{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T08:54:55Z","timestamp":1791881695703,"version":"4.3.4"},"reference-count":73,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T00:00:00Z","timestamp":1791849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDA0460202"],"award-info":[{"award-number":["XDA0460202"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFA1307701"],"award-info":[{"award-number":["2024YFA1307701"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["20250484819"],"award-info":[{"award-number":["20250484819"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32300542"],"award-info":[{"award-number":["32300542"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Proteome-wide association studies (PWASs) have emerged as a powerful approach for investigating associations between genetically regulated proteins and complex traits, offering valuable insights into the mechanisms linking genetic variation, protein abundance, and phenotypes. Despite the rapid expansion of PWAS research, no resource currently exists to systematically collect, integrate, and organize publicly accessible PWAS findings and related knowledge, limiting efficient use and exploration of these valuable assets. To address this urgent need, we introduce PWAS Atlas (https:\/\/ngdc.cncb.ac.cn\/pwas\/), a comprehensive knowledgebase that consolidates literature-curated information and large-scale, standardized PWAS analyses. The PWAS Atlas encompasses 40\u2009609 associations among 4585 genes\/proteins and 763 traits, derived from 118 publications and 841 GWAS datasets. It implements interactive knowledge graphs that reveal associations among genes, proteins, tissues, and traits, as well as online comparative analysis tools that enable systematic comparisons across multiple genes or traits. PWAS Atlas also provides a user-friendly web platform for browsing, searching, exploring, and downloading data. By enabling standardized retrieval, visualization, comparison, and reuse of PWAS information, PWAS Atlas serves as an extensive resource for investigating protein-trait associations and deriving insights into disease biology.<\/jats:p>","DOI":"10.1093\/nar\/gkag967","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:21:11Z","timestamp":1790594471000},"source":"Crossref","is-referenced-by-count":0,"title":["PWAS Atlas: a comprehensive knowledgebase of proteome-wide association studies"],"prefix":"10.1093","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0055-439X","authenticated-orcid":false,"given":"Fangming","family":"Lv","sequence":"first","affiliation":[{"name":"National Genomics Data Center, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Institute of Genomics, Chinese Academy of Sciences , Beijing 100101 ,","place":["China"]},{"name":"University of Chinese Academy of Sciences , Beijing 100049 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1930-7171","authenticated-orcid":false,"given":"Qiheng","family":"Qian","sequence":"additional","affiliation":[{"name":"National Genomics Data Center, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Institute of Genomics, Chinese Academy of Sciences , Beijing 100101 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3575-6967","authenticated-orcid":false,"given":"Zhuojing","family":"Fan","sequence":"additional","affiliation":[{"name":"National Genomics Data Center, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Institute of Genomics, Chinese Academy of Sciences , Beijing 100101 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaoyue","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Biological and Chemical Engineering, University of Science and Technology Beijing , Beijing 100083 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7364-9677","authenticated-orcid":false,"given":"Jingyao","family":"Zeng","sequence":"additional","affiliation":[{"name":"National Genomics Data Center, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Institute of Genomics, Chinese Academy of Sciences , Beijing 100101 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2835-4340","authenticated-orcid":false,"given":"Jingfa","family":"Xiao","sequence":"additional","affiliation":[{"name":"National Genomics Data Center, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Key Laboratory of Intelligent Governance and Application of Biological Big Data, China National Center for Bioinformation , Beijing 100101 ,","place":["China"]},{"name":"Beijing Institute of Genomics, Chinese Academy of Sciences , Beijing 100101 ,","place":["China"]},{"name":"University of Chinese Academy of Sciences , Beijing 100049 ,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2026,10,13]]},"reference":[{"key":"2026101304332954900_B1","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.ajhg.2017.06.005","article-title":"10 Years of GWAS discovery: biology, function, and translation","volume-title":"Am Hum Genet","author":"Visscher","year":"2017"},{"key":"2026101304332954900_B2","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1038\/s41588-021-00945-5","article-title":"An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci","volume":"53","author":"Mountjoy","year":"2021","journal-title":"Nat Genet"},{"key":"2026101304332954900_B3","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1038\/s41588-020-00773-z","article-title":"Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer\u2019s disease pathogenesis","volume":"53","author":"Wingo","year":"2021","journal-title":"Nat Genet"},{"key":"2026101304332954900_B4","doi-asserted-by":"publisher","first-page":"pp. 77","DOI":"10.1016\/B978-0-323-91684-4.00003-7","article-title":"Proteins: Structure, properties, and importance","volume-title":"Handbook of Biomolecules: Fundamentals, Properties and Applications","author":"Prasad","year":"2023"},{"key":"2026101304332954900_B5","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1126\/science.1260793","article-title":"Impact of regulatory variation from RNA to protein","volume":"347","author":"Battle","year":"2015","journal-title":"Science"},{"key":"2026101304332954900_B6","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1038\/s41586-018-0175-2","article-title":"Genomic atlas of the human plasma proteome","volume":"558","author":"Sun","year":"2018","journal-title":"Nature"},{"key":"2026101304332954900_B7","doi-asserted-by":"publisher","first-page":"e70294","DOI":"10.1111\/cns.70294","article-title":"Proteome-wide association study for finding druggable targets in progression and onset of Parkinson\u2019s disease","volume":"31","author":"Gao","year":"2025","journal-title":"CNS Neurosci Ther"},{"key":"2026101304332954900_B8","doi-asserted-by":"publisher","first-page":"e70370","DOI":"10.1111\/cns.70370","article-title":"Identification of common brain protein and genetic loci between Parkinson\u2019s disease and lewy body dementia","volume":"31","author":"Jia","year":"2025","journal-title":"CNS Neurosci Ther"},{"key":"2026101304332954900_B9","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1038\/s42003-026-10030-4","article-title":"Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer\u2019s disease dementia","volume":"9","author":"Liu","year":"2026","journal-title":"Commun Biol"},{"key":"2026101304332954900_B10","doi-asserted-by":"publisher","first-page":"109102","DOI":"10.1016\/j.thromres.2024.109102","article-title":"Shared genetic etiology of vessel diseases: a genome-wide multi-traits association analysis","volume":"241","author":"Song","year":"2024","journal-title":"Thromb Res"},{"key":"2026101304332954900_B11","doi-asserted-by":"publisher","first-page":"5968","DOI":"10.1111\/dom.70807","article-title":"Integrative proteomic and machine learning analysis identifies novel predictors and risk model for diabetic macrovascular complications","volume":"28","author":"Ma","year":"2026","journal-title":"Diabetes Obes Metab"},{"key":"2026101304332954900_B12","doi-asserted-by":"publisher","first-page":"1796","DOI":"10.1038\/s41416-024-02879-1","article-title":"A proteome-wide association study identifies putative causal proteins for breast cancer risk","volume":"131","author":"Zhao","year":"2024","journal-title":"Br J Cancer"},{"key":"2026101304332954900_B13","doi-asserted-by":"publisher","first-page":"1198","DOI":"10.1158\/1055-9965.EPI-23-0309","article-title":"Predicted proteome association studies of breast, prostate, ovarian, and endometrial cancers implicate plasma protein regulation in cancer susceptibility","volume":"32","author":"Gregga","year":"2023","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"key":"2026101304332954900_B14","doi-asserted-by":"publisher","first-page":"6065","DOI":"10.1038\/s41380-021-01251-6","article-title":"Identification of novel drug targets for Alzheimer\u2019s disease by integrating genetics and proteomes from brain and blood","volume":"26","author":"Ou","year":"2021","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B15","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1038\/s41586-023-06592-6","article-title":"Plasma proteomic associations with genetics and health in the UK Biobank","volume":"622","author":"Sun","year":"2023","journal-title":"Nature"},{"key":"2026101304332954900_B16","doi-asserted-by":"publisher","first-page":"e0264341","DOI":"10.1371\/journal.pone.0264341","article-title":"Protein prediction for trait mapping in diverse populations","volume":"17","author":"Schubert","year":"2022","journal-title":"PLoS One"},{"key":"2026101304332954900_B17","doi-asserted-by":"publisher","first-page":"D1132","DOI":"10.1093\/nar\/gkae1125","article-title":"PWAS Hub: exploring gene-based associations of complex diseases with sex dependency","volume":"53","author":"Zucker","year":"2025","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B18","doi-asserted-by":"publisher","first-page":"D20","DOI":"10.1093\/nar\/gkae979","article-title":"Database resources of the National Center for Biotechnology Information in 2025","volume":"53","author":"Sayers","year":"2025","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B19","doi-asserted-by":"publisher","first-page":"D948","DOI":"10.1093\/nar\/gkae1071","article-title":"Ensembl 2025","volume":"53","author":"Dyer","year":"2025","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B20","doi-asserted-by":"publisher","first-page":"D609","DOI":"10.1093\/nar\/gkae1010","article-title":"UniProt: the Universal protein knowledgebase in 2025","volume":"53","author":"UniProt Consortium","year":"2025","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B21","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","article-title":"Gene ontology: tool for the unification of biology","volume":"25","author":"Ashburner","year":"2000","journal-title":"Nat Genet"},{"key":"2026101304332954900_B22","doi-asserted-by":"publisher","first-page":"D1779","DOI":"10.1093\/nar\/gkaf1292","article-title":"The gene ontology knowledgebase in 2026","volume-title":"Nucleic Acids Res","author":"The Gene Ontology Consortium","year":"2026"},{"key":"2026101304332954900_B23","doi-asserted-by":"publisher","first-page":"D1180","DOI":"10.1093\/nar\/gkad1004","article-title":"The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods","volume":"52","author":"Zdrazil","year":"2024","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B24","doi-asserted-by":"publisher","first-page":"1112","DOI":"10.1093\/bioinformatics\/btq099","article-title":"Modeling sample variables with an experimental factor ontology","volume":"26","author":"Malone","year":"2010","journal-title":"Bioinformatics"},{"key":"2026101304332954900_B25","doi-asserted-by":"publisher","first-page":"iyaf215","DOI":"10.1093\/genetics\/iyaf215","article-title":"Mondo: integrating disease terminology across communities","volume":"232","author":"Vasilevsky","year":"2026","journal-title":"Genetics"},{"key":"2026101304332954900_B26","doi-asserted-by":"publisher","first-page":"D1255","DOI":"10.1093\/nar\/gkab1063","article-title":"The Human Disease Ontology 2022 update","volume":"50","author":"Schriml","year":"2022","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B27","doi-asserted-by":"publisher","first-page":"D865","DOI":"10.1093\/nar\/gkw1039","article-title":"The Human phenotype ontology in 2017","volume":"45","author":"K\u00f6hler","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B28","doi-asserted-by":"publisher","first-page":"18","DOI":"10.3389\/fgene.2012.00018","article-title":"The AEO, an ontology of anatomical entities for classifying animal tissues and organs","volume":"3","author":"Bard","year":"2012","journal-title":"Front Genet"},{"key":"2026101304332954900_B29","doi-asserted-by":"publisher","first-page":"87","DOI":"10.3389\/fgene.2012.00087","article-title":"Three ontologies to define phenotype measurement data","volume":"3","author":"Shimoyama","year":"2012","journal-title":"Front Genet"},{"key":"2026101304332954900_B30","doi-asserted-by":"publisher","first-page":"1110","DOI":"10.1093\/jamia\/ocaa061","article-title":"Development of the gender, sex, and sexual orientation ontology: evaluation and workflow","volume":"27","author":"Kronk","year":"2020","journal-title":"J Am Med Inform Assoc"},{"key":"2026101304332954900_B31","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1007\/s00335-023-09992-1","article-title":"The ontology of biological attributes (OBA)\u2014Computational traits for the life sciences","volume":"34","author":"Stefancsik","year":"2023","journal-title":"Mamm Genome"},{"key":"2026101304332954900_B32","doi-asserted-by":"publisher","first-page":"pp. 119","DOI":"10.1007\/978-3-642-24279-3_14","article-title":"The emotion ontology: Enabling interdisciplinary research in the affective sciences","volume-title":"Modeling and Using Context. Lecture Notes in Computer Science","author":"Hastings","year":"2011"},{"key":"2026101304332954900_B33","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1007\/s00335-012-9421-3","article-title":"The Mammalian Phenotype ontology as a unifying standard for experimental and high-throughput phenotyping data","volume":"23","author":"Smith","year":"2012","journal-title":"Mamm Genome"},{"key":"2026101304332954900_B34","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s00335-013-9481-z","article-title":"Analyzing gene expression data in mice with the Neuro Behavior Ontology","volume":"25","author":"Hoehndorf","year":"2014","journal-title":"Mamm Genome"},{"key":"2026101304332954900_B35","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1038\/s41597-026-06584-x","article-title":"The ontology of adverse events in 2025","volume":"13","author":"Pan","year":"2026","journal-title":"Sci Data"},{"key":"2026101304332954900_B36","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1093\/bib\/bbx035","article-title":"The anatomy of phenotype ontologies: principles, properties and applications","volume":"19","author":"Gkoutos","year":"2018","journal-title":"Briefings Bioinf"},{"key":"2026101304332954900_B37","doi-asserted-by":"publisher","first-page":"D754","DOI":"10.1093\/nar\/gkp832","article-title":"GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database","volume":"38","author":"Schriml","year":"2010","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B38","doi-asserted-by":"publisher","first-page":"e100855","DOI":"10.1371\/journal.pone.0100855","article-title":"OMIT: dynamic, semi-automated ontology development for the microRNA domain","volume":"9","author":"Huang","year":"2014","journal-title":"PLoS One"},{"key":"2026101304332954900_B39","doi-asserted-by":"publisher","first-page":"D339","DOI":"10.1093\/nar\/gkw1075","article-title":"Protein ontology (PRO): enhancing and scaling up the representation of protein entities","volume":"45","author":"Natale","year":"2017","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B40","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1016\/j.medj.2023.10.003","article-title":"The Medical Action Ontology: a tool for annotating and analyzing treatments and clinical management of human disease","volume":"4","author":"Carmody","year":"2023","journal-title":"Med"},{"key":"2026101304332954900_B41","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.jbi.2004.09.001","article-title":"Modeling a description logic vocabulary for cancer research","volume":"38","author":"Hartel","year":"2005","journal-title":"J Biomed Inform"},{"key":"2026101304332954900_B42","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1038\/s41588-022-01051-w","article-title":"Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies","volume":"54","author":"Zhang","year":"2022","journal-title":"Nat Genet"},{"key":"2026101304332954900_B43","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/nature15393","article-title":"A global reference for human genetic variation","volume-title":"Nature","author":"The 1000 Genomes Project Consortium","year":"2015"},{"key":"2026101304332954900_B44","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1038\/ng.3506","article-title":"Integrative approaches for large-scale transcriptome-wide association studies","volume":"48","author":"Gusev","year":"2016","journal-title":"Nat Genet"},{"key":"2026101304332954900_B45","doi-asserted-by":"publisher","first-page":"D638","DOI":"10.1093\/nar\/gkac1000","article-title":"The STRING database in 2023: protein\u2013protein association networks and functional enrichment analyses for any sequenced genome of interest","volume":"51","author":"Szklarczyk","year":"2023","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B46","doi-asserted-by":"publisher","first-page":"1260419","DOI":"10.1126\/science.1260419","article-title":"Tissue-based map of the human proteome","volume":"347","author":"Uhl\u00e9n","year":"2015","journal-title":"Science"},{"key":"2026101304332954900_B47","doi-asserted-by":"publisher","first-page":"3978","DOI":"10.1038\/s41380-026-03505-7","article-title":"TREM2 in neurodegeneration and diseases","volume":"31","author":"Abdulkhaliq","year":"2026","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B48","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1056\/NEJMoa1211103","article-title":"Variant of TREM2 associated with the risk of Alzheimer\u2019s disease","volume-title":"N Engl J Med","author":"Jonsson","year":"2013"},{"key":"2026101304332954900_B49","doi-asserted-by":"publisher","first-page":"1407980","DOI":"10.3389\/fnagi.2024.1407980","article-title":"Association of soluble TREM2 with Alzheimer\u2019s disease and mild cognitive impairment: a systematic review and meta-analysis","volume":"16","author":"Wang","year":"2024","journal-title":"Front Aging Neurosci"},{"key":"2026101304332954900_B50","doi-asserted-by":"publisher","first-page":"15318","DOI":"10.1038\/s41598-024-66211-w","article-title":"Neuroimaging biomarkers and CSF sTREM2 levels in Alzheimer\u2019s disease: a longitudinal study","volume":"14","author":"Nabizadeh","year":"2024","journal-title":"Sci Rep"},{"key":"2026101304332954900_B51","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1093\/schbul\/sby058","article-title":"Global epidemiology and burden of schizophrenia: findings from the global burden of disease study 2016","volume":"44","author":"Charlson","year":"2018","journal-title":"Schizophr Bull"},{"key":"2026101304332954900_B52","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1038\/mp.2016.212","article-title":"Common variants on 2p16.1, 6p22.1 and 10q24.32 are associated with schizophrenia in Han Chinese population","volume":"22","author":"Yu","year":"2017","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B53","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1038\/s41386-023-01732-y","article-title":"Decreased CNNM2 expression in prefrontal cortex affects sensorimotor gating function, cognition, dendritic spine morphogenesis and risk of schizophrenia","volume":"49","author":"Zhou","year":"2024","journal-title":"Neuropsychopharmacology"},{"key":"2026101304332954900_B54","doi-asserted-by":"publisher","first-page":"eadg5136","DOI":"10.1126\/science.adg5136","article-title":"Single-cell multi-cohort dissection of the schizophrenia transcriptome","volume":"384","author":"Ruzicka","year":"2024","journal-title":"Science"},{"key":"2026101304332954900_B55","doi-asserted-by":"publisher","first-page":"eadw7667","DOI":"10.1126\/sciadv.adw7667","article-title":"A causal coding variant regulating alternative splicing of DOC2A at 16p.11.2 GWAS locus influences susceptibility to schizophrenia","volume":"12","author":"Zhou","year":"2026","journal-title":"Sci Adv"},{"key":"2026101304332954900_B56","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1016\/j.cell.2018.05.046","article-title":"Genomic dissection of bipolar disorder and schizophrenia, including 28 subphenotypes","volume":"173","author":"Ruderfer","year":"2018","journal-title":"Cell"},{"key":"2026101304332954900_B57","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1038\/s41398-020-0817-7","article-title":"Pairwise common variant meta-analyses of schizophrenia with other psychiatric disorders reveals shared and distinct gene and gene-set associations","volume":"10","author":"Reay","year":"2020","journal-title":"Transl Psychiatry"},{"key":"2026101304332954900_B58","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1038\/s41380-019-0592-0","article-title":"The genome-wide risk alleles for psychiatric disorders at 3p21.1 show convergent effects on mRNA expression, cognitive function, and mushroom dendritic spine","volume":"25","author":"Yang","year":"2020","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B59","doi-asserted-by":"publisher","first-page":"C404","DOI":"10.1152\/ajpcell.00188.2020","article-title":"ARF family GTPases with links to cilia","volume":"319","author":"Fisher","year":"2020","journal-title":"Am J Physiol Cell Physiol"},{"key":"2026101304332954900_B60","doi-asserted-by":"publisher","first-page":"D1321","DOI":"10.1093\/nar\/gkaf1257","article-title":"TWAS atlas 2.0: an updated data resource for transcriptome-wide association studies","volume":"54","author":"Gao","year":"2026","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B61","doi-asserted-by":"publisher","first-page":"7102","DOI":"10.1038\/s41380-021-01261-4","article-title":"The schizophrenia susceptibility gene NAGA regulates dendritic spine density: further evidence for the dendritic spine pathology of schizophrenia","volume":"26","author":"Li","year":"2021","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B62","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1016\/j.ebiom.2019.05.006","article-title":"Identification of the primate-specific gene BTN3A2 as an additional schizophrenia risk gene in the MHC loci","volume":"44","author":"Wu","year":"2019","journal-title":"eBioMedicine"},{"key":"2026101304332954900_B63","doi-asserted-by":"publisher","first-page":"8520","DOI":"10.1073\/pnas.1607014113","article-title":"Reversal of dendritic phenotypes in 16p11.2 microduplication mouse model neurons by pharmacological targeting of a network hub","volume":"113","author":"Blizinsky","year":"2016","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026101304332954900_B64","doi-asserted-by":"publisher","first-page":"36680","DOI":"10.1038\/srep36680","article-title":"The role of P2\u00d77 receptors in a rodent PCP-induced schizophrenia model","volume":"6","author":"Kov\u00e1nyi","year":"2016","journal-title":"Sci Rep"},{"key":"2026101304332954900_B65","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1038\/s41380-025-03154-2","article-title":"Extracellular matrix dysfunction and synaptic alterations in schizophrenia","volume":"31","author":"Unzueta-Larrinaga","year":"2026","journal-title":"Mol Psychiatry"},{"key":"2026101304332954900_B66","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1038\/nn.3927","article-title":"Social deficits in IRSp53 mutant mice improved by NMDAR and mGluR5 suppression","volume":"18","author":"Chung","year":"2015","journal-title":"Nat Neurosci"},{"key":"2026101304332954900_B67","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.ajhg.2021.01.012","article-title":"Genetic control of the human brain proteome","volume":"108","author":"Robins","year":"2021","journal-title":"Am Hum Genet"},{"key":"2026101304332954900_B68","doi-asserted-by":"publisher","first-page":"e2425537122","DOI":"10.1073\/pnas.2425537122","article-title":"Multiomics integration prioritizes potential drug targets for multiple sclerosis","volume":"122","author":"Jiang","year":"2025","journal-title":"Proc Natl Acad Sci USA"},{"key":"2026101304332954900_B69","doi-asserted-by":"publisher","first-page":"D28","DOI":"10.1093\/nar\/gkaf1172","article-title":"Database resources of the National Genomics Data Center, China National Center for Bioinformation in 2026","volume":"54","author":"CNCB\u2013NGDC Members and Partners","year":"2026","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B70","doi-asserted-by":"publisher","first-page":"D969","DOI":"10.1093\/nar\/gkac924","article-title":"GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals","volume":"51","author":"Liu","year":"2023","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B71","doi-asserted-by":"publisher","first-page":"D1061","DOI":"10.1093\/nar\/gkaf1155","article-title":"EWAS Open Platform 2026: a deeply integrated resource for epigenome-wide association studies","volume":"54","author":"Yang","year":"2026","journal-title":"Nucleic Acids Res"},{"key":"2026101304332954900_B72","doi-asserted-by":"publisher","first-page":"2672","DOI":"10.1038\/s41588-024-01972-8","article-title":"Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer\u2019s disease","volume":"56","author":"Western","year":"2024","journal-title":"Nat Genet"},{"key":"2026101304332954900_B73","doi-asserted-by":"publisher","first-page":"2293","DOI":"10.1038\/s41598-025-85338-y","article-title":"Proteome-wide mendelian randomization identifies causal plasma proteins in interstitial lung disease","volume":"15","author":"Yu","year":"2025","journal-title":"Sci Rep"}],"container-title":["Nucleic Acids Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/nar\/advance-article-pdf\/doi\/10.1093\/nar\/gkag967\/71896690\/gkag967.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/nar\/advance-article-pdf\/doi\/10.1093\/nar\/gkag967\/71896690\/gkag967.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T08:33:38Z","timestamp":1791880418000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/nar\/advance-article\/doi\/10.1093\/nar\/gkag967\/8912977"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,13]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1093\/nar\/gkag967","relation":{},"ISSN":["0305-1048","1362-4962"],"issn-type":[{"value":"0305-1048","type":"print"},{"value":"1362-4962","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,13]]},"article-number":"gkag967"}}