Jakob Grove

2 weeks ago | nature.com | Christina Dardani |Hannah J. Jones |Evie Stergiakouli |Jakob Grove |Andrew McIntosh |Andrew Mcintosh | +3 more

AbstractImmune dysfunction is implicated in the aetiology of psychiatric, neurodevelopmental, and neurodegenerative conditions, but the issue of causality remains unclear impeding attempts to develop new interventions. Using genomic data on protein and gene expression across blood and brain, we assessed evidence of a potential causal role for 736 immune response-related biomarkers on 7 neuropsychiatric conditions by applying Mendelian randomization (MR) and genetic colocalisation analyses.

Jul 16, 2024 | nature.com | Jinjie Duan |Daniel F Levey |G. Bragi Walters |Emma Johnson |Arpana Agrawal |Joel Gelernter | +2 more

AbstractCannabis use disorder (CUD) and cannabis use (CU) are prevalent conditions co-occurring with attention-deficit hyperactivity disorder (ADHD). Here we report results from a cross-disorder genome-wide association study of ADHD and CUD or CU. We identified 36 concordant genome-wide significant loci for ADHD–CUD and ten loci for ADHD–CU. DRD2 was identified as an ADHD–CUD risk gene.

Oct 5, 2023 | nature.com | Robin Beaumont |Christopher Flatley |Marc Vaudel |JING CHEN |Gunn-Helen Moen |Line Skotte | +52 more

AbstractA well-functioning placenta is essential for fetal and maternal health throughout pregnancy. Using placental weight as a proxy for placental growth, we report genome-wide association analyses in the fetal (n = 65,405), maternal (n = 61,228) and paternal (n = 52,392) genomes, yielding 40 independent association signals. Twenty-six signals are classified as fetal, four maternal and three fetal and maternal. A maternal parent-of-origin effect is seen near KCNQ1.

Aug 5, 2023 | nature.com | Clara Albiñana |Hugues Aschard |Cynthia Bulik |Jakob Grove |David M. Hougaard |Thomas Werge | +5 more

AbstractThe predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and takes time, but this sample size can be effectively increased by using genetically correlated phenotypes. We propose a framework to generate multi-PGS from thousands of publicly available genome-wide association studies (GWAS) with no need to individually select the most relevant ones.

Jul 18, 2023 | nature.com | Thomas D. Als |Jakob Grove |Georgios Voloudakis |Karen Therrien |Joonas Naamanka |Daniel F Levey | +15 more

AbstractDepression is a common psychiatric disorder and a leading cause of disability worldwide. Here we conducted a genome-wide association study meta-analysis of six datasets, including >1.3 million individuals (371,184 with depression) and identified 243 risk loci. Overall, 64 loci were new, including genes encoding glutamate and GABA receptors, which are targets for antidepressant drugs.