Molecular genetic decoding of malformations of cortical development
Malformations of cortical development (MCD) cover a broad spectrum of developmental disorders which cause the various clinical manifestations including epilepsy, developmental delay, and intellectual disability. MCD have been clinically classified based on the disruption of developmental processes s...
Gespeichert in:
Veröffentlicht in: | Journal of genetic medicine 2015-06, Vol.12 (1), p.12-18 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | kor |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 18 |
---|---|
container_issue | 1 |
container_start_page | 12 |
container_title | Journal of genetic medicine |
container_volume | 12 |
creator | Lim, Jae Seok Lee, Jeong Ho |
description | Malformations of cortical development (MCD) cover a broad spectrum of developmental disorders which cause the various clinical manifestations including epilepsy, developmental delay, and intellectual disability. MCD have been clinically classified based on the disruption of developmental processes such as proliferation, migration, and organization. Molecular genetic studies of MCD have improved our understanding of these disorders at a molecular level beyond the clinical classification. These recent advances are resulted from the development of massive parallel sequencing technology, also known as next-generation sequencing (NGS), which has allowed researchers to uncover novel molecular genetic pathways associated with inherited or de novo mutations. Although an increasing number of disease-related genes or genetic variations have been identified, genotype-phenotype correlation is hampered when the biological or pathological functions of identified genetic variations are not fully understood. To elucidate the causality of genetic variations, in vivo disease models that reflect these variations are required. In the current review, we review the use of NGS technology to identify genes involved in MCD, and discuss how the functions of these identified genes can be validated through in vivo disease modeling. |
format | Article |
fullrecord | <record><control><sourceid>kyobo_kisti</sourceid><recordid>TN_cdi_kisti_ndsl_JAKO201523343148981</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4010024694400</sourcerecordid><originalsourceid>FETCH-LOGICAL-k600-d2b3d43aa440e066713cc8c6d9403d00cf396e31acc35ce2f0f62be81df232843</originalsourceid><addsrcrecordid>eNpNj09LxDAUxIMoWNb9Dr14LLzkZdPkuBT_r-xl7yVNXpbatJGmCn57K3pwLgPDj2HmghVCIFaGg75kBRdCVbxW5pptc36DVQpqo0XBmtcUyX1EO5dnmmjpXenJJd9P5zKFcrQxpHm0S5-m_BO4NK-MjSv1STG9jzQtN-wq2Jhp--cbdrq_OzWP1eH48NTsD9WgACovOvQSrZUSCJSqOTqnnfJGAnoAF9AoQm6dw50jESAo0ZHmPggUWuKG3f7WDn1e-nbyObbP-5ejAL5bz0rkUhvN_3FfqUttl9Lg1pU0txI4gJDKrBMAvwESH1K_</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Molecular genetic decoding of malformations of cortical development</title><source>KoreaMed Open Access</source><source>KoreaMed Synapse (Open Access)</source><creator>Lim, Jae Seok ; Lee, Jeong Ho</creator><creatorcontrib>Lim, Jae Seok ; Lee, Jeong Ho</creatorcontrib><description>Malformations of cortical development (MCD) cover a broad spectrum of developmental disorders which cause the various clinical manifestations including epilepsy, developmental delay, and intellectual disability. MCD have been clinically classified based on the disruption of developmental processes such as proliferation, migration, and organization. Molecular genetic studies of MCD have improved our understanding of these disorders at a molecular level beyond the clinical classification. These recent advances are resulted from the development of massive parallel sequencing technology, also known as next-generation sequencing (NGS), which has allowed researchers to uncover novel molecular genetic pathways associated with inherited or de novo mutations. Although an increasing number of disease-related genes or genetic variations have been identified, genotype-phenotype correlation is hampered when the biological or pathological functions of identified genetic variations are not fully understood. To elucidate the causality of genetic variations, in vivo disease models that reflect these variations are required. In the current review, we review the use of NGS technology to identify genes involved in MCD, and discuss how the functions of these identified genes can be validated through in vivo disease modeling.</description><identifier>ISSN: 1226-1769</identifier><identifier>EISSN: 2233-9108</identifier><language>kor</language><publisher>The Korean Society of Medical Genetics</publisher><ispartof>Journal of genetic medicine, 2015-06, Vol.12 (1), p.12-18</ispartof><rights>COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881</link.rule.ids></links><search><creatorcontrib>Lim, Jae Seok</creatorcontrib><creatorcontrib>Lee, Jeong Ho</creatorcontrib><title>Molecular genetic decoding of malformations of cortical development</title><title>Journal of genetic medicine</title><addtitle>Journal of genetic medicine</addtitle><description>Malformations of cortical development (MCD) cover a broad spectrum of developmental disorders which cause the various clinical manifestations including epilepsy, developmental delay, and intellectual disability. MCD have been clinically classified based on the disruption of developmental processes such as proliferation, migration, and organization. Molecular genetic studies of MCD have improved our understanding of these disorders at a molecular level beyond the clinical classification. These recent advances are resulted from the development of massive parallel sequencing technology, also known as next-generation sequencing (NGS), which has allowed researchers to uncover novel molecular genetic pathways associated with inherited or de novo mutations. Although an increasing number of disease-related genes or genetic variations have been identified, genotype-phenotype correlation is hampered when the biological or pathological functions of identified genetic variations are not fully understood. To elucidate the causality of genetic variations, in vivo disease models that reflect these variations are required. In the current review, we review the use of NGS technology to identify genes involved in MCD, and discuss how the functions of these identified genes can be validated through in vivo disease modeling.</description><issn>1226-1769</issn><issn>2233-9108</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>JDI</sourceid><recordid>eNpNj09LxDAUxIMoWNb9Dr14LLzkZdPkuBT_r-xl7yVNXpbatJGmCn57K3pwLgPDj2HmghVCIFaGg75kBRdCVbxW5pptc36DVQpqo0XBmtcUyX1EO5dnmmjpXenJJd9P5zKFcrQxpHm0S5-m_BO4NK-MjSv1STG9jzQtN-wq2Jhp--cbdrq_OzWP1eH48NTsD9WgACovOvQSrZUSCJSqOTqnnfJGAnoAF9AoQm6dw50jESAo0ZHmPggUWuKG3f7WDn1e-nbyObbP-5ejAL5bz0rkUhvN_3FfqUttl9Lg1pU0txI4gJDKrBMAvwESH1K_</recordid><startdate>20150630</startdate><enddate>20150630</enddate><creator>Lim, Jae Seok</creator><creator>Lee, Jeong Ho</creator><general>The Korean Society of Medical Genetics</general><general>대한의학유전학회</general><scope>P5Y</scope><scope>SSSTE</scope><scope>JDI</scope></search><sort><creationdate>20150630</creationdate><title>Molecular genetic decoding of malformations of cortical development</title><author>Lim, Jae Seok ; Lee, Jeong Ho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-k600-d2b3d43aa440e066713cc8c6d9403d00cf396e31acc35ce2f0f62be81df232843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>kor</language><creationdate>2015</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lim, Jae Seok</creatorcontrib><creatorcontrib>Lee, Jeong Ho</creatorcontrib><collection>교보문고스콜라</collection><collection>Scholar(스콜라)</collection><collection>KoreaScience</collection><jtitle>Journal of genetic medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lim, Jae Seok</au><au>Lee, Jeong Ho</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular genetic decoding of malformations of cortical development</atitle><jtitle>Journal of genetic medicine</jtitle><addtitle>Journal of genetic medicine</addtitle><date>2015-06-30</date><risdate>2015</risdate><volume>12</volume><issue>1</issue><spage>12</spage><epage>18</epage><pages>12-18</pages><issn>1226-1769</issn><eissn>2233-9108</eissn><abstract>Malformations of cortical development (MCD) cover a broad spectrum of developmental disorders which cause the various clinical manifestations including epilepsy, developmental delay, and intellectual disability. MCD have been clinically classified based on the disruption of developmental processes such as proliferation, migration, and organization. Molecular genetic studies of MCD have improved our understanding of these disorders at a molecular level beyond the clinical classification. These recent advances are resulted from the development of massive parallel sequencing technology, also known as next-generation sequencing (NGS), which has allowed researchers to uncover novel molecular genetic pathways associated with inherited or de novo mutations. Although an increasing number of disease-related genes or genetic variations have been identified, genotype-phenotype correlation is hampered when the biological or pathological functions of identified genetic variations are not fully understood. To elucidate the causality of genetic variations, in vivo disease models that reflect these variations are required. In the current review, we review the use of NGS technology to identify genes involved in MCD, and discuss how the functions of these identified genes can be validated through in vivo disease modeling.</abstract><pub>The Korean Society of Medical Genetics</pub><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1226-1769 |
ispartof | Journal of genetic medicine, 2015-06, Vol.12 (1), p.12-18 |
issn | 1226-1769 2233-9108 |
language | kor |
recordid | cdi_kisti_ndsl_JAKO201523343148981 |
source | KoreaMed Open Access; KoreaMed Synapse (Open Access) |
title | Molecular genetic decoding of malformations of cortical development |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T14%3A09%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-kyobo_kisti&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Molecular%20genetic%20decoding%20of%20malformations%20of%20cortical%20development&rft.jtitle=Journal%20of%20genetic%20medicine&rft.au=Lim,%20Jae%20Seok&rft.date=2015-06-30&rft.volume=12&rft.issue=1&rft.spage=12&rft.epage=18&rft.pages=12-18&rft.issn=1226-1769&rft.eissn=2233-9108&rft_id=info:doi/&rft_dat=%3Ckyobo_kisti%3E4010024694400%3C/kyobo_kisti%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |