معرفی
Xia Shen is a Senior Research Specialist at the Karolinska Institutet, working within the Department of Medical Epidemiology and Biostatistics. She is part of Yudi Pawitan's research group, focusing on statistical and bioinformatics analyses of high-throughput molecular data.
- PhD in Statistical Genetics (2012), Uppsala University
- MSc in Applied Statistics (2008), Dalarna University
- BSc in Statistics and Actuarial Science (2007), Renmin University of China
Her research spans statistical genetics, computational biology, and bioinformatics, with particular emphasis on genetic correlation estimation, pleiotropy analysis, and omics data modeling. She has developed multiple R packages including TGCA (Total Genetic Contribution Analysis) and HDL (High-Definition Likelihood) for advanced genetic analyses.
Key scientific contributions include:
- 2021 Nature Communications paper on improved phenotypic correlation estimation from GWAS data
- 2020 Nature Genetics work on genetic correlation methodology
- 2020 Nature Human Behaviour study on neuro-related protein genetics
- 2019 Frontiers in Genetics analysis of CCR5Δ32 pleiotropy
She has previously held positions at the Karolinska Institutet and Sun Yat-sen University, and maintains active collaborations in polygenic risk score development and multi-trait GWAS analysis.
