Achievements (10)
Effect of healthy lifestyle on renal dysfunction risk: interactions with genetic risk
Clinical kidney journal
Predictive value of the polygenic risk score for developing epilepsy: a systematic review and meta-analysis
Epilepsy & behavior: E&B
Associations of family history of hypertension, genetic, and lifestyle risks with incident hypertension
Hypertension Research
Association of circulating metabolites and polygenic risk score with incident type 2 diabetes: a prospective community-based cohort study
Cardiovascular diabetology
Preeclampsia prediction with maternal and paternal polygenic risk scores: the TMM BirThree Cohort Study
Scientific reports
Preeclampsia prediction with polygenic risk scores: the TMM BirThree Cohort Study
Prediction of Epilepsy Using Machine Learning on Integrated Polygenic Risk Scores and Perinatal Data: A Three-Generation Birth Cohort Study
Prediction of Febrile Seizures Using Machine Learning Based on Polygenic Risk Scores and Perinatal Information
Prediction of Epilepsy Using Machine Learning on Integrated Polygenic Risk Scores and Perinatal Data: A Three-Generation Birth Cohort Study
Genetic analysis of perinatal depression classified based on the depressive symptom trajectory
Blog Posts (3)
Genomic Research for Clinical Researchers ─ PRS QC Explained
A practical guide to quality control steps for polygenic risk score (PRS) analyses, covering base and target data QC based on the Nature Protocols 2020 tutorial.
Genomic Research for Clinical Researchers: Leveraging GWAS
A practical guide for clinical researchers on leveraging GWAS results through polygenic risk scores (PRS) and Mendelian randomization (MR) for disease prediction and causal inference.
How to Leverage Disease Risk Prediction ─ Perspectives from Epidemiology and Preventive Medicine ①
Why predict disease risk? An epidemiologist clarifies how risk prediction differs from causal inference and outlines three conditions under which prediction models matter clinically.