Caroline M. Nievergelt

The paper identifies genetic factors associated with balance in the elderly through GWAS and multimodal transcriptomic analysis of otolithic organs.

This study fine-maps PTSD GWAS data with amygdala eQTLs and shows FOXP2 expression is linked to increased PTSD risk, with functional validation in mice and humans.

The paper examines how gene dosage, polygenic background, and environment influence complex traits like height and BMI using large-scale data from multiple cohorts.

The paper introduces a Nextflow workflow for local ancestry-aware GWAS, demonstrating its utility in analyzing admixed individuals and identifying ancestry-specific genetic associations.

This paper conducts a GWAS meta-analysis of sensorineural hearing loss, identifying 108 loci, including 54 novel genes, and shows substantial genetic overlap between cohorts despite differing phenotypes.

The paper identifies five genomic factors explaining most genetic variance across 14 psychiatric disorders and finds shared and disorder-specific genetic signals with distinct biological functions.

This study evaluates LAI performance in admixed populations, finding reduced accuracy for Amerindigenous tracts and highlighting the importance of reference panel matching.

The paper uses genomic structural equation modeling to identify latent genetic factors underlying cortical surface area and thickness, finding genetic correlations with psychiatric disorders.

This study conducts a genome-wide association study (GWAS) of traumatic brain injury (TBI) in U.S. military veterans, identifying 15 genome-wide significant loci and showing genetic correlations with psychiatric traits.

This study shows that autism spectrum disorder risk is influenced by rare variants, polygenic risk, and sex, with sex-specific effects on genetic liability and behavioral traits.

This study identifies 54 risk loci for hearing loss in adults across multiple cohorts, revealing sex differences, ancestry-specific polygenic risks, and interactions with environmental factors like noise and smoking.

This study shows that bipolar disorder patient-derived neurons exhibit circadian rhythm abnormalities, with lithium non-responders showing more severe deficits that can be partially reversed by temperature entrainment.

Tractor improves GWAS power and resolution by including admixed individuals through local ancestry-aware analysis.

This study identifies genetic variants associated with self-reported childhood maltreatment and finds significant genetic correlations with depressive symptoms.

The paper performs a meta-analysis of DNA methylation data from military cohorts to identify CpG sites and regions associated with PTSD development.

This study identifies genetic loci associated with psychological resilience in US Army soldiers using GWAS, finding significant associations with neuroticism and specific genes involved in neuronal survival.

This study identifies ten novel methylation loci associated with PTSD through a meta-analysis of 1,896 cases and controls across ten cohorts, highlighting the AHRR locus and its link to kynurenine levels.

The paper identifies SNRNP35 as a trauma type-specific PTSD gene through analysis of genetically regulated gene expression in PTSD cases and controls.

This study uses genetic data to show that educational attainment causally reduces PTSD risk, with economic status mediating this relationship.

This study conducts the largest GWAS for PTSD, identifying 6 genome-wide significant loci in European and African ancestries and highlighting novel biological pathways.

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.

This study identifies rare paternally-inherited structural variants contributing to autism by disrupting noncoding regions and coding genes, with differential parental contributions.

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.

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

This study identifies shared and sex-specific inflammatory pathways in PTSD through a meta-analysis of blood transcriptomes across different trauma types and biological sexes.