Sven Cichon

Genome-wide association studies identify 77 loci for suicidality and provide novel biological insights

This study identifies 77 genetic loci associated with suicidality through genome-wide association analyses across multiple cohorts and provides biological insights into its genetic architecture.

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 analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries

The paper conducts GWAS on brain volumes, identifies genetic loci, and develops polygenic scores with cross-ancestry predictive ability and causal links to neuropsychiatric disorders.

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.

SwissGenVar: A platform for clinical grade interpretation of genetic variants to foster personalized health care in Switzerland

SwissGenVar is a platform for sharing and interpreting genetic variants to improve clinical decision-making in Switzerland by harmonizing variant significance assessment and integrating clinical data.

Genetic factors influencing a neurobiological substrate for psychiatric disorders

The paper investigates genetic factors influencing a neurobiological substrate for psychiatric disorders and finds that a common genetic variant is associated with the substrate but not directly with disease risk.

Genetic Identification of Cell Types Underlying Brain Complex Traits Yields Novel Insights Into the Etiology of Parkinson's Disease

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

Shared Genetic Risk between Eating Disorder- and Substance-Use-Related Phenotypes: Evidence from Genome-Wide Association Studies

The paper estimates genetic correlations between eating disorder and substance-use-related phenotypes using GWAS data, finding both positive and negative associations.

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.

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.

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.

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.

Psychiatric Genomics: An Update and an Agenda

The paper updates the Psychiatric Genomics Consortium's progress and outlines future goals for translating genetic findings into clinical and therapeutic applications.

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.

Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder