Abstract Background and Objective Alterations of the expression of a variety of genes have
been reported in patients with schizophrenia (SCZ). Moreover, machine learning (ML) …

Our hypothesis is that machine learning (ML) analysis of whole exome sequencing (WES)
data can be used to identify individuals at high risk for schizophrenia (SCZ). This study …

Background Schizophrenia (SCZ) is a chronic and severe mental illness with no cure so far.
Mendelian randomization (MR) is a genetic method widely used to explore etiologies of …

To investigate whether pan-schizophrenia genes could be leveraged for building cohort-
specific signatures reflecting the functioning of the affected brain, we first collected 1,518 …

Aims As one of the most fundamental questions in modern science,“what causes
schizophrenia (SZ)” remains a profound mystery due to the absence of objective gene …

Numerous studies have examined gene expression profiles in post-mortem human brain
samples from individuals with schizophrenia compared with healthy controls, to gain insight …

Schizophrenia (SCZ) is a severe psychiatric disorder affecting 0.7% of the population [1].
When inadequately treated, subjects with SCZ experience symptoms that render them …

Schizophrenia is a multifactorial disorder, the genetic architecture of which remains unclear.
Although many studies have examined the etiology of schizophrenia, the gene sets that …

Schizophrenia (SCZ) is a debilitating neuropsychiatric disorder with high heritability and
complex inheritance. In the past decade, successful identification of numerous susceptibility …

Although a number of studies have identified several convincing candidate genes or
molecules, the pathophysiology of schizophrenia (SCZ) has not been completely elucidated …