Genetic architecture of brain morphology and overlap with neuropsychiatric traits

Numerous loci have been identified to be associated with brain morphology.Several genomic regions are associated with multiple neuroimaging traits, potentially playing a critical role during brain development and diseases.Genetic evidence suggests correlative, causal, and pleiotropic relationships b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Trends in genetics 2024-08, Vol.40 (8), p.706-717
Hauptverfasser: Ge, Yi-Jun, Fu, Yan, Gong, Weikang, Cheng, Wei, Yu, Jin-Tai
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 717
container_issue 8
container_start_page 706
container_title Trends in genetics
container_volume 40
creator Ge, Yi-Jun
Fu, Yan
Gong, Weikang
Cheng, Wei
Yu, Jin-Tai
description Numerous loci have been identified to be associated with brain morphology.Several genomic regions are associated with multiple neuroimaging traits, potentially playing a critical role during brain development and diseases.Genetic evidence suggests correlative, causal, and pleiotropic relationships between brain morphology and neuropsychiatric diseases.Neuropsychiatric disorders exhibit similar global neuroimaging patterns alongside diverse regional patterns.Exploring the genetics underlying brain morphology holds promise for diagnosing, predicting, and treating neuropsychiatric disorders. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions.
doi_str_mv 10.1016/j.tig.2024.04.005
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3050939616</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168952524000799</els_id><sourcerecordid>3050939616</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-52c022e6883a5dc3897c48d8bf36fa0e0f112d6bfbbff815abfe1f4c0230094e3</originalsourceid><addsrcrecordid>eNp9kEFLwzAYhnNQ3Jz-AC_So5fWpGm6FE8ydAoDEfQc0vTLltE2NUkn-_dmbHoUPgh8vM-b5EHohuCMYFLeb7Ng1lmO8yLDcTA7Q9O452nFcjZBl95vcdzOKbtAE8rnOM_LYorel9BDMCqRTm1MABVGB4nVSe2k6ZPOumFjW7veJ7JvErsD18oh-TZhk_QwOjv4feRkcLEiRCT4K3SuZevh-nTO0Ofz08fiJV29LV8Xj6tUUcxCynIVnwAl51SyRlFezVXBG15rWmqJAWtC8qasdV1rzQmTtQaiiwhRjKsC6AzdHXsHZ79G8EF0xitoW9mDHb2It-CKViUpY5Qco8pZ7x1oMTjTSbcXBIuDPbEV0Z442BM4DmaRuT3Vj3UHzR_xqy4GHo4BiJ_cGXDCKwO9gsa4qFE01vxT_wO5I4OA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3050939616</pqid></control><display><type>article</type><title>Genetic architecture of brain morphology and overlap with neuropsychiatric traits</title><source>Elsevier ScienceDirect Journals</source><creator>Ge, Yi-Jun ; Fu, Yan ; Gong, Weikang ; Cheng, Wei ; Yu, Jin-Tai</creator><creatorcontrib>Ge, Yi-Jun ; Fu, Yan ; Gong, Weikang ; Cheng, Wei ; Yu, Jin-Tai</creatorcontrib><description>Numerous loci have been identified to be associated with brain morphology.Several genomic regions are associated with multiple neuroimaging traits, potentially playing a critical role during brain development and diseases.Genetic evidence suggests correlative, causal, and pleiotropic relationships between brain morphology and neuropsychiatric diseases.Neuropsychiatric disorders exhibit similar global neuroimaging patterns alongside diverse regional patterns.Exploring the genetics underlying brain morphology holds promise for diagnosing, predicting, and treating neuropsychiatric disorders. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions.</description><identifier>ISSN: 0168-9525</identifier><identifier>DOI: 10.1016/j.tig.2024.04.005</identifier><identifier>PMID: 38702264</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>brain morphology ; genetic overlap ; genetics ; magnetic resonance imaging ; neuroimaging</subject><ispartof>Trends in genetics, 2024-08, Vol.40 (8), p.706-717</ispartof><rights>2024 Elsevier Ltd</rights><rights>Copyright © 2024 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c305t-52c022e6883a5dc3897c48d8bf36fa0e0f112d6bfbbff815abfe1f4c0230094e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0168952524000799$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38702264$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ge, Yi-Jun</creatorcontrib><creatorcontrib>Fu, Yan</creatorcontrib><creatorcontrib>Gong, Weikang</creatorcontrib><creatorcontrib>Cheng, Wei</creatorcontrib><creatorcontrib>Yu, Jin-Tai</creatorcontrib><title>Genetic architecture of brain morphology and overlap with neuropsychiatric traits</title><title>Trends in genetics</title><addtitle>Trends Genet</addtitle><description>Numerous loci have been identified to be associated with brain morphology.Several genomic regions are associated with multiple neuroimaging traits, potentially playing a critical role during brain development and diseases.Genetic evidence suggests correlative, causal, and pleiotropic relationships between brain morphology and neuropsychiatric diseases.Neuropsychiatric disorders exhibit similar global neuroimaging patterns alongside diverse regional patterns.Exploring the genetics underlying brain morphology holds promise for diagnosing, predicting, and treating neuropsychiatric disorders. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions.</description><subject>brain morphology</subject><subject>genetic overlap</subject><subject>genetics</subject><subject>magnetic resonance imaging</subject><subject>neuroimaging</subject><issn>0168-9525</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kEFLwzAYhnNQ3Jz-AC_So5fWpGm6FE8ydAoDEfQc0vTLltE2NUkn-_dmbHoUPgh8vM-b5EHohuCMYFLeb7Ng1lmO8yLDcTA7Q9O452nFcjZBl95vcdzOKbtAE8rnOM_LYorel9BDMCqRTm1MABVGB4nVSe2k6ZPOumFjW7veJ7JvErsD18oh-TZhk_QwOjv4feRkcLEiRCT4K3SuZevh-nTO0Ofz08fiJV29LV8Xj6tUUcxCynIVnwAl51SyRlFezVXBG15rWmqJAWtC8qasdV1rzQmTtQaiiwhRjKsC6AzdHXsHZ79G8EF0xitoW9mDHb2It-CKViUpY5Qco8pZ7x1oMTjTSbcXBIuDPbEV0Z442BM4DmaRuT3Vj3UHzR_xqy4GHo4BiJ_cGXDCKwO9gsa4qFE01vxT_wO5I4OA</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Ge, Yi-Jun</creator><creator>Fu, Yan</creator><creator>Gong, Weikang</creator><creator>Cheng, Wei</creator><creator>Yu, Jin-Tai</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20240801</creationdate><title>Genetic architecture of brain morphology and overlap with neuropsychiatric traits</title><author>Ge, Yi-Jun ; Fu, Yan ; Gong, Weikang ; Cheng, Wei ; Yu, Jin-Tai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-52c022e6883a5dc3897c48d8bf36fa0e0f112d6bfbbff815abfe1f4c0230094e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>brain morphology</topic><topic>genetic overlap</topic><topic>genetics</topic><topic>magnetic resonance imaging</topic><topic>neuroimaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ge, Yi-Jun</creatorcontrib><creatorcontrib>Fu, Yan</creatorcontrib><creatorcontrib>Gong, Weikang</creatorcontrib><creatorcontrib>Cheng, Wei</creatorcontrib><creatorcontrib>Yu, Jin-Tai</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Trends in genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ge, Yi-Jun</au><au>Fu, Yan</au><au>Gong, Weikang</au><au>Cheng, Wei</au><au>Yu, Jin-Tai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic architecture of brain morphology and overlap with neuropsychiatric traits</atitle><jtitle>Trends in genetics</jtitle><addtitle>Trends Genet</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>40</volume><issue>8</issue><spage>706</spage><epage>717</epage><pages>706-717</pages><issn>0168-9525</issn><abstract>Numerous loci have been identified to be associated with brain morphology.Several genomic regions are associated with multiple neuroimaging traits, potentially playing a critical role during brain development and diseases.Genetic evidence suggests correlative, causal, and pleiotropic relationships between brain morphology and neuropsychiatric diseases.Neuropsychiatric disorders exhibit similar global neuroimaging patterns alongside diverse regional patterns.Exploring the genetics underlying brain morphology holds promise for diagnosing, predicting, and treating neuropsychiatric disorders. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions. Uncovering the genetic architectures of brain morphology offers valuable insights into brain development and disease. Genetic association studies of brain morphological phenotypes have discovered thousands of loci. However, interpretation of these loci presents a significant challenge. One potential solution is exploring the genetic overlap between brain morphology and disorders, which can improve our understanding of their complex relationships, ultimately aiding in clinical applications. In this review, we examine current evidence on the genetic associations between brain morphology and neuropsychiatric traits. We discuss the impact of these associations on the diagnosis, prediction, and treatment of neuropsychiatric diseases, along with suggestions for future research directions.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>38702264</pmid><doi>10.1016/j.tig.2024.04.005</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0168-9525
ispartof Trends in genetics, 2024-08, Vol.40 (8), p.706-717
issn 0168-9525
language eng
recordid cdi_proquest_miscellaneous_3050939616
source Elsevier ScienceDirect Journals
subjects brain morphology
genetic overlap
genetics
magnetic resonance imaging
neuroimaging
title Genetic architecture of brain morphology and overlap with neuropsychiatric traits
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T21%3A48%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genetic%20architecture%20of%20brain%20morphology%20and%20overlap%20with%20neuropsychiatric%20traits&rft.jtitle=Trends%20in%20genetics&rft.au=Ge,%20Yi-Jun&rft.date=2024-08-01&rft.volume=40&rft.issue=8&rft.spage=706&rft.epage=717&rft.pages=706-717&rft.issn=0168-9525&rft_id=info:doi/10.1016/j.tig.2024.04.005&rft_dat=%3Cproquest_cross%3E3050939616%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3050939616&rft_id=info:pmid/38702264&rft_els_id=S0168952524000799&rfr_iscdi=true