Genome-Wide Association Studies (GWASs) have made significant strides since the publication of the first GWAS, revealing that small genetic variations collectively contribute to a wide array of human traits and complex diseases. Despite these advancements, the field has been criticized for its lack of diversity, as most studies have predominantly focused on European populations. This selection bias has created a substantial gap in our understanding of the genetic architecture of the global population, which in turn hampers the development of effective precision public health and medicine.
The under-representation of non-European ancestry populations, particularly immigrant communities, in GWASs means that the unique social, environmental, and economic factors affecting these groups are often overlooked. Addressing this diversity gap is crucial for uncovering new genomic insights and enhancing the applicability of GWAS findings across different populations.
This research topic aims to explore the benefits of greater representation of immigrant communities in Genome-Wide Association Studies. The primary objective is to address the current lack of knowledge on immigrant populations within the field of GWAS by investigating how increased diversity in study samples can lead to new genomic discoveries. Specific questions include: How do genetic variations in immigrant populations contribute to the development of complex diseases? What are the unique environmental and social factors affecting these populations that may influence genetic expression? By answering these questions, the research aims to enhance the inclusivity and applicability of GWAS findings.
To gather further insights into the benefits of greater representation of immigrant communities in GWAS, we welcome articles addressing, but not limited to, the following themes:
· Genetic variations in non-European ancestry individuals migrating to primarily European ancestry population countries
· The impact of social, environmental, and economic factors on the genetic architecture of Asian ancestry migrants to the Middle East
· Genomic insights from Asian ancestry migrants to Africa
· Genetic studies on European ancestry migrants to Southeast Asia
· Methodological approaches to increasing diversity in GWAS samples
· The role of precision medicine in diverse populations
· Ethical considerations in conducting GWAS on immigrant populations
This Research topic welcomes Brief Research Report, Data Report, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, Technology and Code.
Keywords:
Genetics, Genetic Epidemiology, GWAS, Diversity, Diverse Samples, Global, Immigrant Populations, asian ancestry
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Genome-Wide Association Studies (GWASs) have made significant strides since the publication of the first GWAS, revealing that small genetic variations collectively contribute to a wide array of human traits and complex diseases. Despite these advancements, the field has been criticized for its lack of diversity, as most studies have predominantly focused on European populations. This selection bias has created a substantial gap in our understanding of the genetic architecture of the global population, which in turn hampers the development of effective precision public health and medicine.
The under-representation of non-European ancestry populations, particularly immigrant communities, in GWASs means that the unique social, environmental, and economic factors affecting these groups are often overlooked. Addressing this diversity gap is crucial for uncovering new genomic insights and enhancing the applicability of GWAS findings across different populations.
This research topic aims to explore the benefits of greater representation of immigrant communities in Genome-Wide Association Studies. The primary objective is to address the current lack of knowledge on immigrant populations within the field of GWAS by investigating how increased diversity in study samples can lead to new genomic discoveries. Specific questions include: How do genetic variations in immigrant populations contribute to the development of complex diseases? What are the unique environmental and social factors affecting these populations that may influence genetic expression? By answering these questions, the research aims to enhance the inclusivity and applicability of GWAS findings.
To gather further insights into the benefits of greater representation of immigrant communities in GWAS, we welcome articles addressing, but not limited to, the following themes:
· Genetic variations in non-European ancestry individuals migrating to primarily European ancestry population countries
· The impact of social, environmental, and economic factors on the genetic architecture of Asian ancestry migrants to the Middle East
· Genomic insights from Asian ancestry migrants to Africa
· Genetic studies on European ancestry migrants to Southeast Asia
· Methodological approaches to increasing diversity in GWAS samples
· The role of precision medicine in diverse populations
· Ethical considerations in conducting GWAS on immigrant populations
This Research topic welcomes Brief Research Report, Data Report, General Commentary, Hypothesis & Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Review, Systematic Review, Technology and Code.
Keywords:
Genetics, Genetic Epidemiology, GWAS, Diversity, Diverse Samples, Global, Immigrant Populations, asian ancestry
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.