<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Itai T</submitter><funding>NIMH NIH HHS</funding><funding>NLM NIH HHS</funding><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><funding>NIH HHS</funding><pagination>62-70</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11270591</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>192(3-4)</volume><pubmed_abstract>Investigating functional, temporal, and cell-type expression features of mutations is important for understanding a complex disease. Here, we collected and analyzed common variants and de novo mutations (DNMs) in schizophrenia (SCZ). We collected 2,636 missense and loss-of-function (LoF) DNMs in 2,263 genes across 3,477 SCZ patients (SCZ-DNMs). We curated three gene lists: (a) SCZ-neuroGenes (159 genes), which are intolerant to LoF and missense DNMs and are neurologically important, (b) SCZ-moduleGenes (52 genes), which were derived from network analyses of SCZ-DNMs, and (c) SCZ-commonGenes (120 genes) from a recent GWAS as reference. To compare temporal gene expression, we used the BrainSpan dataset. We defined a fetal effect score (FES) to quantify the involvement of each gene in prenata</pubmed_abstract><journal>American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics</journal><pubmed_title>De novo mutations disturb early brain development more frequently than common variants in schizophrenia.</pubmed_title><pmcid>PMC11270591</pmcid><funding_grant_id>P20 GM121325</funding_grant_id><funding_grant_id>R01MH101054</funding_grant_id><funding_grant_id>R01LM012806</funding_grant_id><funding_grant_id>R01 LM012806</funding_grant_id><funding_grant_id>R01 MH101054</funding_grant_id><funding_grant_id>U54 GM104944</funding_grant_id><pubmed_authors>Jia P</pubmed_authors><pubmed_authors>Itai T</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Chen X</pubmed_authors><pubmed_authors>Zhao Z</pubmed_authors><pubmed_authors>Dai Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>De novo mutations disturb early brain development more frequently than common variants in schizophrenia.</name><description>Investigating functional, temporal, and cell-type expression features of mutations is important for understanding a complex disease. Here, we collected and analyzed common variants and de novo mutations (DNMs) in schizophrenia (SCZ). We collected 2,636 missense and loss-of-function (LoF) DNMs in 2,263 genes across 3,477 SCZ patients (SCZ-DNMs). We curated three gene lists: (a) SCZ-neuroGenes (159 genes), which are intolerant to LoF and missense DNMs and are neurologically important, (b) SCZ-moduleGenes (52 genes), which were derived from network analyses of SCZ-DNMs, and (c) SCZ-commonGenes (120 genes) from a recent GWAS as reference. To compare temporal gene expression, we used the BrainSpan dataset. We defined a fetal effect score (FES) to quantify the involvement of each gene in prenata</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Apr</publication><modification>2026-06-02T23:35:20.417Z</modification><creation>2025-04-19T13:12:58.638Z</creation></dates><accession>S-EPMC11270591</accession><cross_references><pubmed>36863698</pubmed><doi>10.1002/ajmg.b.32932</doi></cross_references></HashMap>