Marcella Rietschel

Co-expression-based models improve eQTL predictions and highlightnovel transcriptome-wide genes associated with schizophrenia

The paper introduces co-expression-based models to improve eQTL predictions and identifies novel schizophrenia-associated genes using brain RNA-seq data.

Dynamic Epigenetic Changes During Antidepressant Pharmacotherapy in Major Depressive Disorder

This study identifies DNA methylation changes over time during antidepressant treatment in MDD, linking them to neuroplasticity and inflammation, and shows differences between responders and non-responders.

A multi-omics and cell type-specific characterization of the ventral striatum in human cocaine use disorder

This study characterizes molecular changes in the ventral striatum of individuals with cocaine use disorder using multi-omics and single-cell approaches, identifying perturbations in metabolic pathways and cell-type-specific alterations.

Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation

This study examines the association between CYP2C19 and CYP2D6 metabolic phenotypes and antidepressant response using genotype imputation across 13 studies, finding no significant associations after correction for multiple testing.

Connection Failure: Differences in White Matter Microstructure are associated with 5-HTTLPR but not with Risk-Seeking for Losses

The paper investigates whether 5-HTTLPR genotype differences in white matter microstructure explain risk-seeking behavior for losses, but finds no significant associations.

Genetic structure of major depression symptoms across clinical and community cohorts

This study identifies genetic subtypes of major depressive symptoms by analyzing data from clinical and community cohorts, finding distinct factors for appetite/weight symptoms and missing data patterns.

Single molecule long-read real-time amplicon-based sequencing of CYP2D6: a proof-of-concept with hybrid haplotypes

This paper develops a HiFi SMRT amplicon-based method to accurately detect CYP2D6 haplotypes, including fusion genes, with high alignment accuracy.

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.

Meta-analysis of epigenome-wide associations between DNA methylation at birth and childhood cognitive skills.

This study examines DNA methylation at birth and its association with childhood cognitive skills, finding weak single CpG site associations and one region near DUSP22 linked to non-verbal cognition.

Cross-validation of technologies for genotyping CYP2D6 and CYP2C19

The paper cross-validates genotyping methods for CYP2D6 and CYP2C19, finding high concordance for CYP2C19 and feasibility of NGS for CYP2D6 with automated interpretation.

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.

Genetic Contributions to Alcohol Use Disorder Treatment Outcomes: A Genome-wide Pharmacogenomics Study

This study identifies genetic variants associated with AUD treatment outcomes using pharmacogenomic analyses of naltrexone and acamprosate responses.

"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.

Expanding the Genetic Architecture of Nicotine Dependence and its Shared Genetics with Multiple Traits: Findings from the Nicotine Dependence GenOmics (iNDiGO) Consortium

The paper identifies novel genetic loci associated with nicotine dependence and shows genetic correlations with other smoking traits and comorbidities using genome-wide association studies.

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

DeepWAS integrates regulatory effect predictions of variants into GWAS to identify regulatory SNPs associated with diseases and traits.

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.

Conditional GWAS analysis identifies putative disorder-specific SNPs for psychiatric disorders

This study uses conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders, finding some variants with reduced pleiotropy effects.

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.

Effect of cytochrome CYP2C19 metabolizing activity on antidepressant response and side effects: meta-analysis of data from genome-wide association studies

This paper conducts a meta-analysis showing that CYP2C19 poor metabolizers have better antidepressant efficacy but similar side effects compared to extensive metabolizers.

Higher genetic risk for schizophrenia is associated with living in urban and populated areas

The paper finds a genetic association between schizophrenia risk and urban living, suggesting genetic factors influence migration to densely populated areas.

Assessing 42 inflammatory markers in 321 control subjects and 887 major depressive disorder cases: BMI and other confounders and overall predictive ability for current depression

The paper evaluates 42 inflammatory markers in MDD cases and controls, finding strong confounding effects and limited predictive power of individual markers for MDD diagnosis.

New insights on the pharmacogenomics of antidepressant response from the GENDEP and STAR*D studies: rare variant analysis and high-density imputation

This study identifies two SNPs associated with antidepressant response in GENDEP and STAR*D studies but finds limited replication in independent cohorts.

Genome-wide Association Study of Clinical Features in the Schizophrenia Psychiatric Genomics Consortium: Confirmation of Polygenic Effect on Negative Symptoms

The paper confirms a polygenic effect on negative symptoms in schizophrenia using GWAS, identifies novel loci, and highlights the need for larger samples.

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.

Pharmacogenetics of antidepressant response: a polygenic approach

This study investigates whether polygenic risk scores (PRS) can predict antidepressant response in MDD, finding no significant predictive effect.