Ilse Krätschmer

Causal inference for multiple risk factors and diseases from genomics data

The paper introduces CI-GWAS, a method to improve causal inference in GWAS by addressing confounding and pleiotropy, finding few suitable IVs and replicating some but not all previously reported causal links.

Separating direct, indirect and parent-of-origin genetic effects in the human population

The paper introduces JODIE, a model to estimate direct, indirect, and parent-of-origin genetic effects on height, BMI, and educational attainment using family trios from two biobanks.

Sex differences in the genetic basis of human recombination within 190,000 parent-child pairs

This study identifies 58 genomic regions associated with meiotic recombination, 24 of which are sex-specific, and finds a moderate genetic correlation between male and female recombination rates.

A quantitative genetic model for indirect genetic effects and genomic imprinting under random and assortative mating

This paper develops a quantitative genetic model to analyze how indirect genetic effects and genomic imprinting influence genetic variance under random and assortative mating.

Separating the genetics of disease, treatment and treatment response using graphical modeling and large-scale electronic health records.

The paper uses graphical modeling on electronic health records to separate genetic effects on disease, treatment, and treatment response in large-scale biobank data.

Discovery of shared epigenetic pathways across human phenotypes

The paper introduces MAJA, a method for joint association testing in multi-omics data, finding shared epigenetic pathways across multiple traits in methylation data.