Human and Statistical Genetics: Recent Advances

Dear Colleagues,

The field of human and statistical genetics has seen remarkable advances in recent years, driven by the availability of large-scale genomic data, high-throughput sequencing technologies, detailed electronic health records collected and deposited in large biobanks, and powerful statistical methods. The ability to interrogate the entire genome has led to the identification of numerous genetic variants associated with complex human traits and diseases. Additionally, advances in statistical methods have enabled the analysis of increasingly complex data sets, including the integration of multiple data types.

This Special Issue aims to showcase recent advances in human and statistical genetics research. This issue covers a broad range of topics, including the identification and fine-mapping of novel genetic variants associated with disease risk, learning polygenic risk scores with improved accuracy and robustness, the development of new statistical methods for genetic analysis, and the integration of genomic and other omics data. This issue also highlights the application of these methods to large-scale studies of complex human traits, such as cognitive ability, personality traits, and mental health.

Future prospects for the field are promising, as researchers continue to develop and refine methods for analyzing large-scale genomic data sets. The integration of genomic data with other types of data, such as epigenetic and environmental data, will provide a more complete picture of the genetic and non-genetic factors underlying complex traits and diseases. Additionally, advances in gene editing technologies and personalized medicine will provide new opportunities for using genomic data to improve human health.

Overall, this Special Issue provides a snapshot of the current state of human and statistical genetics research and highlights exciting future prospects for the field. Both original research articles and reviews are welcome.

We look forward to receiving your contributions. 

Dr. Or Zuk
Guest Editor

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• polygenic risk scores
• gene-environment interactions
• fine-mapping
• rare-variants
• pleiotropy
• phenotype subtyping
• transferability and replicability
• data integration
• electronic health records