Michael Schwinn

Combining genome-wide polygenic scores with registry data for colorectal cancer risk-based screening

This study evaluates polygenic risk scores (PRS) for colorectal cancer (CRC) screening, showing they stratify risk independently of ancestry and sex but offer limited additional predictive value when combined with FIT.

GWAS of amiodarone-induced thyroid dysfunction: Applications for genotype-guided risk stratification

This paper identifies genetic variants associated with amiodarone-induced thyroid dysfunction and shows they improve risk prediction beyond general thyroid disease PRS.

Population-scale inheritance analysis of 858,635 individuals reveals North Sea migration from the Middle Ages to the Industrial Revolution

The paper uses genetic data from Denmark and Britain to infer historical North Sea migrations from the Middle Ages to the Industrial Revolution, identifying distinct population patterns and migration trends.

Genome-wide associations spanning 194 in-hospital drug dosage change phenotypes highlight diverse genetic backgrounds in concurrent drug therapy

This study identifies 51 genome-wide significant loci associated with dosage changes in 42 drug pair phenotypes, revealing distinct genetic patterns in polypharmacy.

Deep integrative models for large-scale human genomics

The paper introduces a deep learning framework for polygenic risk score prediction, showing improved performance over traditional methods for various diseases.

Common variants near the bradykinin receptor B2 gene are associated with angioedema induced by angiotensin-converting-enzyme inhibitor treatment - a genome wide association study

This GWAS identifies common variants near BDKRB2 associated with angioedema from ACEi treatment, showing genetic risk and blood pressure effects.