{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T05:27:12Z","timestamp":1768973232352,"version":"3.49.0"},"reference-count":53,"publisher":"Oxford University Press (OUP)","issue":"D1","license":[{"start":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T00:00:00Z","timestamp":1665878400000},"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":["XDB38010400"],"award-info":[{"award-number":["XDB38010400"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDB38010401"],"award-info":[{"award-number":["XDB38010401"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>A broad range of complex phenotypes are related to dysfunctions in brain (hereafter referred to as brain-related traits), including various mental and behavioral disorders and diseases of the nervous system. These traits in general share overlapping symptoms, pathogenesis, and genetic components. Here, we present Brain Catalog (https:\/\/ngdc.cncb.ac.cn\/braincatalog), a comprehensive database aiming to delineate the genetic components of more than 500 GWAS summary statistics datasets for brain-related traits from multiple aspects. First, Brain Catalog provides results of candidate causal variants, causal genes, and functional tissues and cell types for each trait identified by multiple methods using comprehensive annotation datasets (58 QTL datasets spanning 6 types of QTLs). Second, Brain Catalog estimates the SNP-based heritability, the partitioning heritability based on functional annotations, and genetic correlations among traits. Finally, through bidirectional Mendelian randomization analyses, Brain Catalog presents inference of risk factors that are likely causal to each trait. In conclusion, Brain Catalog presents a one-stop shop for the genetic components of brain-related traits, potentially serving as a valuable resource for worldwide researchers to advance the understanding of how GWAS signals may contribute to the biological etiology of brain-related traits.<\/jats:p>","DOI":"10.1093\/nar\/gkac895","type":"journal-article","created":{"date-parts":[[2022,10,16]],"date-time":"2022-10-16T10:07:01Z","timestamp":1665914821000},"page":"D835-D844","source":"Crossref","is-referenced-by-count":19,"title":["Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits"],"prefix":"10.1093","volume":"51","author":[{"given":"Siyu","family":"Pan","sequence":"first","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"},{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9581-1329","authenticated-orcid":false,"given":"Hongen","family":"Kang","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"},{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1653-1434","authenticated-orcid":false,"given":"Xinxuan","family":"Liu","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"},{"name":"School of Future Technology, University of Chinese Academy of Sciences , Beijing 100101, China"}]},{"given":"Shiqi","family":"Lin","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"},{"name":"College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3614-2441","authenticated-orcid":false,"given":"Na","family":"Yuan","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6603-5060","authenticated-orcid":false,"given":"Zhang","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"}]},{"given":"Yiming","family":"Bao","sequence":"additional","affiliation":[{"name":"School of Future Technology, University of Chinese Academy of Sciences , Beijing 100101, China"},{"name":"National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4523-4153","authenticated-orcid":false,"given":"Peilin","family":"Jia","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101, China"}]}],"member":"286","published-online":{"date-parts":[[2022,10,16]]},"reference":[{"key":"2023010804321726500_B1","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1038\/nature13595","article-title":"Biological insights from 108 schizophrenia-associated genetic loci","volume":"511","author":"Schizophrenia Working Group of the Psychiatric Genomics Consortium","year":"2014","journal-title":"Nature"},{"key":"2023010804321726500_B2","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1038\/s41588-018-0090-3","article-title":"Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression","volume":"50","author":"Wray","year":"2018","journal-title":"Nat. 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