donna K. Arnett, Kathleen C. Barnes, Eric Boerwinkle, David Braff, Brian E. Cade, Myriam Fornage, Richard A. Gibbs, Karin F. Hoth, Lifang Hou, Charles Kooperberg, Ruth J.F. Loos, Ginger A. Metcalf, Courtney G. Montgomery, Alanna C. Morrison, Zhaohui S. Qin, Susan Redline, Alexander P. Reiner, Stephen S. Rich, Jerome I. Rotter, Kent D. Taylor, Karine A. Viaud-Martinez, Tim B. Bigdeli, Stacey Gabriel, Sebastian Zollner, Albert V. Smith, Goncalo Abecasis, Steve McCarroll, Michele T. Pato, Carlos N. Pato, Michael Boehnke, James Knowles, Hyun Min Kang, Roel A. Ophoff, Jason Ernst, Laura J. Scott

Last Update: 2024-12-29 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.12.27.24319111

Source PDF: https://www.medrxiv.org/content/10.1101/2024.12.27.24319111.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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