Margit Burmeister

This paper uses a Monte Carlo simulation to explore correlations between cannabis exposure and hair loss characteristics in a synthetic population.

The paper validates nine polygenic risk scores in family and multi-ancestry datasets, showing their potential to reduce disease risk through embryo selection in IVF.

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

This study identifies FIBCD1 as a conserved receptor for chondroitin sulphate proteoglycans in the brain ECM, linking it to neurodevelopmental disorders through genetic and functional analyses.

The paper uses daylight saving time as a natural experiment to study how genetic variation influences adaptation to abrupt time changes, finding differential effects based on morning or evening genetic predisposition.

The paper examines common genetic variants' contribution to bipolar disorder risk in multiplex families and finds higher polygenic risk scores in affected individuals compared to controls and unaffected family members.

This study identifies 73 genome-wide significant loci for mood disorders, revealing shared and distinct genetic factors between major depressive disorder and bipolar disorder.

This study uses a polygenic risk score to predict depression under stress in physicians, finding it more predictive than baseline depression.

This study identifies heterozygous TMEM63A variants causing transient hypomyelination in infancy, with clinical improvement over time.

This study identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.

The paper analyzes rare variants to uncover mutation rate heterogeneity in the human genome, identifying genomic features that influence mutation rates.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.