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Exploring the HLA Region's Role in Disease Risk

The HLA region affects disease risk, revealing links between genetics and health.

― 7 min read


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The human body has a complex system that helps protect against diseases. A major part of this system is called the major histocompatibility complex (MHC). In humans, this is known as the human leukocyte antigen (HLA) region. This region is important for tissue compatibility during organ transplants and helps the immune system recognize harmful invaders like viruses and bacteria, as well as the body’s own cells.

Researchers have found that the HLA Region is linked to many diseases, which raises the question of how variations in this area can influence different health conditions at the same time. Despite this interest, not much has been done to clearly show how these variations relate to multiple diseases.

The HLA Region and Its Role

The HLA region is about 5 million base pairs long and contains hundreds of genes. The most well-known genes in this region are those that help the body respond to infections and avoid Autoimmune Diseases. These include two classes of genes: class I (HLA-A, HLA-B, HLA-C) and class II (HLA-DR, HLA-DQ, HLA-DP). These genes make proteins that present bits of proteins from viruses and other dangers to immune cells, prompting them to act.

Each of the classical HLA genes has many different versions, known as Alleles. Some alleles can recognize a wide range of invaders, while others are more specific to certain types of invaders. Because of this genetic variation, people can respond differently to diseases based on their specific HLA alleles.

Over time, many pathogens have also changed to evade detection by common HLA alleles in a kind of ongoing battle between the immune system and infectious agents. This struggle has led to a high level of genetic diversity in HLA genes.

Individual Health and Genetic Variation

On a personal level, variations in the HLA genes can impact how well the immune system detects and responds to infections, fights off cancer, and controls inappropriate immune reactions that can lead to autoimmune diseases. These variations create a balance between effectively responding to infections and preventing autoimmune diseases, which can sometimes come at the cost of increasing risk for other health problems.

For example, chronic infections from viruses like Epstein-Barr can lead to various cancers and autoimmune conditions. This complex relationship between infections, autoimmune diseases, and cancers has not been fully explored in terms of the underlying genetics.

Findings from Research Studies

Many studies have linked specific HLA alleles to various diseases. For instance, certain alleles are strongly associated with conditions like Type 1 Diabetes, rheumatoid arthritis, and seronegative spondyloarthritis. These findings have helped inform clinical practice, allowing healthcare providers to consider genetic testing for specific HLA alleles when diagnosing certain diseases.

However, much focus has been placed on the protein-coding parts of HLA genes. Less attention has been given to the other genetic variations in the HLA region, particularly those found outside of coding regions. Some studies suggest that variations in these regions might also significantly affect the risk of certain diseases by influencing how genes are expressed.

Recent experimental approaches have begun to shed light on these non-coding variations, revealing that they may contribute to disease risks just as much as the well-studied coding variations.

Association Studies and Disease Traits

Large studies known as genome-wide association studies (GWAS) have been conducted using data from large populations like the FinnGen and UK Biobank. These studies have discovered numerous significant links between specific genetic variations in the HLA region and a variety of health conditions, such as infections and autoimmune diseases.

These GWAS typically either study many diseases at once or focus specifically on the HLA region, but not both at the same time. To truly understand how genetic variation in the HLA region influences the interplay between different diseases, it is essential to study multiple diseases simultaneously.

Goals of Recent Studies

In this context, researchers aimed to measure how genetic variations within the HLA region contribute to disease risks across a wide range of health issues. By analyzing over 412,000 Finnish individuals across nearly 2,500 traits, they aimed to map out where disease associations occur within the HLA region and how different traits interrelate.

This research used a new method, focusing on Haplotypes (combinations of alleles that are inherited together), to gain a clearer picture of how HLA variations relate to health.

Discovering Disease Associations in the HLA Region

The analysis of the HLA region involved looking at the distribution of disease associations across the genetic material. Various diseases were grouped, and the researchers used sophisticated techniques to identify significant genetic variations that appeared in connection with these diseases.

Strikingly, the HLA region showed a much higher density of associations compared to other areas of the genome, underscoring its importance in disease processes. Five of the six regions with the most associations were found within the HLA area.

Researchers found notable traits with strong associations in the HLA region, particularly Infectious Diseases. The highest enrichment was observed for infectious diseases, followed by autoimmune conditions, which highlights the vital role of the HLA in fighting infections.

While the majority of diseases associated with HLA were related to infections and autoimmune disorders, other categories such as cardiovascular and neuropsychiatric diseases also showed significant links.

Patterns of Genetic Variation and Disease Risk

The next step was to dive deeper into how these diseases interact and how the HLA region influences these connections. Researchers focused on examining the nature of disease relationships, noting that certain genetic variations in the HLA region could increase the risk of one disease while decreasing the risk of another.

For example, specific haplotypes were found to be related to an increased risk for autoimmune conditions, while simultaneously being associated with decreased risk for other rheumatic diseases. This observation indicates that the relationship between diseases can be complex, with trade-offs in risk levels.

Researchers developed a heat map to visualize the connections and patterns among genetic variants across different diseases, which revealed clusters of traits that shared common associations based on the investigated haplotypes.

Moving Beyond HLA Alleles

In addition to analyzing classical HLA alleles, the study also explored genetic variations beyond the HLA allele level. This broader approach uncovered additional associations that were independent of the classic HLA alleles.

A notable finding was that certain haplotype associations remained significant even after controlling for the classical HLA alleles. This finding suggests that non-HLA genes in the region also play important roles in disease susceptibility and demonstrate the need for comprehensive studies that look beyond just the HLA alleles.

Implications of Research Findings

The findings from this detailed analysis of the HLA region provide insights into how various genetic factors contribute to the risk of numerous diseases. By identifying disease connections and understanding the pleiotropic effects of different haplotypes, healthcare professionals can better comprehend the genetic basis of diseases and develop more personalized approaches to treatment.

With advancements in genetic research technologies and increased availability of large datasets, future work could reveal even more critical information about the role of the HLA region in health and disease. This research is an essential step toward unraveling the complex interactions between genetics and human health, paving the way for new understandings and potential medical breakthroughs in the future.

Conclusion

The study of the human immune response and its genetic underpinnings has made significant strides in recent years, particularly concerning the HLA region and its role in health and disease. As researchers continue to explore these connections, it becomes increasingly clear that understanding genetic variation is vital for addressing the complexities of disease risk and treatment.

With the hope of enhancing our knowledge of genetic influences on health and developing targeted therapies, this area of research will remain a critical focus. As more data becomes available and methods for analyzing genetic information improve, the potential for realizing the full impact of these findings on public health and clinical practice is immense.

In summary, this evolving field highlights the ongoing journey to understand the human genome and its profound implications for health and disease management.

Original Source

Title: Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region

Abstract: The human leukocyte antigen (HLA) region plays an important role in human health through involvement in immune cell recognition and maturation. While genetic variation in the HLA region is associated with many diseases, the pleiotropic patterns of these associations have not been systematically investigated. Here, we developed a haplotype approach to investigate disease associations phenome-wide for 412,181 Finnish individuals and 2,459 traits. Across the 1,035 diseases with a GWAS association, we found a 17-fold average per-SNP enrichment of hits in the HLA region. Altogether, we identified 7,649 HLA associations across 647 traits, including 1,750 associations uncovered by haplotype analysis. We find some haplotypes show trade-offs between diseases, while others consistently increase risk across traits, indicating a complex pleiotropic landscape involving a range of diseases. This study highlights the extensive impact of HLA variation on disease risk, and underscores the importance of classical and non-classical genes, as well as non-coding variation.

Authors: Courtney J. Smith, Satu Strausz, Jeffrey P. Spence, Hanna M. Ollila, Jonathan K. Pritchard

Last Update: 2024-07-31 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.07.29.24311183

Source PDF: https://www.medrxiv.org/content/10.1101/2024.07.29.24311183.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/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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