Nadine Parker
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nadineparker.bsky.social
Nadine Parker
@nadineparker.bsky.social
Researcher, Centre for Precision Psychiatry, University of Oslo
Reposted by Nadine Parker
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
A genome-wide analysis of the shared genetic risk architecture of complex neurological and psychiatric disorders
Nature Neuroscience - Smeland et al. demonstrate greater genetic overlap between neurological and psychiatric disorders than previously recognized, along with diverse neurobiological associations....
rdcu.be
November 12, 2025 at 12:12 PM
Reposted by Nadine Parker
🚀 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...
Postdoctoral Researcher (d/f/m) in Women’s Brain Health (Neuroimaging)
full-time, part-time | 14.10.2025 | Campus Charité Mitte
karriere.charite.de
September 23, 2025 at 4:34 PM
Reposted by Nadine Parker
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...
FEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasets
Linear mixed-effects (LME) models are commonly used for analyzing longitudinal data. However, most applications of LME models rely on random intercepts or simple, e.g., stationary, covariance. Here, w...
www.biorxiv.org
May 16, 2025 at 3:22 PM
Reposted by Nadine Parker
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
Genomics yields biological and phenotypic insights into bipolar disorder - Nature
Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.
go.nature.com
January 23, 2025 at 6:35 PM
Reposted by Nadine Parker
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...
December 17, 2024 at 1:46 PM
Reposted by Nadine Parker
Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder https://www.medrxiv.org/content/10.1101/2024.12.12.24318953v1
December 13, 2024 at 6:40 PM