Franziska Degenhardt

A cross-disorder analysis of CNVs finds novel loci and dose-dependent relationships of genes to psychiatric traits

The paper identifies novel CNV loci and dose-dependent gene effects across six psychiatric disorders using genome-wide analysis.

Psychiatric disorders converge on common pathways but diverge in cellular context, spatial distribution, and directionality of genetic effects

The paper identifies shared and divergent genetic mechanisms across psychiatric disorders using gene-set burden analysis of copy number variants.

Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients with Bipolar Disorder

The paper develops pathway-specific polygenic scores to predict lithium treatment response in bipolar disorder and finds associations with specific biological pathways.

Genomic dimensions deconstruct the clinical heterogeneity of bipolar disorder

This study identifies genetic risk loci and factors underlying clinical subtypes of bipolar disorder using GWAS and meta-analysis.

Distinct genetic liability profiles define clinically relevant patient strata across common diseases

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

Variant-risk-exon interplay impacts circadian rhythm and dopamine signaling pathway in severe psychiatric disorders

The paper examines how genetic variants affect gene expression in cortical neurons, identifying pathways linked to psychiatric disorders.

Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

Interplay between the Genetics of Personality Traits, severe Psychiatric Disorders, and COVID-19 Host Genetics in the Susceptibility to SARS-CoV-2 Infection

The paper investigates genetic correlations between psychiatric disorders, personality traits, and SARS-CoV-2 susceptibility using GWAS data and individual-level polygenic risk scores.

Genome-wide association study of over 40,000 bipolar disorder cases provides new insights into the underlying biology

Meta-analysis of 41,917 European-ancestry bipolar disorder cases versus 371,549 controls yields 64 risk loci (33 novel), neuronal and synaptic gene enrichment, and 15 eQTL-prioritized genes.

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

"The Heidelberg Five" Personality Dimensions: Genome-wide Associations, Polygenic Risk for Neuroticism, and Psychopathology 20 Years after Assessment

The paper identifies genetic associations with five personality dimensions and links them to psychiatric symptoms over time.

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

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.

The genetics of the mood disorder spectrum: genome-wide association analyses of over 185,000 cases and 439,000 controls

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

Genetic variation in the Major Histocompatibility Complex and association with depression

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

Variably methylated regions in the newborn epigenome: environmental, genetic and combined influences

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

Genomewide association study identifies 30 loci associated with bipolar disorder

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

Generative network models identify biological mechanisms of altered structural brain connectivity in schizophrenia

The paper uses generative network models to identify spatial and topological mechanisms underlying altered structural brain connectivity in schizophrenia and its relatives.

Trans-ancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.

Polygenic scores for major depressive disorder and depressive symptoms predict response to lithium in patients with bipolar disorder

The paper shows that polygenic scores for depression traits predict lithium response in bipolar disorder patients, with lower genetic load linked to better treatment outcomes.

Applying polygenic risk scoring for psychiatric disorders to a large family with Bipolar Disorder and Major Depressive Disorder

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

Genome-wide association study of suicide attempt in psychiatric disorders identifies association with major depression polygenic risk scores

This paper conducts a GWAS on suicide attempt across psychiatric disorders, identifying genetic loci and showing polygenic risk for major depression predicts suicide attempt in multiple disorders.

Age at first birth in women is genetically associated with increased risk of schizophrenia

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

Mapping the genetics of neuropsychological traits to the molecular network of the human brain using a data integrative approach

The paper integrates genetic and transcriptome data to link neuropsychological traits to brain gene networks, identifying IQ-associated genetic variants in an autism cohort.

Estimation of genetic correlation using linkage disequilibrium score regression and genomic restricted maximum likelihood

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

High genetic loading for schizophrenia predicts poor response to lithium in patients with bipolar disorder: A polygenic score and cross-trait genetic analysis

This study finds that a higher genetic risk for schizophrenia is linked to poorer lithium response in bipolar disorder patients, suggesting potential for personalized treatment strategies.

Genotype-phenotype association mining in bipolar disorder: market research meets complex genetics

The paper applies association rule mining to GWAS data of bipolar disorder to identify novel genotype-phenotype relationships not detected by traditional GWAS methods.