A better approach: Studying genetics by accounting for sex differences
Biological sex differences, such as differences in hormones, reproductive organs and chromosomes, can influence how our genes are read and how they interact with other factors in our bodies. This means genes may influence certain traits or diseases differently depending on sex. Failing to account for these sex differences in genetic studies can lead to crucial information being overlooked and incomplete findings. Thus, by considering sex differences in genetic studies, scientists can gain a more precise and comprehensive understanding of how genes shape traits and contribute to the development of diseases.
Professor Melissa Wilson, from the Arizona State University School of Life Sciences, has published a new paper in the prestigious journal Cell titled “Quality control and analytical best practices for testing genetic models of sex differences in large populations.” In their publication, Wilson and colleagues developed a set of guidelines and recommendations that are expected to profoundly impact future genetic research and contribute to more accurate and comprehensive findings.
“The group came about as a set of people with complementary expertise all focused on different aspects of incorporating sex as a biological variable into genetics and genomics analyses,” Wilson said.
Genetic studies have traditionally focused on examining the entire population as a single entity, disregarding potential differences between sexes. However, Wilson’s research highlights the critical role that sex plays in genetic analyses and argues for the adoption of a sex-aware approach.
“Most studies of human genomics still exclude the sex chromosomes and do not appropriately investigate how disease risk in males and females may differ,” Wilson said.
The team meticulously analyzed existing studies and uncovered a wealth of evidence indicating that ignoring sex differences in genetic analyses can lead to skewed results and incomplete conclusions.
In their publication, Wilson and co-authors first talk about how to ensure the data to be analyzed is reliable; then, they give an overview and best practices for testing genetic models and mechanisms that may cause differences between males and females in how they show traits. Finally, they discuss important things to consider when studying these differences.
“We give several tangible guidelines for how to incorporate sex as a biological variable, from a genomic level to an individual level, that researchers can incorporate into their analyses,” Wilson said.
In addition to its potential impact on genetic research, this groundbreaking work has enormous implications for precision medicine and personalized health care. Recognizing the importance of sex differences in genetic research can facilitate the development of targeted treatments and interventions, ultimately improving health outcomes.
As other scientists keep building upon these findings, the hope is that a more inclusive and comprehensive understanding of genetics will emerge, revolutionizing the landscape of genetic research and medicine as we know it.