Multimodal evidence for a mechanistic model of working memory deficits in schizophrenia https://www.medrxiv.org/content/10.64898/2026.06.24.26356367v1

Pleased to share that FEMA-Long is now published in PLOS Genetics! FEMA-Long, an efficient mixed-effects modeling method, includes modeling unstructured covariance, spline and spline interactions, and performing longitudinal GWAS to discover time-dependent genetic effects doi.org/10.1371/jour...

I am excited to share that the author version of our accepted manuscript, Linking obesity with white matter microstructure highlights the importance of brainstem tracts and sex differences, is available at Brain Communications! academic.oup.com/braincomms/a...

Excited to share our cross-disorder GWAS analysis of neurological and psychiatric disorders (~1 M cases), now out in @natneuro.nature.com! We show more extensive genetic pleiotropy than previously recognized, supporting a more unified view of these disorders rdcu.be/ePmwD

🚀 Job Opportunity! Are you passionate about neuroscience, women’s health, and large-scale neuroimaging studies? I am hiring a 3-year Postdoc to join the @erc.europa.eu project #MappingPerimenopause! karriere.charite.de/en/job-vacan...

Introducing FEMA-Long for high-dimensional large-scale mixed-effects modelling! Includes modelling unstructured covariance, non-linear effects using splines, time-dependent effects with spline interactions, and longitudinal GWAS with time-dependent genetic effects! www.biorxiv.org/content/10.1...

New insight from the PGC #GWAS: Genetic differences in bipolar disorder vary across clinical, community-based, and self-report samples, mainly driven by different prevalences of bipolar subtypes (BDI vs. BDII). Data-gathering strategies matter. 🧬 go.nature.com/3PJhi3W

New paper alert! Our paper 'Charting the shared genetic architecture of Alzheimer's disease, cognition, and educational attainment, and associations with brain development' is out in Neurobiology of Disease! @SFFNORMENT www.sciencedirect.com/science/arti...

Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder https://www.medrxiv.org/content/10.1101/2024.12.12.24318953v1