Zhijian Yang

Aug 28, 2024 | nature.com | Jiantao Chen |Zhijian Yang |Ranran Zhai |Xiao Feng |Ting Li |Denis Maslov | +25 more

AbstractUnderstanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioural traits and the disease aetiology of neuropsychiatric disorders. Here the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,000 individuals for 184 neuro-related proteins in human plasma. The analysis identified 125 cis-regulatory protein quantitative trait loci (cis-pQTL) and 164 trans-pQTL.

Aug 15, 2024 | nature.com | Zhijian Yang |Junhao Wen |Guray Erus |Elizabeth Mamourian |Katharina Wittfeld |Duygu Tosun | +17 more

AbstractBrain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been instrumental in understanding neuroanatomical changes that occur during aging.

Jan 7, 2024 | nature.com | Zhijian Yang |Junhao Wen |Ahmed Abdulkadir |Guray Erus |Luigi Ferrucci |Sterling Johnson | +6 more

AbstractDisease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting disease subtypes that can be captured using MRI and machine learning methods. However, biological interpretability and treatment relevance are limited if the derived subtypes are not associated with genetic drivers or susceptibility factors.

Sep 30, 2023 | biorxiv.org | Junhao Wen |Bingxin Zhao |Zhijian Yang |Guray Erus

AbstractThe complex biological mechanisms underlying human brain aging remain incompletely understood, involving multiple body organs and chronic diseases. In this study, we used multimodal magnetic resonance imaging and artificial intelligence to examine the genetic architecture of the brain age gap (BAG) derived from gray matter volume (GM-BAG, N=31,557 European ancestry), white matter microstructure (WM-BAG, N=31,674), and functional connectivity (FC-BAG, N=32,017).