Xinpei received an education in both medicine and mathematics as an undergraduate student at Peking University. The combination of these two disciplines greatly stimulated her interest in developing and applying statistical methods to address medical problems, leading her to pursue a Ph.D. in Biostatistics. In her doctoral dissertation, Xinpei proposed a flexible nonlinear Mendelian randomization estimation method and theoretically demonstrated its strong performance. Additionally, she conducted research on the genetic analysis of complex diseases, including studies on heritability, genetic correlation, GWAS, and drug target discovery. These experiences helped her recognize the significance of understanding the genetic structure of complex diseases and the vast potential of statistics in this field. Therefore, after earning her Ph.D., Xinpei joined the Dahl lab at the University of Chicago to continue her research in statistical genetics.

• Wang X, Huang T, Jia J.  Non-linear Mendelian randomization with Two-stage prediction estimation and Control function estimation. arXiv. 

• Wang X, Huang T, Jia J. Proteome-wide Mendelian Randomization Analysis} Identified Potential Drug Targets for Atrial Fibrillation. Journal of the American Heart Association. 2023;12(16):e029003.

• Wang X, Jia J, Huang T. Coffee Types and Type 2 Diabetes Mellitus: Large-Scale Cross-Phenotype Association Study and Mendelian Randomization Analysis. Front Endocrinol (Lausanne). 2022;13:818831.

• Wang X, Jia J, Huang T. Shared genetic architecture and causal relationship between leptin levels and type 2 diabetes: large-scale cross-trait meta-analysis and Mendelian randomization analysis. BMJ Open Diabetes Res Care. 2020;8(1).

• Chen D, Wang X, Huang T, Jia J. Genetic support of a causal relationship between cannabis use and educational attainment: a two-sample Mendelian randomization study of European ancestry. Addiction. 2023;118(4):698-710.

• Yin B, Wang X, Huang T, Jia J. Shared Genetics and Causality Between Decaffeinated Coffee Consumption and Neuropsychiatric Diseases: A Large-Scale Genome-Wide Cross-Trait Analysis and Mendelian Randomization Analysis. Front Psychiatry. 2022;13:910432. 

• Chen D, Wang X, Huang T, Jia J. Sleep and Late-Onset Alzheimer's Disease: Shared Genetic Risk Factors, Drug Targets, Molecular Mechanisms, and Causal Effects. Front Genet. 2022;13:794202. 

• Chen D, Wu H, Wang X, Huang T, Jia J. Shared Genetic Basis and Causal Relationship Between Television Watching, Breakfast Skipping and Type 2 Diabetes: Evidence From a Comprehensive Genetic Analysis. Front Endocrinol (Lausanne). 2022;13:836023. 

• Chi Y, Wang X, Jia J, Huang T. Smoking Status and Type 2 Diabetes, and Cardiovascular Disease: A Comprehensive Analysis of Shared Genetic Etiology and Causal Relationship. Front Endocrinol (Lausanne). 2022;13:809445.

• spmr: a R package for the causal estimation and inference in nonlinear Mendelian randomization

• Joint Conference in Statistics and Data Science in China, Proteome-wide Mendelian Randomization Analysis Identified Potential Drug Targets for Atrial Fibrillation, Presentation

• Chinese Society of Nutrition 2022 Annual Conference on Maternal and Child Nutrition, Mendelian randomization Analysis Suggests a Potential Causal Role of BMI in Childhood on Metabolic Diseases/Traits in Adulthood, Presentation

• Chinese Society of Nutrition 2022 Annual Conference on Maternal and Child Nutrition, Genome-wide Cross-phenotype Association Analysis Identifies Shared Loci for BMI in Childhood and T2D in Adulthood, Poster

• Fifteenth National Conference on Nutritional Sciences of the Chinese Nutrition Society, Coffee Types and Cardiac Metabolic Risks: Large-scale Cross-phenotype Association Study and Mendelian randomization Analysis, Poster