Loes M. Olde Loohuis

The paper identifies a founder variant in ADAP1 associated with increased risk of schizophrenia and bipolar disorder in a Colombian genetic isolate.

Ultra-rare damaging coding variants in 87,959 schizophrenia cases and 150,587 controls implicate 40 genes (16 exome-wide, 24 at 5% FDR), half overlapping autism, developmental delay or bipolar genes.

The paper shows that European GWAS findings for serious mental illness and cognition are portable to an admixed Latin American population, associating genetic risk scores with multiple symptoms and cognitive traits.

This study shows that inclusion biases in biobanks affect genetic analysis results and suggests using inverse probability weighting to improve variant discovery and replication.

This study maps quantitative trait loci for CSF metabolites and identifies associations with brain traits, revealing potential neurobiological pathways.

The paper introduces BGE, a sequencing method that combines low-pass whole genome and deep whole exome data, showing high accuracy and cost-effectiveness for genetic variant discovery.

The paper investigates epigenetic age acceleration in schizophrenia, finding age- and sex-specific effects and associations with polygenic risk scores.

Admix-kit provides tools for genetic analysis of admixed populations, enabling simulation, association testing, and polygenic scoring.

The paper evaluates polygenic score accuracy across genetic ancestry continua in diverse populations, finding significant variation in performance linked to genetic distance from training data.

This study shows that reducing RNA-seq coverage while increasing sample size improves eQTL discovery power.

The paper investigates the role of the complement system and C4A in schizophrenia by analyzing gene co-expression networks and finds that synaptic pathways, not the complement system, are linked to schizophrenia risk.

The paper investigates genetic risk for psychosis spectrum symptoms in youth, finding a significant link with ADHD polygenic scores and age-specific effects.

The paper investigates how diagnosis and symptom domains affect cognitive performance in a case-control study of severe mental illness, finding distinct cognitive profiles linked to specific symptom domains.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.

This study examines genetic risk for bipolar disorder in extended families, finding that both common and rare variants contribute to susceptibility, with no significant segregation of large-effect variants.

This paper develops a machine learning model using EMR data to predict in-hospital mortality preoperatively, achieving higher accuracy than existing clinical scores.

The paper analyzes whole blood transcriptomes in bipolar disorder patients and finds that lithium treatment, not the disorder itself, drives most gene expression changes.

This study identifies C4 genes in the MHC locus as sex-specific contributors to risk for lupus, Sjogrens syndrome, and schizophrenia, with stronger effects in men than women.

The paper examines dynamic functional network connectivity in youth with psychosis spectrum symptoms using resting state fMRI data from the Philadelphia Neurodevelopmental Cohort.

The paper identifies structural brain differences in youth with psychosis spectrum symptoms compared to other groups, highlighting reduced cortical surface area and thalamic volume.

The paper analyzes genomic diversity in Latin American population isolates, finding increased genetic diversity and consanguinity compared to the Finnish isolate.

This study integrates GWAS risk data with longitudinal in vitro gene expression during neuronal differentiation to identify schizophrenia-related gene clusters.

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