What are GWAS Studies and Why are They Important in Genetics?

12/10/24

✍🏼 Marta Alonso

What are GWAS studies and why are they important in genetics?
Genome-Wide Association Studies, commonly known as GWAS, are one of the most powerful tools in modern genetics. These studies allow us to identify genetic variants associated with diseases, complex traits, or specific characteristics of humans. Thanks to them, we are unraveling how DNA influences health and how we can leverage this information to prevent, diagnose, and treat diseases more precisely.
What is a GWAS?
A GWAS is an analysis that seeks associations between common genetic variants and a particular trait or disease. These genetic variants, known as SNPs (single nucleotide polymorphisms), are small changes in the DNA sequence that occur with some frequency in the population.
The objective of a GWAS is to compare the frequencies of these genetic variants between two groups of people:
  • Cases: Individuals who exhibit the trait or disease of interest (for example, type 2 diabetes).
  • Controls: Individuals without the disease or trait.
If a variant is significantly more common in the cases group than in the controls, it is considered associated with the trait or disease.
What are GWAS useful for?
  1. Identifying genetic variants associated with diseases:
    A GWAS allows for the discovery of regions in the genome that influence the risk of diseases like cancer, cardiovascular diseases, diabetes, and many others.
  2. Understanding the biology of diseases:
    The variants identified in a GWAS can point to genes or biological pathways involved in the development of a disease, opening the door to new treatments or preventive strategies.
  3. Developing polygenic risk scores (PRS):
    By combining information from multiple variants associated with a trait, GWAS help calculate scores that estimate a person's genetic risk of developing a disease.
  4. Personalizing medicine:
    With the results of a GWAS, it is possible to tailor treatments, diets, or preventive interventions based on an individual's genetics.
The impact of GWAS on health
Since their development, GWAS have revolutionized medical genetics. They have enabled the discovery of hundreds of variants associated with complex diseases such as Alzheimer’s, diabetes, and cancer. Furthermore, they are laying the groundwork for precision medicine, where interventions are personalized according to each individual's genetic profile.
For example:
  • In cardiology, GWAS have identified variants associated with high cholesterol, helping to develop more effective treatments.
  • In nutrition, GWAS have identified genetic variants related to metabolism and fat accumulation, providing key information about body composition and weight control.
  • In oncology, they have indicated genes involved in specific types of cancer, facilitating the development of targeted therapies.
Limitations of GWAS studies
GWAS studies have proven to be a powerful tool for identifying genetic variants (SNPs) associated with complex diseases, such as type 2 diabetes or hypertension, and traits like height or eye color. Additionally, these studies allow the identification of relevant genes and biological pathways involved in these traits, providing valuable insights into the underlying mechanisms. They are also useful in demonstrating how multiple genetic variants collectively contribute to the risk of developing a trait or disease, helping to understand genetic predispositions.
However, GWAS have significant limitations that must be considered when interpreting their results. First, they identify associations but do not establish direct causality, meaning they do not prove that a specific variant causes the trait or disease. Moreover, many diseases and traits are influenced not only by genetic factors but also by environmental and lifestyle factors, aspects that GWAS do not comprehensively address. Another challenge is that most of these studies have been conducted in populations of European descent, limiting their applicability to other ethnicities and potentially excluding important genetic variants in other population groups. These limitations underscore the need to utilize GWAS as a complementary tool within a broader approach that includes environmental factors, functional studies, and diverse populations.
Conclusion
GWAS studies are fundamental for exploring and understanding the human genome. By identifying genetic variants associated with diseases and traits, they provide us with a clearer view of the biological mechanisms that influence our health. Although they present challenges, their contribution to the advancement of precision medicine is undeniable. Today, the results of GWAS are being tangibly integrated into personalized medical care, transforming the way we prevent, diagnose, and treat diseases.