The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

iScience · Apr 18, 2023Peer-reviewedGenetic & Genomic Medicine

Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia

Vassily Trubetskoy, Antonio F. Pardiñas, Ting Qi, Georgia Panagiotaropoulou, Swapnil Awasthi, Tim B. Bigdeli, Julien Bryois, Chia‐Yen Chen, Charlotte A. Dennison, Lynsey S. Hall, Max Lam, Kyoko Watanabe, Oleksandr Frei, Tian Ge, Janet C Harwood, , Elliot S. Gershon

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

Nature · Apr 8, 2022Peer-reviewedGenetic & Genomic Medicine✦ In-depth digest

Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

Gabriëlla A.M. Blokland, Jakob Grove, Chia‐Yen Chen, Chris J. Cotsapas, Stuart A. Tobet, Robert J. Handa, Stephan Ripke, Benjamin M. Neale, Aiden Corvin, James Walters, Kai-How Farh, Peter Holmans, Phil Lee, Brendan K Bulik-Sullivan, David Andrew Collier, , Joel N. Hirschhorn

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

Biological Psychiatry · Jan 1, 2022Peer-reviewedGenetics

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

Guiyan Ni, Jian Zeng, Joana A. Revez, Ying Wang, Zhili Zheng, Tian Ge, Restuadi Restuadi, Jacqueline Kiewa, Dale R. Nyholt, Jonathan R. I. Coleman, Jordan W. Smoller, Stephan Ripke, Benjamin M. Neale, Aiden Peter Corvin, James Walters, , Vahram H. Haroutunian

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

Biological Psychiatry · May 3, 2021Peer-reviewedGenetic & Genomic Medicine

Large-scale analysis of DNA methylation identifies cellular alterations in blood from psychosis patients and molecular biomarkers of treatment-resistant schizophrenia.

Eilis J. Hannon, Emma Louise Dempster, Georgina Mansell, Joe Burrage, Nicholas James Bass, Marc M. Bohlken, Aiden Peter Corvin, Charles J. C. Curtis, David W. Dempster, Marta Di Forta, Timothy G. Dinan, Gary J Donohoe, Fiona Gaughran, Michael Gill, Amy L. Gillespie, , Jonathan S. Mill

This study identifies DNA methylation changes in blood samples from psychosis patients, including treatment-resistant schizophrenia, and links them to biological age, smoking, and cellular composition.

bioRxiv · Apr 5, 2020 · PreprintGenomics

Age at first birth in women is genetically associated with increased risk of schizophrenia

Guiyan Ni, Jacob Gratten, Naomi R. Wray, Sang Lee, Stephan Ripke, Benjamin M. Neale, Aiden Peter Corvin, James Walters, Kai-How Farh, Peter Holmans, Phil Lee, Brendan K Bulik-Sullivan, David Andrew Collier, Hailiang Huang, Tune H. Pers, , Mads V. Hollegaard

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

Scientific Reports · Jun 29, 2018Peer-reviewedGenetics

Estimation of genetic correlation using linkage disequilibrium score regression and genomic restricted maximum likelihood

Guiyan Ni, Gerhard Moser, Stephan Ripke, Benjamin M. Neale, Aiden Peter Corvin, James Walters, Kai-How Farh, Peter Holmans, Phil Lee, Brendan K Bulik-Sullivan, David Andrew Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, , DAVID MICHAEL HOUGAARD

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

The American Journal of Human Genetics · May 10, 2018Peer-reviewedGenetics